Key Takeaways

- Bounded AI beats “smart” AI — It must follow your policies, not improvise. “Grounded in approved sources…”

- Latency = trust — Delays over a second feel like failure. “A two‑second gap feels like the system is confused.”

- Write‑back is the real automation test — If it can’t update your system, it’s just deflecting. “Hasn’t automated scheduling.”

- Governance is non‑negotiable — You need decision logs, not transcripts. “A structured record of every interaction.”

Let’s say you’re evaluating an AI voice system for your healthcare organization. The vendor demo is polished. The AI handles a scheduling request naturally. It even navigates a tricky insurance question. Your team is impressed. You’re ready to move forward.

Before you do, try this: ask the vendor to show you what happens when a patient calls to reschedule an appointment at a specific location, with a specific provider, under a specific insurance plan, and midway through the call mentions they’re also experiencing symptoms they’re worried about.

That single interaction will tell you more about a system’s production-readiness than any slide deck. Because it forces the system to demonstrate all four layers of what we introduced in Post 2: Pilot Purgatory Is Real — the architecture that determines whether a demo becomes a production system or another stalled pilot.

“Everyone can give a snappy demo that shows a good voice, low latency, and accurate answers to questions, but that is a demo. When you integrate to backend systems, add business rules, and talk to actual people, that is where the AI agents need to be designed and built for those realities.”

— Mark Langanki, Chief AI Officer, IntelePeer

Reliability — Can it stay in bounds?

The first question isn’t “how smart is the AI?” It’s “how constrained is the AI?”

Large language models are, by design, generative. They produce the most likely next response based on patterns. In a creative writing tool, that flexibility is a strength. In a healthcare interaction — where the AI is handling scheduling, billing, or policy questions — the same flexibility becomes a liability the moment the model improvises.

Reliability in agentic AI means bounded behavior:

- The AI’s knowledge should be grounded in approved sources — your policies, your SOPs, your system-of-record data. Not the model’s general training data.

- Every external action — booking an appointment, processing a payment, updating a record — should execute through a validated tool call with permissions, audit trails, and error handling.

- The AI should have explicit rules about what it cannot say: refuse clinical advice, make no coverage guarantees, and hand off to a human with full context when confidence drops.

When a vendor tells you their AI is “highly accurate,” ask: accurate at what? Generating plausible-sounding responses? Or executing bounded actions against verified data? Those are very different capabilities. The distinction between probabilistic generation and bounded execution is explored in depth in the whitepaper The Agentic Advantage.

Real-time performance — Does it sound like a colleague or a broken system?

Voice is the most human interface — and the most punishing. A 200-millisecond gap between conversational turns feels natural. [1] A two-second gap feels like the system is confused. For patients calling a healthcare provider — often while anxious, in pain, or trying to make sense of a confusing bill — the emotional tolerance for friction is effectively zero.

This isn’t just a quality-of-experience issue. It’s a trust issue. If the system sounds like it’s struggling, the caller loses confidence, asks to speak to a human, or hangs up. The revenue cost of that outcome is quantified specialty by specialty in Post 3: Healthcare’s $175K-Per-Doctor Phone Problem.

When evaluating a voice AI system, ask about the end-to-end latency budget. Ask how many network hops exist between the caller and the language model. Ask what happens to response time under load — not during a controlled demo, but at 9:00 AM on a Monday when every patient in the region is calling to reschedule.

Integration — Can it complete work, or just talk about it?

This is the layer where most AI products reveal their limits.

A scheduling AI that can find an available slot but can’t write the appointment back to your practice management system hasn’t automated scheduling. It’s created a more sophisticated version of “please hold while I transfer you.” A collections AI that can discuss a balance but can’t process a payment hasn’t automated collections. It’s created a reminder call with no resolution.

This is the deflection vs. capacity restoration distinction introduced in Post 3. The operational boundary that determines which side you’re on is write-back. When evaluating a vendor, ask which EHR and practice management systems they integrate with — and ask specifically whether those integrations are read-only or bidirectional.

For multi-location organizations running different PMS systems across acquired practices, also ask whether the AI platform is tied to a single PMS vendor or works across systems. That question alone will disqualify several options.

Analytics and governance — Can you see what it did, and prove it?

The final layer is the one that matters most when something goes wrong — and in any production system handling thousands of patient interactions, something will eventually go wrong.

Governance means the system produces a structured record of every interaction. Not just a transcript — a decision log. What intent did the AI identify? What policies did it apply? What tools did it call? When it handed off to a human, did the handoff include full context? Analytics is the layer that makes governance operational: complete outcome tracking, quality signals, and the ability to diagnose why a workflow succeeds or fails — across thousands of interactions, not just the one you happen to audit.

In regulated industries, this isn’t optional. It’s how you answer questions from compliance officers, auditors, and attorneys. But even outside of regulatory requirements, governance is what enables continuous improvement — and what separates a system that gets smarter over time from one that stays stuck at pilot quality.

Ask any vendor two questions. First: “If the AI made a mistake on a call last Tuesday at 2:15 PM, can you show me exactly what happened, why, and what the system has learned from it?” Second: “Can you show me, across the last 30 days, how containment, escalation, and resolution rates have trended — and tie those trends to patient or member outcomes?” If either answer is vague, the system isn’t production-grade. The adoption roadmap and governance framework — including what leaders, boards, and investors should require before scaling — is detailed in the whitepaper The Agentic Advantage.

The board-level checklist

Executives want measurable performance. Boards want risk control. Investors want repeatable outcomes. Before an AI program is ready to scale, leaders should be able to confirm each of the following:

- Escalation policies are defined. The AI has explicit rules for what it cannot do — clinical advice, coverage guarantees, sensitive escalations — and routes to a human with full context when confidence drops or risk rises.

- Audit trails exist. Every interaction produces a structured record — not just a transcript — with intent, policy application, tool calls, and outcome logged in a form that satisfies compliance, legal, and operational review.

- Privacy controls are verified. Data handling, retention, and access controls align with HIPAA and applicable regulations — not as a checkbox, but as an operationally enforced policy.

- Outcomes are tied to KPIs. The program has defined baseline metrics — abandonment rate, containment, no-show rate, cost-to-serve — and can show trend lines, not just point-in-time snapshots.

- A measured expansion plan exists. Scaling is based on proven performance in a narrow set of workflows, with clear criteria for when to expand — not on vendor promises or demo impressions.

If any of these are missing, the program is not ready to scale. That’s not a technology judgment — it’s a governance one.

One question that cuts through everything

Can this system be trusted to complete work in production — not just converse, but act — reliably, in real time, inside our systems, with full accountability?

Then validate each word:

- “Trusted” → analytics, governance, and auditability (Layer 4)

- “Complete work” → write-back integration, not just call handling (Layer 3)

- “In production” → proven at scale, not just in a demo (all four layers under load)

- “Reliably” → bounded behavior, not probabilistic improvisation (Layer 1)

- “In real time” → within the latency budget that human conversation demands (Layer 2)

- “Inside our systems” → your PMS, your EHR, your compliance rules (Layer 3)

- “With full accountability” → structured event logs, outcome analytics, not just transcripts (Layer 4)

Any system that can answer “yes” to all of those deserves serious evaluation. Any system that deflects on even one of them is still a pilot waiting to stall — exactly the pattern described in Post 2.

IntelePeer in practice

IntelePeer SmartAgent is built to answer yes to every pillar of the evaluation framework — and to prove it under real-world conditions. Reliability: grounded knowledge bases tied to your specific policies and system data, with every action executed through validated, permissioned tool calls. Infrastructure control: purpose-built, carrier-grade voice architecture designed for low latency and high availability under production load. Integration: bidirectional integrations with leading EHR and practice management systems — completing work end-to-end. Analytics and governance: SmartAnalytics provides complete interaction visibility, outcome tracking, and the structured audit trails compliance requires.

Key Takeaways

- Clinicians see more patients. AI agents handle every reminder and every scheduling interaction — so no-shows fall and schedule gaps close without clinical teams lifting a finger.

- Admin teams get their time back. SmartEngage works the entire A/R and recall queue autonomously. Balances that would have aged to bad debt get collected. Patients who would have drifted get reactivated.

- Patients get access that actually works. SmartAgent answers every call, 24/7, across voice, SMS, and digital channels. No hold queues. No out-of-hours. No unanswered calls that become lost patients.

The constraint no one talks about

Most practices know their schedules are full. What they don’t talk about is everything that’s slipping through the gaps while the front desk is busy keeping up with what’s already on the books.

Care teams are losing time to no-shows that automated reminders should have prevented. Admin teams are staring at A/R queues and recall lists they have no realistic hope of working through. Patients are calling after hours, reaching voicemail, and quietly finding another provider who picks up.

The problem isn’t effort. Every one of these teams is working hard. The problem is capacity: the human workforce has a ceiling, and the operational demands of a modern healthcare practice have long since exceeded it.

Agentic AI doesn’t replace the people doing this work. It removes the ceiling. SmartAgent handles inbound patient interactions. SmartEngage runs outbound recall and collections. SmartCare manages clinical assessment. SmartAnalytics ties it together with operational visibility across every interaction. What follows is what that actually looks like — for clinicians, for admin teams, and for patients.

AI gives clinicians the freedom to care for more patients

No-shows cost U.S. healthcare $150 billion every year (Curogram, 2024). For a practice, that figure translates to something more immediate: empty slots, lost revenue, and a schedule riddled with gaps that should never have been there.

The mechanism behind most preventable no-shows is a communication failure. The patient didn’t get a reminder in time. The office was closed when they tried to reschedule. They reached voicemail, left no message, and the missed appointment registered as a no-show rather than a preventable cancellation.

SmartAgent closes that gap. AI agents run the entire inbound scheduling workflow — booking, confirming, reminding, and rescheduling — directly in the practice management system, across voice, SMS, and digital channels, 24 hours a day. A patient who wants to reschedule at 10 PM on a Tuesday doesn’t reach voicemail. They reach an agent that resolves the request in one conversation.

SmartEngage runs outbound. Reminder campaigns go out on protocol-defined schedules without staff involvement. When a patient cancels, the waitlist is worked automatically — so the slot doesn’t sit empty. Recall campaigns reach overdue patients before they drift to a competitor.

“The agent doesn’t just answer the call — it resolves it. Patients who used to fall through the cracks because we couldn’t reach them now get booked and stay booked.

— Practice Administrator, multi-site orthopedic group

The result: fewer gaps in the schedule, more patients seen, and a clinical day that runs closer to its intended shape. Clinicians get back the time no-shows used to steal from them.

38% reduction in no-show rates with AI-driven multi-step outreach vs. manual reminders (IntelePeer, 2026)

AI agents free admin staff from endless queues

A practice with 300 active patient accounts averaging a $400 outstanding balance is sitting on $120,000 in recoverable A/R. The problem: billing teams can realistically pursue only a fraction of those accounts before the collection window closes.

Collection probability drops fast. Within 90 days: 90% likelihood of recovery. After 90 days: 50%. After 180 days: 20%. Beyond a year: effectively zero (Rivet Health, 2025). Most practices don’t have the staff to systematically pursue balances before that curve turns against them. The money ages into bad debt while the team works what it can.

SmartEngage works the entire A/R queue autonomously. AI agents initiate contact, conduct empathetic and compliant conversations, negotiate payment plans, and record everything in the practice management system — without staff involvement for routine collections. The balances that would have aged past recovery get contacted in the first two weeks, when collection probability is at its peak.

The same logic applies to recall and reactivation. Long lists of overdue patients that would have sat untouched get worked systematically. Recall appointments get booked. Patients who had drifted get reactivated. The care gap between the care each patient should receive and the care they actually receive starts closing.

Crucially, SmartEngage shares state with SmartAgent. An outbound recall agent calling a patient already knows that patient called in last week about a related prescription. A scheduling agent answering an inbound call can see that the patient is overdue for a follow-up. Every interaction is informed by every previous one. The right hand always knows what the left hand is doing — which, for even the best human teams, is rare.

90% collection probability within 90 days of balance creation — dropping to 20% after 180 days. The window is real and narrow. (Rivet Health, 2025)

For admin teams, this means the work that actually requires human judgment — complex billing disputes, clinical escalations, patient relationship management — gets their full attention. The routine queue works itself.

Patients get the freedom to manage their own care

Most patients who call a practice and can’t get through don’t try again. They find another provider, delay care, or make an expensive trip to the ER that a timely appointment would have prevented. The practice never knows the call came in. It leaves no record.

1 in 3 after-hours calls to PT and orthopedic practices go unanswered (IntelePeer, 2026). That’s not a staffing failure — it’s a structural one. Practices have closing times. Patients have health concerns that don’t observe them.

SmartAgent removes the mismatch. Every call is answered, every day, regardless of when it comes in. Patients can book appointments, check eligibility, request prescription refills, and get answers to clinical questions — in natural conversation, not through menu trees — at any hour. When a situation requires human judgment, the agent escalates immediately and hands off the full context of the conversation so the patient doesn’t have to repeat themselves.

Patients who experience this don’t think about the technology. They think about how easy it was to get what they needed. That experience — fast, resolved, frictionless — is what keeps them on their care plan, on their appointment schedule, and with your practice rather than a more accessible competitor.

73% of PT and orthopedic practice leaders report fewer than 1 in 4 patients use digital scheduling — the phone is still the front door, and it needs to be open. (MGMA, 2025)

FAQ’s

Is Agentic AI ready for deployment in healthcare?

Yes — and it’s already deployed. IntelePeer’s agentic AI platform is operating in live healthcare environments, handling hundreds of thousands of patient calls and recovering millions in patient A/R. IntelePeer’s compliance-first approach means the platform is built for regulated healthcare from the ground up: HIPAA-compliant infrastructure, audit-ready call logs, and strict guardrails on clinical and legal boundaries during every patient interaction.

Is IntelePeer’s Agentic AI platform HIPAA-compliant?

Yes, and compliance is architectural — not a feature layer. IntelePeer operates under a signed Business Associate Agreement, handles PHI within the customer’s own data environment, maintains encrypted transmission and storage, generates audit-ready interaction logs, and applies state-level consent management. When evaluating any AI platform for healthcare, ask to see live compliance documentation, not just certifications. Architecture is the difference.

How do we get staff to accept AI in the practice?

Start with the data, not the pitch. Show your admin team the size of the A/R queue they’ll never realistically work through manually. Show front desk staff how many calls went unanswered after hours last month. When the team sees what SmartAgent and SmartEngage are handling — the calls that couldn’t be answered, the balances that would have aged to bad debt — the conversation shifts from ‘replacing us’ to ‘covering what we couldn’t.’ The fastest adoption we see happens when staff have visibility into the gap before the AI goes live, so they understand what it’s closing.

Will patients be comfortable interacting with AI?

Most patient hesitation disappears after the first interaction. An AI agent that answers immediately, understands what the patient needs, and resolves it in one conversation — without hold music, menu trees, or a callback the next business day — is a better experience than the alternative most patients have been tolerating. What patients care about is whether their need was met. SmartAgent is designed to meet it. The medium becomes invisible when the outcome is right.

How does agentic AI differ from basic automation or IVR?

Basic automation follows a script. Agentic AI follows the patient. A traditional IVR routes a call based on the button the patient presses. SmartAgent understands what the patient says — intent, context, urgency — and acts on it. A patient calling to reschedule who mentions they’ve been in pain gets routed differently than one calling to move a routine follow-up. The agent reasons, decides, and executes multi-step workflows based on what the conversation actually contains, not what menu path the patient navigated.

How long does it take to go live?

Most practices are live on their first workflow within 8 to 12 weeks.

Key Takeaways

- Most CX decisions are made on 3% of the data — meaning 95–97% of interactions go unseen, creating blind spots that quietly drive cost, churn, and operational failures.

- Sampling hides systemic failures — broken AI flows, skipped compliance steps, process drift, and inefficient handoffs only surface when 100% of interactions are analyzed.

- Modern QM is operational intelligence — not back‑office compliance. Full‑coverage QM evaluates every interaction, every agent, every channel, with evidence‑based scoring that removes subjectivity.

- Visibility drives measurable ROI — organizations see meaningful gains, including up to 30% improvement in conversion outcomes, once hidden process gaps are surfaced and fixed.

The Problem Isn’t What You Think

When customer experience breaks down, the instinct is to look at staffing, training, or technology. But more often, the real culprit is simpler and harder to see: bad data.

Not bad as in corrupted. Bad as in incomplete. Most organizations are evaluating 2–5% of their customer interactions and making sweeping operational decisions based on what that tiny sample tells them. The other 95–97%? It’s running in the dark — whether those interactions are handled by a human agent or an AI one.

That’s not a technology problem. It’s a visibility problem — and it affects every industry that touches customers at scale, from multi-location healthcare groups to consumer-facing retail chains to financial services organizations managing millions of account holders.

The fix isn’t more staff. It isn’t ripping out your current tech. It’s analytics and quality management — applied consistently across every interaction, human or AI — and together, they may be the most underestimated competitive lever available to operators today.

Why Sampled Data Lies to You

Here’s what a 3–5% sample actually tells you: it tells you what happened on a handful of calls, reviewed by a handful of supervisors, scored with a handful of opinions. It doesn’t tell you about the human agent who consistently skips a critical verification step. It doesn’t surface the AI agent that can’t recognize “yes, please” as a yes. And it doesn’t flag the process flow that’s routing the wrong caller type into the wrong experience — until hundreds of calls have already transferred unnecessarily to a live queue.

One multi-location organization discovered this firsthand. Their AI-assisted interaction flow was designed to handle a high-volume, straightforward customer journey — but it was failing silently. Customers who responded naturally and conversationally were falling out of the automated flow entirely, landing in a live agent queue that was never meant to absorb that volume. Meanwhile, the human agents receiving those transfers had no visibility into what the AI had already attempted. The result was a spike in handle time, rising cost per interaction, and a customer experience that felt broken on both ends — even though the underlying systems worked fine in isolation. Once full-coverage analytics surfaced the pattern, the fix was fast. The cost of not seeing it sooner was not.

This kind of invisible process failure is not unique to any one industry or any one interaction type. It shows up in financial services contact centers where compliance steps get skipped under volume pressure — by humans and AI alike. It shows up in healthcare where identity verification gaps create regulatory exposure regardless of who — or what — is handling the call. It shows up anywhere that scale has outpaced visibility, which at this point is most places.

What QM Actually Is (And Isn’t)

Quality management has an image problem. For most organizations, it lives in the back office as a compliance checkbox — a supervisor listening to a few calls a month, filling out a scorecard, and filing it somewhere. That version of QM is better than nothing. It is not better than much. And critically, it only ever touches the human side of the operation.

Modern QM, paired with real analytics infrastructure, is something entirely different. It is an operational intelligence layer that evaluates 100% of interactions against a consistent scorecard — every call, every agent, every channel, every time. Human agents and AI agents, held to the same standard, measured with the same methodology. No sampling. No subjectivity. No lag between when something goes wrong and when someone finds out.

The scorecard covers the dimensions that actually move outcomes: how interactions open, how needs get assessed, how problems get resolved, how calls close. Each score carries evidence — verbatim moments from the actual interaction, timestamped, with speaker context. This matters as much for AI agent evaluation as it does for human coaching. Scores without evidence are opinions. Scores with evidence are auditable, coachable, and actionable — whether you’re retraining an agent or retraining a model.

Layered on top are speaker and conversation metrics — talk ratios, response latency, interruption patterns, words per minute — and configurable compliance flags that fire on every interaction. Organizations define what “non-negotiable” means for their own context, and the system holds that line at 100% coverage, regardless of whether a human or an AI is on the other end of the conversation.

The Patterns You Can’t See at 3%

One of the most consistent findings in full-coverage QM deployments is that the problems hiding in the other 97% are not random. They’re systemic — and they’re invisible until you have the coverage to find them. They also rarely respect the human/AI boundary. A broken handoff between an AI agent and a human agent won’t show up in a human QM sample. It won’t show up in AI monitoring either, if those systems aren’t looking at the full interaction end to end.

Some patterns that surface consistently across industries:

- A single location or team running a divergent process — not because of bad intent, but because no one caught the drift. At 3% sample rates, location-level variance rarely shows up until it’s already a real problem, whether the drift is in how a human handles a call or how an AI routes one.

- Seasonal or volume-driven performance drops that look like training issues but are actually staffing signals. Patience scores that decline 15% during peak periods point to headcount planning — and when AI agents are absorbing overflow, the same analytics reveal whether the AI is holding up or becoming the bottleneck.

- New hire ramp patterns that reveal where onboarding is underinvesting. If new agents hit standard on communication in two weeks but take six weeks on product knowledge, the onboarding program should front-load product content — and now you can prove it and adjust AI agent training to compensate in the interim.

- Post-training lift that is measurable in days, not estimated months later — for both human performance improvements and AI model updates. Full-coverage analytics makes the feedback loop tight enough to actually manage against.

AI Automation Is Hard. Evaluating It Shouldn’t Be.

There is a reason organizations that rush into AI automation often find themselves pulling it back out. AI automation is genuinely difficult — handling the natural variation in how real people communicate, routing correctly across diverse caller types, completing end-to-end workflows without human fallback. The failure modes are real and they surface in production, not in testing.

AI evaluation — using analytics and QM to assess how AI agents are actually performing against the same standards you hold your human agents to — is a more tractable problem with a faster path to value. It identifies process gaps before customers experience them at scale. It surfaces the edge cases that weren’t anticipated in training. And it gives organizations the evidence they need to improve AI agent performance continuously, rather than learning about failures from customer complaints or rising transfer rates.

Equally important: QM applied to human agents in an AI-enabled environment tells a different story than it did before. Are human agents picking up where AI left off, or are they starting from scratch on every transfer? Are they following through on what the AI already confirmed, or duplicating steps that erode the customer’s experience? Those questions only get answered when the full interaction — AI-handled and human-handled — is visible in one place.

When analytics and QM are applied across the entire operation — human and AI, inbound and outbound, every channel — organizations gain something they rarely have: a consistent, objective view of what their customer experience actually looks like. Not a sample of it. Not an estimate of it. The real thing.

The Business Case Across Industries

The question that tends to stall QM conversations is: what does this actually return? The short answer is that the return is embedded in what you’re already spending and losing.

Organizations that have deployed full-coverage QM and analytics consistently see improvement across key business KPIs — with some reporting a 30% uptick in conversion-related outcomes once process gaps are identified and closed. That number reflects what happens when you stop making decisions on incomplete data and start managing against the full picture, across every agent and every interaction type.

The operational math is straightforward: every process failure that repeats across thousands of interactions carries a real cost — in unnecessary transfers, in customer churn, in compliance exposure, in coaching that addresses symptoms instead of root causes. Full-coverage analytics makes those costs visible across your entire workforce, human and AI. Making them visible is the first step to eliminating them.

Visibility Is the Strategy

The organizations quietly winning on customer experience are not always the ones with the most sophisticated AI or the largest customer service teams.

What Are Multifamily Loans and How Do They Work?

Key Takeaways

- What they are: Multifamily loans are commercial financing products for buying, refinancing, renovating, or developing multifamily properties (duplexes to large apartment communities), evaluated on both borrower strength and the property’s income potential.

- How they work: Lenders underwrite based on rent rolls, operating statements, occupancy, market demand, property condition, and projected cash flow; terms vary by strategy (long‑term hold, acquisition, renovation, or repositioning).

- Why investors choose multifamily: Multiple units create diversified rental income, operational efficiency at scale, and value‑creation opportunities through improvements, rent growth, and better management.

- Common loan types: Conventional multifamily loans for stabilized assets; agency loans (Fannie/Freddie) for larger communities; bridge loans for quick acquisitions or renovations; value‑add financing for repositioning; and private/commercial lending for speed and flexibility.

Investing in multifamily real estate has long been one of the most effective ways to build wealth through property ownership. Unlike single-family rental properties, multifamily investments can generate multiple streams of rental income from a single asset, making them attractive to both new and experienced investors.

Whether you’re purchasing a duplex, a small apartment building, or a large multifamily community, financing plays a critical role in the success of your investment strategy. Understanding how Multifamily Loans work can help you make informed decisions, identify the right financing solution, and position yourself for long-term growth.

In this guide, we’ll explain what multifamily loans are, how they work, the different financing options available, and what investors should consider before pursuing a multifamily acquisition.

Ready to discuss your multifamily financing needs? Visit the Contact page to learn more about our lending experience and connect with our team to explore financing options for your next investment property.

Understanding Multifamily Properties

Before discussing financing, it’s important to understand what qualifies as a multifamily property.

A multifamily property is a residential real estate asset that contains multiple separate housing units within a single building or complex. Each unit typically has its own living space, kitchen, bathroom, and entrance.

Examples of multifamily properties include:

- Duplexes

- Triplexes

- Fourplexes

- Small apartment buildings

- Large apartment communities

- Mixed-use residential developments

These properties are often attractive because they provide multiple income sources from a single investment. If one unit becomes vacant, rental income from the remaining units can help offset operating expenses and mortgage payments.

For many investors, multifamily real estate represents a practical path toward portfolio growth and financial stability.

What Are Multifamily Loans?

Multifamily Loans are financing products designed specifically for the purchase, refinance, renovation, or development of multifamily residential properties.

Unlike traditional home mortgages that focus primarily on the borrower’s personal income and credit profile, multifamily lenders typically evaluate both the borrower and the property’s income-producing potential.

In many cases, the property’s cash flow becomes one of the most important factors in determining loan eligibility. Because multifamily properties are considered investment assets, lenders often analyze: The goal is to ensure that both the borrower and the property represent a sound investment from a lending perspective.

How Do Multifamily Loans Work?

The basic structure of a multifamily loan is similar to other types of commercial real estate financing.

An investor identifies a property, submits a loan application, and works with a lender to secure financing. However, the underwriting process often includes a more detailed review of the property’s financial performance.

The lender evaluates factors such as:

- Current rent rolls

- Historical operating statements

- Occupancy trends

- Property condition

- Market demand

- Projected cash flow

Once approved, the lender provides funds for the acquisition or refinance of the property.

Loan terms can vary significantly depending on the property type, investment strategy, and lender requirements. Some loans are structured for long-term ownership, while others are designed to support short-term acquisitions, renovations, or repositioning projects.

Because every multifamily investment is unique, financing solutions are often tailored to fit the specific goals of the investor.

Why Investors Choose Multifamily Real Estate

Multifamily properties offer several advantages that continue to attract investors across market cycles.

One major benefit is the ability to generate income from multiple units within a single property. This diversification can help reduce risk compared to relying on a single tenant.

Multifamily investments also allow owners to scale more efficiently. Managing twenty units within one building is often more practical than managing twenty separate single-family homes spread across different locations.

Another advantage is the potential for value creation. Investors can improve operations, renovate units, increase rental income, and enhance property value over time.

These characteristics make multifamily real estate a popular choice for investors seeking both cash flow and appreciation.

Common Types of Multifamily Loans

There is no single financing solution that fits every multifamily investment.

Different loan products are designed to support different acquisition strategies and investment goals.

Conventional Multifamily Loans

Conventional financing is often used for stabilized properties with strong occupancy and predictable cash flow.

These loans generally offer competitive interest rates but may require extensive documentation and longer approval timelines.

Agency Loans

Government-sponsored entities such as Fannie Mae and Freddie Mac offer multifamily financing programs for qualified properties.

These loans are often used for larger apartment communities and long-term investment strategies.

Bridge Loans

Bridge financing is commonly used when investors need to acquire a property quickly or complete renovations before obtaining permanent financing.

These short-term loans can provide flexibility during transitional periods.

Value-Add Financing

Some investors purchase properties that require improvements or operational enhancements.

Specialized financing can help fund renovations and repositioning efforts designed to increase property value.

Private and Commercial Lending Solutions

Commercial lenders often provide flexible financing options for investors who require faster closings or more customized loan structures than traditional institutions can offer.

What Lenders Look for in Multifamily Loan Applications

When reviewing a multifamily financing request, lenders evaluate several key factors.

Property Performance

The property’s ability to generate income is one of the most important considerations.

A property with strong occupancy rates and consistent rental income is generally viewed more favorably than one experiencing operational challenges.

Borrower Financial Strength

Lenders assess the investor’s financial position, liquidity, credit profile, and overall ability to manage the investment.

Market Conditions

Location remains a significant factor in commercial real estate lending.

Properties located in growing markets with strong rental demand often receive more favorable consideration.

Property Condition

The physical condition of the asset can influence both loan approval and financing terms.

Well-maintained properties typically present less risk to lenders.

Explore Multifamily Bridge Loan Options If you’re considering a multifamily investment or need short-term financing solutions, learn how bridge loans work and when they may be the right choice for your property strategy.

Multifamily Loans vs. Single-Family Investment Financing

Many investors begin their real estate journey with single-family rental properties before transitioning into multifamily assets. While both property types can generate income, multifamily investments often provide greater scalability.

Single-family investments rely on one tenant. If that tenant vacates the property, income drops to zero until a replacement is found. Multifamily properties spread that risk across multiple tenants.

This is one reason investors frequently use multifamily home financing when expanding beyond individual rental properties and into larger income-producing assets. As portfolios grow, investors often discover that multifamily loans provide opportunities to increase cash flow and operational efficiency.

The Role of Multifamily Loans in Portfolio Growth

Many successful real estate investors use multifamily properties as a foundation for long-term wealth creation.

As rental income grows and property values appreciate, investors can leverage equity to acquire additional assets and expand their portfolios.

Financing plays an essential role in this process. Rather than waiting years to accumulate sufficient capital for each acquisition, investors can use financing strategically to accelerate growth and take advantage of market opportunities.

Some investors also use multifamily acquisitions as part of broader tax planning strategies. For example, investors completing a property exchange may work with a 1031 exchange lender to facilitate the acquisition of a multifamily replacement property.

In these situations, 1031 exchange financing can help investors preserve tax advantages while transitioning into larger income-producing assets.

How to Get a Hard Money Loan in California

If you’re a real estate investor who needs financing quickly, understanding how to get a hard money loan in California can open up opportunities that may be difficult to finance through a traditional bank. Hard money loans are commonly used for investment real estate purchases, refinances, cash-out transactions, renovations, and other situations where speed and flexibility are important.

Unlike conventional financing, hard money lenders tend to focus more heavily on the property and available equity rather than relying primarily on the borrower’s credit score and debt-to-income ratio. At Wilshire Quinn Capital, we are a direct portfolio lender providing short-term real estate financing in California and nationwide. Here’s what investors should know before applying for a hard money loan in California.

What Is a Hard Money Loan?

A hard money loan is a short-term loan secured by real estate. These loans are generally provided by private or portfolio lenders rather than traditional banks. The biggest difference is the underwriting process.

Traditional lenders commonly place significant emphasis on credit history, income, debt-to-income ratios, and other personal financial factors. With asset-based lending, the property’s value and the equity securing the loan play a much larger role.

This can make hard money financing useful when an investor needs to move quickly, is purchasing a property that requires substantial renovations, or has a financing scenario that doesn’t fit conventional lending guidelines. You can learn more in our guide to what hard money is and how it works.

How to Get a Hard Money Loan in California

Although every lender has its own underwriting guidelines, obtaining a hard money loan generally starts with the property itself. Here are several of the most important factors to consider.

1. Find a California Hard Money Lender

Your first step is choosing a lender experienced with the type of real estate you’re financing. Look beyond the advertised interest rate. Investors should also consider:

- Whether the company is a direct lender or broker

- Property types the lender finances

- Loan amounts

- Loan-to-value requirements

- Loan terms

- Origination fees

- Geographic lending areas

- Typical closing times

- Experience with California real estate

Wilshire Quinn is a direct portfolio lender, not a loan broker, with California offices in San Diego, Los Angeles, and San Francisco. Learn more about working with a California hard money lender.

2. Determine How Much Equity You Have

One of the most important considerations in hard money lending is loan-to-value (LTV). LTV compares the requested loan amount with the property’s value. Because the real estate serves as collateral for the loan, lenders generally want sufficient equity protecting the transaction.

For example, Wilshire Quinn’s current lending program provides financing of up to 60% LTV. For rehabilitation loans, financing may reach up to 60% of the after-repair value (ARV), subject to additional purchase-price limitations and underwriting requirements. The exact amount available will depend on the property, transaction, borrower, and overall loan scenario.

3. Know What Type of Property You’re Financing

Hard money financing can potentially be used for many different types of investment real estate. Wilshire Quinn considers properties including:

- Multifamily properties

- Non-owner-occupied single-family investment properties

- Condominiums

- Retail centers

- Office buildings

- Industrial and warehouse properties

- Hotels and motels

- Healthcare and assisted living facilities

- Mixed-use and special-purpose properties

- Parking garages and lots

Investors can review additional options on our lending options page. The property’s location, condition, intended use, value, and income potential can all affect how a lender evaluates a transaction.

4. Have a Clear Purpose for the Loan

A lender will also want to understand what you’re trying to accomplish. California real estate investors may seek hard money financing for a:

- Purchase: Quickly acquiring an investment property when conventional financing isn’t practical.

- Refinance: Replacing an existing loan with short-term financing.

- Cash-out refinance: Accessing equity in an investment property for another investment, renovation, or business purpose.

- Rehabilitation project: Purchasing or improving a property that needs significant renovations before it can be stabilized or sold.

- 1031 exchange: Obtaining financing to help complete a time-sensitive real estate transaction associated with an exchange.

- Clearly defining the purpose of your financing helps the lender evaluate whether your scenario fits its lending guidelines.

Before moving forward with a hard money loan, it’s important to understand all the associated costs, including lender points and origination fees. Learn more how lender points affect your total borrowing costs and what to consider when comparing financing options.

5. Prepare Your Exit Strategy

Hard money loans are typically designed as short-term financing, so borrowers should have a realistic plan for repaying the loan. This is commonly called an exit strategy.

Depending on the investment, an exit strategy might include refinancing through a conventional lender after stabilizing the property, selling a renovated property, selling another asset, or obtaining longer-term financing.

For example, an investor might use a hard money loan to purchase and renovate an apartment property. Once renovations are complete and occupancy improves, the investor could refinance into longer-term financing. A well-defined exit strategy can be an important part of evaluating whether short-term financing makes sense for a particular investment.

6. Submit Your Property and Loan Information

Once you’ve identified a lender, you’ll need to provide information about your proposed transaction. Depending on the situation, a lender may ask about the:

- Property address

- Property type

- Estimated property value

- Purchase price

- Requested loan amount

- Existing loan balance

- Purpose of the loan

- Renovation plans

- Borrower information

- Proposed exit strategy

Wilshire Quinn allows borrowers to submit a hard money loan request online. Because hard money underwriting focuses heavily on the underlying real estate, the approval process can often move faster than conventional bank financing.

7. Review the Loan Terms Carefully

Before accepting financing, understand the complete cost and structure of the loan.

Important factors include the interest rate, origination points, closing costs, loan term, monthly payment structure, LTV, and any other applicable fees or requirements. Wilshire Quinn’s current bridge lending parameters include loans from $500,000 to $20 million, terms generally ranging from 3 to 18 months, interest-only payments, and rates currently listed between 9% and 12%.

Origination fees generally range from 1 to 5 points, depending on factors such as property, location, LTV, creditworthiness, loan amount, and term. Loan programs and terms can change, and every transaction is evaluated individually, so borrowers should request current terms for their specific scenario.

How Fast Can You Get a Hard Money Loan in California?

Speed is one of the primary reasons investors consider hard money financing. A traditional real estate loan can involve extensive underwriting and documentation. That timeline can create problems when an investor needs to close quickly on a competitive property.

Wilshire Quinn currently offers pre-approval in approximately 24 hours and typically funds qualifying transactions in five to seven days. Actual closing times depend on the property, documentation, valuation, title, transaction complexity, and other underwriting considerations. For investors competing for California real estate, having access to a lender capable of making decisions quickly can be an important advantage.

Hard money loans can offer real estate investors a faster, more flexible financing option when traditional lending timelines don’t align with their investment goals. Understanding why borrowers choose hard money lenders can help you determine whether this type of financing fits your next deal. Discover why borrowers utilize hard money lenders.

Do You Need Good Credit for a Hard Money Loan?

Not necessarily. Credit can still be considered, but hard money and bridge lenders generally place greater emphasis on the property’s value and available equity than conventional banks.

This is why hard money financing may be worth exploring for investors whose credit profile, income documentation, or property doesn’t fit conventional underwriting standards. However, having weaker credit doesn’t automatically mean a borrower will qualify. The entire transaction—including property value, equity, loan amount, exit strategy, and borrower profile—still needs to meet the lender’s underwriting requirements.

How Much Do You Need to Put Down on a Hard Money Loan?

There isn’t one universal down payment requirement for every California hard money loan. Instead, lenders commonly evaluate transactions based on LTV and the amount of equity protecting the loan.

For purchases, this means the borrower may need to contribute a substantial portion of the property’s purchase price. Refinances work differently because existing equity in the property may provide the required collateral. The exact equity requirement will depend on your lender and transaction.

Understanding your down payment and equity requirements is an important step when planning a hard money loan, especially for time-sensitive real estate investments. Learn more about fast 1031 exchange financing with hard money loans.

What Are the Benefits of a Hard Money Loan?

Hard money financing isn’t the right solution for every real estate transaction, but it can provide several advantages for investors.

How to Get a Hard Money Loan in San Francisco

San Francisco real estate can move quickly, and traditional financing may not always match the timeline or flexibility real estate investors need. If you’re purchasing, refinancing, renovating, or accessing equity in an investment property, a hard money loan in San Francisco may provide an alternative to conventional bank financing.

Hard money loans are generally short-term, real estate-secured loans that place greater emphasis on the value and equity of the property than traditional lending criteria. At Wilshire Quinn Capital, we provide hard money and bridge loans for commercial and non-owner-occupied residential properties in California and nationwide. If you’re considering this type of financing, here’s how to get a hard money loan in San Francisco and what to expect during the process.

What Is a Hard Money Loan?

A hard money loan is financing secured primarily by real estate. Instead of relying primarily on factors such as income documentation, debt-to-income ratios, and credit scores, hard money lenders typically place significant emphasis on the underlying property’s value and available equity. This asset-based approach can make hard money useful for investors who need to:

- Purchase investment property quickly

- Refinance an existing real estate loan

- Access equity through a cash-out refinance

- Renovate or reposition an investment property

- Acquire property that may not qualify for conventional financing

- Complete a time-sensitive real estate transaction

Learn more about how hard money loans work.

How to Get a Hard Money Loan in San Francisco

Hard money lenders have different underwriting guidelines, but the process generally starts with the property and your proposed transaction. Here are the key steps.

1. Find a San Francisco Hard Money Lender

Start by identifying lenders that understand the San Francisco and Bay Area real estate markets. When comparing lenders, consider more than just the advertised interest rate. Review factors such as:

- Loan-to-value limits

- Minimum and maximum loan amounts

- Property types financed

- Loan terms

- Origination fees

- Closing timelines

- Geographic coverage

- Whether the company is a direct lender or broker

Working with a direct lender can be beneficial when timing is important because the company making the lending decision controls its own capital. Wilshire Quinn Capital is a direct portfolio lender with a San Francisco office serving real estate investors throughout Northern California and the Bay Area.

Choosing the right hard money lender in San Francisco involves evaluating loan terms, fees, property eligibility, and funding timelines. Learn how Wilshire Quinn Capital provides hard money loans for your business.

2. Determine Your Property’s Value and Equity

Property value is one of the most important factors when applying for a hard money loan.

Hard money lenders frequently use loan-to-value (LTV) to determine how much they’re willing to lend. LTV compares your loan amount to the property’s value. For example, if an investment property is worth $2 million and the requested loan is $1 million:

$1,000,000 ÷ $2,000,000 = 50% LTV

Lower LTV generally means the borrower has more equity in the property, which can reduce the lender’s risk. Wilshire Quinn’s current lending parameters provide financing of up to 60% LTV, subject to underwriting and the specifics of each transaction.

3. Identify the Purpose of Your San Francisco Hard Money Loan

Before applying, clearly define why you need financing. Hard money loans can potentially be used for several investment-related purposes.

Investment Property Purchases

A hard money loan may allow an investor to move quickly when purchasing a San Francisco or Bay Area property, particularly when conventional financing would take too long.

Refinancing

Investors can potentially use hard money to refinance existing real estate debt when a traditional refinance isn’t immediately available.

Cash-Out Refinancing

Property owners with sufficient equity may be able to access a portion of that equity for business or investment purposes.

Property Rehabilitation

Hard money can be particularly useful when a property requires improvements before it qualifies for conventional financing.

Bridge Financing

A bridge loan can provide temporary financing while an investor works toward a longer-term solution, property sale, or refinance.

4. Make Sure the Property Qualifies

Hard money lenders can finance a broader range of properties than many conventional lending programs, but every lender establishes its own guidelines. Wilshire Quinn considers financing for property types including:

- Non-owner-occupied single-family properties

- Condominiums

- Multifamily properties

- Apartment buildings

- Office properties

- Retail centers

- Industrial properties

- Warehouses

- Mixed-use properties

- Hotels and motels

- Healthcare properties

- Special-purpose properties

- Parking garages and lots

This flexibility can be particularly useful in the Bay Area, where investment opportunities range from residential rental properties to multifamily, mixed-use, retail, office, and other commercial assets. Review Wilshire Quinn’s current lending options for additional information.

5. Prepare a Clear Exit Strategy

One of the most important parts of obtaining a hard money loan is explaining how you intend to repay it. Because hard money is generally short-term financing, lenders want to see a realistic exit strategy. Common strategies include:

- Selling the property: An investor renovates or repositions a property and sells it.

- Conventional refinancing: An investor improves or stabilizes the property before refinancing into longer-term financing.

- Selling another asset: Proceeds from another real estate transaction may be used to repay the loan.

- Long-term financing: A bridge loan can provide temporary capital while permanent financing is arranged.

Your exit strategy should be realistic for the property’s condition, business plan, loan term, and current real estate environment.

6. Gather Information About the Property

Hard money applications can often be more streamlined than traditional bank financing, but borrowers should still be prepared to provide detailed information. Your lender may request information such as:

- Property address

- Property type

- Purchase price

- Estimated market value

- Current loan balance

- Requested loan amount

- Intended use of funds

- Renovation budget

- Borrower information

- Proposed exit strategy

Having this information ready can help expedite the lender’s initial evaluation.

7. Submit Your Hard Money Loan Application

Once you’ve selected a lender and gathered the necessary property information, the next step is submitting your loan request. Because the property is a major component of underwriting, an experienced hard money lender can often provide an initial indication relatively quickly.

San Francisco investors can submit a loan request to Wilshire Quinn Capital for consideration.

How Fast Can You Get a Hard Money Loan in San Francisco?

One of the biggest reasons investors use hard money is speed. Traditional commercial and investment-property loans can require extensive documentation and underwriting. Hard money lenders may be able to move considerably faster. Wilshire Quinn currently provides pre-approval in approximately 24 hours and typically funds qualifying transactions in approximately five to seven days.

Actual funding times vary depending on factors such as the property, valuation, title, documentation, transaction complexity, and underwriting. In a competitive market such as San Francisco, a faster financing process can be valuable when an investment opportunity has a short closing timeline.

What Credit Score Do You Need for a San Francisco Hard Money Loan?

There isn’t one universal credit score requirement for every hard money lender. Unlike conventional financing, hard money underwriting tends to place greater emphasis on the property’s value and available equity.

Creditworthiness may still be considered as part of the overall transaction, but a lower credit score doesn’t necessarily eliminate the possibility of obtaining financing. The lender will typically consider the entire scenario, including:

- Property value

- Available equity

- LTV

- Loan amount

- Property type

- Borrower profile

- Loan purpose

- Exit strategy

This can provide additional flexibility for real estate investors who don’t fit traditional bank lending guidelines.

While credit score requirements vary among hard money lenders, approval often depends on more than credit alone. Learn more how to qualify for a hard money loan and what lenders consider during the approval process.

How Much Down Payment Do You Need for a Hard Money Loan?

There is no single down payment requirement that applies to every hard money loan. Instead, lenders typically establish an acceptable maximum LTV. For a property purchase, the difference between the lender’s maximum loan amount and the purchase price generally needs to come from the borrower or another acceptable source.

Refinancing works differently because the borrower may already have significant equity in the property. The required equity will ultimately depend on the lender, property, transaction, and underwriting.

How Much Does a Hard Money Loan Cost in San Francisco?

Hard money financing generally costs more than conventional bank financing. Borrowers should evaluate the complete cost of the loan rather than focusing only on the interest rate. Costs can include:

- Interest

- Origination points

- Valuation or appraisal expenses

- Title and escrow costs

- Legal or documentation expenses

- Other applicable closing costs

Wilshire Quinn’s current bridge lending parameters list interest rates generally ranging from 9% to 12% and origination fees generally ranging from 1 to 5 points.

Choosing a drone for government use involves more than comparing flight time, payload capacity, camera specifications and cost. For U.S. government agencies, procurement decisions must also account for applicable security, cybersecurity and supply-chain requirements.

That is where NDAA compliance becomes an important consideration.

The term NDAA compliant drone is widely used across the drone industry, particularly in government and defence procurement, but understanding exactly what it means can be challenging. What does Section 848 of the National Defense Authorization Act (NDAA) require? What is the difference between Blue UAS and Green UAS? And how can government buyers determine whether a drone meets the requirements that apply to their organization?

This guide breaks down the key considerations government drone buyers should understand when evaluating NDAA-compliant drones and selecting a platform for their operations.

NDAA Compliance: What It Is and What You Need to Know

The National Defense Authorization Act (NDAA) is annual U.S. legislation that establishes policies and authorities related to national defence and security. For organizations purchasing drones for government or defence applications, certain NDAA provisions have important implications for UAS procurement and supply-chain security.

One of the most relevant is Section 848 of the FY2020 NDAA (10 U.S.C. § 4871 note), which restricts the U.S. Department of Defense from operating or procuring certain unmanned aircraft systems associated with covered foreign countries.

Under Section 848, the covered countries are China, Russia, Iran and North Korea.

Understanding NDAA compliance for drones, however, requires looking beyond where the finished aircraft is manufactured or assembled. Section 848 also addresses critical UAS components, software and supporting infrastructure

For government drone buyers, this means evaluating more than the country of origin listed on the aircraft. A drone assembled in an approved country is not necessarily NDAA compliant if restricted components, software or data services are used elsewhere within the system.

What Components are Covered Under NDAA Section 848?

When evaluating an NDAA-compliant drone, government buyers need to look beyond where the aircraft itself is manufactured. Section 848 also applies to several critical components and systems that make up an unmanned aircraft system.

A drone may be assembled in the United States or another approved country, but buyers should still understand the origin of key components, including flight controllers, radios, data-transmission devices, cameras and gimbals.

The same scrutiny applies to the broader UAS ecosystem. Ground-control systems and operating software, as well as network connectivity and data storage, can also affect whether a platform meets applicable NDAA requirements.

For government agencies, this makes supply-chain transparency an essential part of drone procurement. Buyers should understand not only who manufactures the aircraft, but also where its critical hardware and software originate, how the system communicates, and where operational data is stored or administered.

Blue UAS vs. Green UAS

When researching NDAA-compliant drones, these two terms frequently appear: Blue UAS and Green UAS. While both are intended to help organizations identify secure and trusted drone technologies, they serve slightly different purposes.

Blue UAS originated as a U.S. Department of Defense initiative to evaluate commercial drones and components for defence use. The Blue List, now managed by the Defense Contract Management Agency (DCMA), identifies unmanned systems and components that have undergone the applicable assessment process and are approved for Department of Defense procurement and operation.

Since Blue UAS status can change as platforms and manufacturers complete the review process, buyers should always verify a system against the official Blue List rather than relying solely on manufacturer marketing materials or older product documentation.

Green UAS, meanwhile, is an industry-led certification program administered by the Association for Uncrewed Vehicle Systems International (AUVSI). It evaluates areas such as cybersecurity, supply-chain integrity and trusted components and was originally designed to provide additional assurance for commercial, government, public safety and critical-infrastructure users.

In July 2025, the Defense Innovation Unit formally recognized the Green UAS certification process as an accepted pathway to achieving Blue UAS Cleared status. This alignment gives manufacturers another route through the assessment process while helping government buyers identify platforms that have undergone independent cybersecurity and supply-chain review.

In practical terms, Blue UAS is closely tied to U.S. Department of Defense procurement, while Green UAS provides a broader cybersecurity and supply-chain assurance framework that can also lead to Blue UAS Cleared status.

Neither designation, however, eliminates the need to review the specific procurement rules, security requirements and contract conditions that apply to the purchasing agency.

How Can You Verify a Manufacturer’s NDAA Claim?

When a manufacturer describes a drone as NDAA compliant, that is an important starting point – but government buyers should take additional steps before making a purchase.

Start by confirming the exact model covered by the claim. A product family may include different aircraft, radios, controllers, payloads or software configurations, and those differences can affect compliance.

Buyers should also request information about the origin of its critical components, operating software, communications systems and data storage infrastructure.

If the manufacturer states that a particular system is Blue UAS Cleared, verify the exact model against the current official Blue UAS list.

Federal buyers should also consider requirements introduced by the American Security Drone Act of 2023 (ASDA) and implemented through the Federal Acquisition Regulation (FAR) Subpart 40.2. Under these rules, a FASC-prohibited unmanned aircraft system is a UAS manufactured or assembled by an American Security Drone Act-covered foreign entity. The Federal Acquisition Security Council maintains the applicable covered-entity list, which is published through SAM.gov.

Finally, buyers should review the agency’s solicitation and contract requirements. A manufacturer’s general NDAA claim does not automatically satisfy every requirement attached to a particular procurement.

Does Section 848 Apply to Every Government Buyer?

The answer depends on the buyer and the procurement.

Section 848 specifically applies to the Department of Defense. However, other federal agencies are also subject to additional drone procurement restrictions.

The American Security Drone Act of 2023 (ASDA) introduced additional restrictions that are now implemented through FAR Subpart 40.2. Executive agencies generally cannot acquire a FASC-prohibited UAS unless an applicable exemption, exception, or waiver applies.

The rules also address certain UAS operating services and the use of federal funds for UAS procurement and operations.

Therefore, if you are buying a drone for a federal agency, the relevant question is not only “Is this drone NDAA compliant?” but also “What procurement requirements apply to my agency?”

That distinction is important because NDAA compliance may be only one part of the overall procurement review.

What About State and Local Government Agencies?

Federal requirements are not the only consideration for government drone buyers.

States and local jurisdictions may establish their own restrictions and requirements for government drone procurement and use. Depending on the state, these may address manufacturers, countries of concern, cybersecurity or the use of government funds.

If you are purchasing a drone for a state, county, city, police department, fire department, or emergency management agency, review the applicable state and local requirements before making a purchase.

A drone that meets one federal requirement may still need additional review under state or local rules.

What Happens If You Buy a Non-Compliant Drone?

For a government agency, selecting the wrong drone can become both a compliance and procurement problem.

Under current federal acquisition rules, executive agencies generally cannot acquire a FASC-prohibited UAS unless an applicable exemption, exception or waiver applies.

Depending on the circumstances, this can result in procurement delays, additional costs, contract complications or a system that cannot be used or funded as originally planned. It is much easier to identify these issues during vendor selection than after a contract has been signed.

NDAA-Compliant Drones for Government Agencies

Once the compliance requirements are understood, the next step is finding a system that meets the agency’s operational needs.

Volatus Aerospace offers a range of UAS and payload solutions designed for government, defence, public safety and other security-sensitive applications. Depending on the platform and configuration, these include systems identified by Volatus or their manufacturers as NDAA compliant, Blue UAS Cleared or both.

Inspired Flight offers American-made UAS designed for government and defence applications. Volatus currently lists the Inspired Flight fleet as NDAA compliant and Blue sUAS certified, with platforms suited to applications ranging from public safety and mapping to ISR and specialized payload operations. Explore Inspired Flight

Vantage Robotics TRACE is a compact, American-made nano UAS designed for rapid deployment and covert aerial intelligence. Volatus lists TRACE as NDAA compliant, with AES-256 encryption and capabilities designed for tactical and GPS-denied environments.

Full-spectrum qualification enables Volatus to compete across multiple areas of Canadian defence procurement

MIRABEL, Québec, Sept. 08, 2026 (GLOBE NEWSWIRE) — Volatus Aerospace Inc. (TSX: FLT) (OTCQX: TAKOF) (Frankfurt: ABB.F) (“Volatus” or the “Company”), a Canadian-headquartered global aerospace and defence company, today announced that it has successfully qualified in all five streams of the Government of Canada’s Defence Drone Initiative (DDI) Marketplace. The qualification positions Volatus to compete for future requirements across the full scope of the Marketplace and reflects the breadth of the Company’s technology, engineering, integration, training and operational capabilities.

The five streams include: Uncrewed and Autonomous Systems (UxS) and counter-UxS; communications and data systems; engineering and integration services; testing and training; and innovation and experimentation.

“Qualification across all five streams distinguishes Volatus as a broad-based Canadian defence and aerospace platform,” said Glen Lynch, Chief Executive Officer of Volatus. “It positions us to compete not only for individual requirements, but also for opportunities requiring an integrated combination of aircraft, autonomy, engineering, systems integration, training and operational expertise. Supported by our Mirabel manufacturing hub and Vaughan Operations Control Centre, we believe Volatus is well positioned to contribute to Canada’s growing sovereign defence capability.”

This expanded qualification follows Volatus’ September 3, 2026, announcement confirming its initial selection for the DDI Marketplace. The subsequent confirmation that Volatus qualified in each of the Marketplace’s five streams broadens the range of future requirements for which the Company may be eligible to compete.

The DDI Marketplace is intended to accelerate access to emerging technologies through a streamlined procurement mechanism connecting the Department of National Defence and the Canadian Armed Forces with pre-qualified Canadian suppliers.

Volatus’ integrated capabilities span aircraft systems, autonomy, engineering, systems integration, manufacturing, training and real-world operations, areas that align directly with the five DDI Marketplace streams. The Company continues to invest and build sovereign Canadian defence capacity through its Innovation and Manufacturing Hub in Mirabel, Quebec, and Operations Control Centre in Vaughan, Ontario, while serving defence and security customers in Canada and allied markets.

Qualification under the DDI Marketplace does not constitute a reward of a procurement contract or guarantee future revenue. It enables Volatus to compete for applicable requirements issued through the Marketplace. The timing, scope and value of any potential resulting opportunities will depend on future requirements, competitive procurement process, and decisions by the Government of Canada.

About Volatus Aerospace

Volatus Aerospace is a Canadian-headquartered global aerospace and defence company delivering intelligence and cargo solutions through piloted and remotely piloted aircraft systems. With operations, training programs and strategic partnerships spanning multiple continents, Volatus supports government, defence and commercial customers worldwide. The Company leverages advanced technologies, remote operations expertise and aviation experience to solve complex operational challenges in demanding environments.

Forward-Looking Information

This news release contains statements that constitute “forward-looking information” and “forward-looking statements” within the meaning of applicable securities laws, including statements regarding the plans, intentions, beliefs, and current expectations of the Company with respect to future business activities, events, developments and operating performance. Often, but not always, forward-looking information and forward-looking statements can be identified by the use of words such as “plans”, “expects”, “is expected”, “budget”, “scheduled”, “estimates”, “forecasts”, “intends”, “anticipates”, “seeks”, “strategy” or “believes” or variations (including negative variations) of such words and phrases, or statements formed in the future tense or indicating that certain actions, events or results “may”, “could”, “would”, “might” or “will” (or other variations of the foregoing) be taken, occur, be achieved, or come to pass. Forward-looking information includes information regarding: (i) the business plans, business outlook and expectations of the Company; and (ii) expectations for other economic, business, and/or competitive factors.

Forward-looking information is based on currently available competitive, financial, and economic data and operating plans, strategies, or beliefs as of the date of this news release, but involve known and unknown risks, uncertainties, assumptions and other factors that may cause the actual results, performance or achievements of the Company to be materially different from any future results, performance or achievements expressed or implied by the forward-looking information. Such factors may be based on information currently available to the Company, including information obtained from third-party industry analysts and other third-party sources, and are based on management’s current expectations or beliefs. Any and all forward-looking information contained in this news release is expressly qualified by this cautionary statement.

Investors are cautioned that forward-looking information is not based on historical facts but instead reflects expectations, estimates or projections concerning future results or events based on the opinions, assumptions and estimates of management considered reasonable at the date the statements are made. Forward-looking information and forward-looking statements reflect the Company’s current beliefs and is based on information currently available to it and on assumptions it believes to be not unreasonable in light of all of the circumstances. In some instances, material factors or assumptions are discussed in this news release in connection with statements containing forward-looking information. Such material factors and assumptions include but are not limited to: the commercialization of drone flights beyond visual line of sight and potential benefits to the Company; and meeting the continued listing requirements of the TSX. Although the Company has attempted to identify important factors that could cause actual actions, events or results to differ materially from those described in forward-looking information, there may be other factors that cause actions, events or results to differ from those anticipated, estimated or intended. The forward-looking information contained herein is made as of the date of this news release and, other than as required by law, the Company disclaims any obligation to update any forward-looking information, whether as a result of new information, future events or results or otherwise. There can be no assurance that forward-looking information will prove to be accurate, as actual results and future events could differ materially from those anticipated in such statements. Accordingly, readers should not place undue reliance on forward-looking information.

No securities regulatory authority has either approved or disapproved of the contents of this news release. The Toronto Stock Exchange accepts no responsibility for the adequacy or accuracy of this news release.

For additional information, please contact:

Volatus Aerospace Inc. 

Rob Walker, Chief Commercial Officer 

+1-833-865-2887 

investorrelations@volatusaerospace.com 

https://volatusaerospace.com

Initial award includes 100 tactical ISR systems under a Government of Canada procurement framework valued at up to C$25 million

MIRABEL, Québec, Sept. 10, 2026 (GLOBE NEWSWIRE) — Volatus Aerospace Inc. (TSX: FLT) (OTCQX: TAKOF) (Frankfurt: ABB.F) (“Volatus” or the “Company”), a Canadian-headquartered global aerospace and defence company, today announced that it has been awarded a five-year contract by the Government of Canada to supply Low-Cost Tactical Intelligence, Surveillance and Reconnaissance (ISR) Uncrewed Aircraft Systems (UAS) to the Canadian Armed Forces (CAF).

The initial procurement includes 100 tactical ISR UAS systems, and provides Canada, at its sole discretion, with options to acquire up to an additional 4,900 tactical ISR UAS, creating a procurement pathway for as many as 5,000 systems in total. The Government of Canada’s procurement framework established a maximum price of C$5,000 per system and contemplated a maximum procurement envelope of C$25 million. Volatus’ contracted pricing remains commercially confidential.

Volatus was selected through the first Request for Proposal issued under Stream 1, Uncrewed and Autonomous Systems and counter-UxS, of the Government of Canada’s Defence Drone Initiative (DDI) Marketplace. The award follows Volatus’ qualification across all five DDI work streams and represents the Company’s first conversion of its DDI qualification into a CAF contract.

The contract covers an end-to-end tactical ISR solution, including aircraft, payloads, ground control stations, data links, training, sustainment, spare parts, documentation, and software and firmware support. The systems are intended to provide the CAF with a sustainable UAS capability supporting land forces across a wide range of missions.

“Canada is seeking sovereign, secure and supportable defence technologies that can be fielded efficiently and scaled as operational requirements evolve,” said Glen Lynch, Chief Executive Officer of Volatus. “It validates the strength of our integrated model, which extends beyond aircraft delivery to include payload integration, training, sustainment and technical support. We are proud to help strengthen Canada’s sovereign capacity to field and support operationally relevant uncrewed systems.”

The Company’s growing Canadian manufacturing, integration and operational footprint, including its Innovation and Manufacturing Hub in Mirabel, Québec, and Operations Control Centre in Vaughan, Ontario, positions Volatus to support Canada’s objective of building a resilient domestic defence industrial base.

Beyond this contract, Volatus’ qualification across all five DDI streams enables the Company to compete for future requirements involving uncrewed systems, communications, engineering and integration, testing and training, and innovation and experimentation. Each future opportunity and award will remain subject to a separate Government of Canada procurement process.

Delivery of the initial tranche is expected to begin in the fourth quarter of 2026. The optional systems are not committed purchases, backlog or revenue. Any exercise of the options remains at the sole discretion of Canada and will be subject to applicable government requirements, approvals and contract amendments.

About Volatus Aerospace

Volatus Aerospace is a Canadian-headquartered global aerospace and defence company delivering intelligence and cargo solutions through piloted and remotely piloted aircraft systems. With operations, training programs and strategic partnerships spanning multiple continents, Volatus supports government, defence and commercial customers worldwide. The Company leverages advanced technologies, remote operations expertise and aviation experience to solve complex operational challenges in demanding environments.

Forward-Looking Information

This news release contains statements that constitute “forward-looking information” and “forward-looking statements” within the meaning of applicable securities laws, including statements regarding the plans, intentions, beliefs, and current expectations of the Company with respect to future business activities, events, developments and operating performance. Often, but not always, forward-looking information and forward-looking statements can be identified by the use of words such as “plans”, “expects”, “is expected”, “budget”, “scheduled”, “estimates”, “forecasts”, “intends”, “anticipates”, “seeks”, “strategy” or “believes” or variations (including negative variations) of such words and phrases, or statements formed in the future tense or indicating that certain actions, events or results “may”, “could”, “would”, “might” or “will” (or other variations of the foregoing) be taken, occur, be achieved, or come to pass. Forward-looking information includes information regarding: (i) the business plans, business outlook and expectations of the Company; and (ii) expectations for other economic, business, and/or competitive factors.

Forward-looking information is based on currently available competitive, financial, and economic data and operating plans, strategies, or beliefs as of the date of this news release, but involve known and unknown risks, uncertainties, assumptions and other factors that may cause the actual results, performance or achievements of the Company to be materially different from any future results, performance or achievements expressed or implied by the forward-looking information. Such factors may be based on information currently available to the Company, including information obtained from third-party industry analysts and other third-party sources, and are based on management’s current expectations or beliefs. Any and all forward-looking information contained in this news release is expressly qualified by this cautionary statement.

Investors are cautioned that forward-looking information is not based on historical facts but instead reflects expectations, estimates or projections concerning future results or events based on the opinions, assumptions and estimates of management considered reasonable at the date the statements are made. Forward-looking information and forward-looking statements reflect the Company’s current beliefs and is based on information currently available to it and on assumptions it believes to be not unreasonable in light of all of the circumstances. In some instances, material factors or assumptions are discussed in this news release in connection with statements containing forward-looking information. Such material factors and assumptions include but are not limited to: the commercialization of drone flights beyond visual line of sight and potential benefits to the Company; and meeting the continued listing requirements of the TSX. Although the Company has attempted to identify important factors that could cause actual actions, events or results to differ materially from those described in forward-looking information, there may be other factors that cause actions, events or results to differ from those anticipated, estimated or intended. The forward-looking information contained herein is made as of the date of this news release and, other than as required by law, the Company disclaims any obligation to update any forward-looking information, whether as a result of new information, future events or results or otherwise. There can be no assurance that forward-looking information will prove to be accurate, as actual results and future events could differ materially from those anticipated in such statements. Accordingly, readers should not place undue reliance on forward-looking information.

No securities regulatory authority has either approved or disapproved of the contents of this news release. The Toronto Stock Exchange accepts no responsibility for the adequacy or accuracy of this news release.

For additional information, please contact:

Volatus Aerospace Inc. 

Rob Walker, Chief Commercial Officer 

+1-833-865-2887 

investorrelations@volatusaerospace.com 

https://volatusaerospace.com

For Hash Chishty, a career in aerospace has always been about more than the technology itself. With bachelor’s and master’s degrees in Aeronautical & Aerospace Engineering and previous experience as a Boeing 737 Performance Engineer, Hash brings a strong technical foundation to his role as U.K. Sales Manager at Volatus Aerospace.

For close to two years, Hash has helped expand Volatus’ enterprise drone solutions across the U.K., working with organizations to understand complex operational challenges and identify where autonomy and aerial intelligence can deliver meaningful value. From advancing autonomous infrastructure inspections to building strategic client partnerships, his approach is grounded in a simple principle: understand the problem first, then find the right solution.

In this edition of Voices of Volatus, Hash shares what drew him to aerospace, the experiences that shaped his move into technical sales, and why he believes the future of uncrewed technology is ultimately about transforming how industries operate.

What do you enjoy most about working with your team?

The relentless drive to innovate. Every day, I’m surrounded by experts who don’t just understand drone technology, but are deeply passionate about solving complex challenges for our clients. We operate with a shared vision, when you combine that level of technical acumen with a genuinely collaborative spirit, it creates an electric environment where we push each other to excel.

What is one project or accomplishment at Volatus you are especially proud of?

Spearheading the expansion of our enterprise drone solutions across the UK infrastructure sector. Over the past 20 months, securing a key strategic partnership that allowed a major client to transition to autonomous aerial inspections stands out. It wasn’t just a revenue win; it was a testament to how our technology directly enhances safety, efficiency, and sustainability on a massive scale.

What excites you most about the work you do?

Being at the absolute leading edge of the aerospace revolution. We aren’t just selling a product, we are fundamentally transforming how industries operate. From logistics and public safety to agriculture and infrastructure. Helping organisations unlock value they didn’t even know was possible through autonomy and aerial data is incredibly rewarding.

What first sparked your interest in aerospace, aviation, drones, autonomy or technology?

I have a Bachelors and Master’s degree in Aeronautical & Aerospace Engineering, I’ve always been in awe of aviation and it continues to be a passion of mine that I relish.

What skills or experiences have shaped your career the most?

Active listening and the ability to translate complex technical capabilities into clear, actionable business value. Early on, I learned that clients don’t buy technology; they buy solutions to their problems. Pairing a consultative approach with resilience and a deep curiosity for emerging tech has been the cornerstone of my career progression.

How would you describe the culture at Volatus?

Forward-thinking, agile, and deeply supportive. We operate in an industry that evolves by the minute, and our culture reflects that pace. Yet, despite the rapid growth, there’s an inherent belief in empowering individuals. You are given the autonomy to lead, the resources to succeed, and a team that genuinely celebrates collective wins.

What’s something people may be surprised to learn about you?

I used to be a Boeing 737 Performance Engineer before making the pivot into technical sales.

What is the best career advice you’ve received?

Fall in love with the problem, not the solution.” In sales and technology, it’s easy to get tunnel vision on the shiny new product. But if you relentlessly focus on understanding the customer’s core pain points, the right solution will always follow, and the partnerships you build will be unbreakable.

Discover more stories from across Volatus Aerospace and meet the people whose expertise, dedication and ideas are helping move our organization forward. Explore more Voices of Volatus employee profiles.