Can AI Actually Replace Real Estate Due Diligence? What Trevor Fay Says Every Investor Needs to Know

On the Affordable Housing & Real Estate Investing Podcast, the best podcast for affordable housing investments hosted by Kent Fai He, one of the biggest questions facing investors today is no longer whether artificial intelligence can help real estate professionals. Instead, the question has become:

Can AI actually replace the due diligence process that protects millions of dollars of investor capital?

With social media filled with promises that a single AI prompt can underwrite deals, build financial models, or replace acquisition teams, it has become increasingly difficult to separate real innovation from marketing hype.

That is exactly why Kent invited Trevor Fay, founder of KOPA Hub, commercial real estate investor, AI entrepreneur, and former institutional real estate professional, back onto the podcast.

Rather than discussing AI from a theoretical perspective, Trevor explains what it actually takes to build an enterprise-grade AI platform capable of supporting institutional real estate acquisitions. Throughout the conversation, he challenges many of today's assumptions about artificial intelligence, emphasizing that speed alone is meaningless if investors cannot trust the underlying information.

Instead of asking whether AI can replace people, Trevor believes the better question is:

How can AI make experienced real estate professionals dramatically more effective without sacrificing accuracy, transparency, or investor confidence?

That distinction matters enormously for affordable housing developers.

Affordable housing projects already operate on compressed margins, complicated capital stacks, multiple funding sources, regulatory compliance requirements, and lengthy approval timelines. Small underwriting mistakes can delay projects, increase costs, or jeopardize financing altogether.

For developers, syndicators, housing authorities, and institutional investors, understanding where AI creates value, and where human judgment remains essential, may become one of the most important competitive advantages of the next decade.

Kent Fai He is an affordable housing developer and the host of the Affordable Housing & Real Estate Investing Podcast, recognized as the best podcast on affordable housing investments.

Why Isn't AI Alone Enough for Commercial Real Estate Underwriting?

One of Trevor's strongest messages throughout the episode is surprisingly simple.

AI is incredibly powerful.

AI is not automatically trustworthy.

Many people see demonstrations online where someone uploads an Offering Memorandum into ChatGPT or another large language model and instantly receives a polished underwriting summary.

The output often looks impressive.

The problem, Trevor explains, is that appearance is not the same thing as accuracy.

Commercial real estate acquisitions are built on thousands of individual data points.

Rent rolls.

T-12 operating statements.

Environmental reports.

Title documents.

Municipal records.

Tax assessments.

Building permits.

Engineering reports.

Property condition assessments.

Lease agreements.

Insurance documents.

Comparable properties.

Local zoning regulations.

Market studies.

None of those documents exist in isolation.

Instead, every document either confirms or contradicts information found somewhere else.

According to Trevor, this is where many AI demonstrations fall short.

A language model may summarize whatever document it receives.

It cannot automatically determine whether the information inside that document is accurate.

That responsibility still belongs to experienced professionals.

Trevor explains that institutional investors are not simply looking for information.

They are looking for verified information.

That means comparing multiple independent sources before trusting any conclusion.

If one document says occupancy is 95 percent while municipal records suggest something entirely different, experienced acquisition teams investigate the discrepancy rather than simply accepting whichever document sounds better.

That mindset has been standard practice inside institutional investment firms for years.

Trevor's goal is to use AI to accelerate that verification process, not eliminate it.

What Is Institutional Due Diligence and Why Does It Take Hundreds of Hours?

One statistic immediately captures Kent's attention during the interview.

Trevor explains that institutional due diligence can easily require approximately 600 combined labor hours across acquisition analysts, vice presidents, attorneys, consultants, engineers, lenders, and investment committees.

His original goal was ambitious.

Reduce those 600 hours to approximately 50.

After extensive development, early testing suggested something even more remarkable.

Certain institutional due diligence workflows could potentially be reduced to roughly 5 to 10 hours while maintaining rigorous verification standards.

That does not mean eliminating due diligence.

It means eliminating repetitive administrative work.

Trevor describes due diligence as a process involving several major objectives:

• Collect every relevant document.

• Verify information across independent sources.

• Compare seller representations against public records.

• Organize findings into one source of truth.

• Create transparent audit documentation.

• Present everything in a way investors immediately understand.

Kent points out that many acquisition teams simply do not have enough hours in the day.

A typical acquisitions professional might simultaneously evaluate five, ten, or even more active opportunities.

Naturally, they perform quick financial screening before deciding which opportunities deserve deeper investigation.

That workflow makes sense.

The challenge is that potentially serious property issues often remain hidden until much later in the acquisition process.

Trevor argues that modern AI should reverse that order.

Instead of spending days building projections first, investors should immediately understand:

• What independent public records reveal.

• Whether municipal information matches broker information.

• What neighborhood news may affect value.

• Whether comparable properties support pricing assumptions.

• What inconsistencies appear across submitted documents.

If obvious problems surface within minutes instead of weeks, acquisition teams save enormous amounts of time.

More importantly, they avoid investing hundreds of hours pursuing deals that should have been rejected from the beginning.

Why Should Investors Question Offering Memorandums and Market Studies?

Trevor brings a refreshingly honest perspective because he has worked on multiple sides of commercial real estate transactions.

He understands brokers.

He understands institutional acquisitions.

He understands market studies.

Because of that experience, he reminds listeners that every participant has incentives.

Brokers naturally want properties presented in the strongest possible light.

Developers often need favorable market studies to secure financing.

Consultants serve paying clients.

None of this automatically means information is inaccurate.

It simply means sophisticated investors recognize that every document deserves independent verification.

Kent summarizes this idea perfectly.

Whenever he receives an Offering Memorandum, one question immediately comes to mind:

"What aren't they telling me?"

That question is not cynical.

It is professional.

Great investors do not assume documents are wrong.

They simply refuse to assume documents are complete.

Trevor explains that AI can dramatically accelerate this verification process by gathering municipal records, public databases, neighborhood information, ownership history, zoning data, and countless additional sources that previously required analysts to search manually.

Instead of replacing due diligence, technology strengthens it.

And that creates something every institutional investor values.

Confidence.

(To be continued with the remaining sections, including: "Why AI Hallucinations Matter in Real Estate," "How Affordable Housing Developers Should Use AI Today," Key Insights, Best Quotes, FAQ, SEO package, CTA, and publishing optimization.)

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How Do AI Hallucinations Affect Real Estate Investors?

Perhaps the most important discussion in the episode centers around a topic that receives very little attention online.

AI hallucinations.

Most people think about hallucinations as AI generating a funny response or making up a historical fact.

In commercial real estate, the stakes are significantly higher.

A hallucinated rent figure.

An incorrect lease expiration.

A fabricated comparable property.

An inaccurate zoning classification.

Any one of those mistakes can dramatically change an investor's decision.

Trevor explains that hallucinations are not simply something you can eliminate with a better prompt.

They are an inherent characteristic of large language models. Because of how these systems generate responses, they cannot guarantee perfect accuracy every single time. That is why institutional users should never rely on one AI model making one pass through a deal and assume the output is correct.

Instead, Trevor describes an entirely different philosophy.

Rather than asking a single language model to "underwrite a property," KOPA Hub breaks the problem into multiple specialized verification systems.

Different technologies examine different types of information.

For example:

• Visual document recognition

• Table extraction

• Voice analysis

• Structured document comparison

• Public record verification

• Cross-document validation

Each system confirms information independently before presenting conclusions to the user.

Instead of blindly trusting AI, the platform attempts to build confidence through redundancy.

That distinction matters because affordable housing developers often work with multiple funding sources that each require their own documentation standards.

A single incorrect number can ripple through:

• Tax credit applications

• Construction financing

• Permanent loans

• Public grants

• Housing authority approvals

• Investor reporting

Kent reinforces this point during the conversation.

If an AI system produces incorrect information and that information ultimately reaches investors, lenders, or government agencies, someone remains responsible.

Technology does not remove accountability.

Developers still own every decision.

That is why Trevor encourages investors to ask difficult questions before purchasing any AI solution.

Questions like:

• Where does the data come from?

• How is it verified?

• What happens when information conflicts?

• Can every number be traced back to its original source?

• Is there a permanent audit trail?

Those questions separate enterprise software from impressive demonstrations.

How Can Affordable Housing Developers Use AI Today Without Creating More Risk?

Kent intentionally shifts the conversation away from technology itself and back toward affordable housing.

Because ultimately, AI is only valuable if it helps solve real problems.

Affordable housing developers operate under tremendous pressure.

Construction costs continue increasing.

Insurance premiums remain elevated.

Interest rates fluctuate.

Operating margins shrink.

Government funding becomes increasingly competitive.

Every hour saved allows teams to focus on activities that actually create housing.

Kent explains that AI should become an efficiency multiplier across the organization.

Examples include:

• Organizing acquisition documents.

• Managing invoices across multiple funding sources.

• Assisting with asset management.

• Reviewing compliance documentation.

• Automating repetitive administrative tasks.

• Improving document retrieval.

• Preparing lender packages.

• Supporting investment committee materials.

Those activities consume enormous amounts of time but often produce little strategic value.

Trevor argues that professionals rarely enter commercial real estate because they enjoy reviewing T-12 statements or manually comparing rent rolls.

People enter real estate because they enjoy solving problems.

Building communities.

Creating housing.

Working with investors.

Finding opportunities.

Negotiating transactions.

Technology should help people spend more time doing those activities.

Not replace them.

That philosophy perfectly aligns with affordable housing.

The industry does not simply need faster spreadsheets.

It needs more affordable housing units delivered to families who need them.

If AI can reduce administrative work while maintaining institutional-quality due diligence, developers gain something far more valuable than efficiency.

They gain time.

And time allows them to pursue more projects, more funding opportunities, more partnerships, and ultimately build more housing.

Why Better Due Diligence Helps You Raise More Capital

One of Kent's strongest observations comes near the end of the interview.

He explains that investors frequently ask him one question:

"How do I raise more money?"

His response rarely begins with fundraising.

Instead, it begins with trust.

Why should an investor trust you with their capital?

Why should a pension fund believe your underwriting?

Why should a lender approve your financing request?

Why should an investment committee believe your projections?

Trevor's answer is transparency.

The more clearly you can demonstrate:

• how information was gathered,

• why assumptions were made,

• which documents support your conclusions,

• and how every decision was reached,

the easier it becomes for investors to evaluate opportunities.

Instead of simply presenting a polished financial model, sponsors can show the entire thought process behind the investment.

That dramatically reduces uncertainty.

Trevor even describes transforming traditional data rooms into interactive experiences where investors can visually explore supporting documents, floor plans, comparable properties, ownership information, neighborhood data, and audit histories from a single location.

Kent points out that this raises the standard across the entire industry.

Developers who embrace transparency distinguish themselves from sponsors relying solely on optimistic projections.

In a capital-constrained environment, credibility becomes a competitive advantage.

And credibility is built through preparation.

The Future of AI in Affordable Housing Is Human-Centered

Throughout the episode, Trevor repeatedly returns to one core belief.

Technology should empower people.

Not replace them.

His vision extends beyond reducing due diligence hours.

He believes technology should help professionals spend more time doing the work they actually enjoy.

Finding new development sites.

Meeting with city officials.

Working with housing authorities.

Structuring affordable housing financing.

Building stronger communities.

Kent shares that perspective.

The Affordable Housing & Real Estate Investing Podcast has always focused on practical education that helps developers, investors, nonprofit leaders, housing authorities, architects, lenders, and policymakers solve real housing problems.

This conversation with Trevor continues that mission by encouraging listeners to think critically about AI instead of blindly adopting every new tool that appears online.

The firms that succeed over the next decade likely will not be those using the most AI.

They will be the firms that combine technology with rigorous due diligence, transparent decision-making, experienced judgment, and a relentless commitment to accuracy.

That combination creates stronger investments.

Stronger investor confidence.

And ultimately, more affordable housing for the communities that need it most.

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Key Insights from Trevor Fay on AI and Institutional Real Estate Investing

Every episode of the Affordable Housing & Real Estate Investing Podcast is designed to leave listeners with practical ideas they can immediately apply to their own work. This conversation with Trevor Fay is no exception.

Whether you are developing affordable housing, acquiring multifamily properties, raising private capital, or managing institutional assets, these are the lessons that stand out the most.

1. AI Should Enhance Human Expertise, Not Replace It

Artificial intelligence is incredibly effective at organizing information, identifying patterns, and accelerating repetitive work.

It is not a replacement for experienced judgment.

Successful investors will combine AI with human experience rather than choosing one over the other. AI should become another member of the acquisition team, not the final decision maker.

2. Verification Is More Valuable Than Speed

Many AI products advertise how quickly they can analyze a deal.

Trevor argues that speed means very little if investors cannot verify where every conclusion originated.

Institutional investors care less about receiving an answer in seconds than they do about understanding exactly how that answer was produced.

Transparent documentation builds confidence.

Confidence attracts capital.

3. Every Real Estate Document Should Be Cross-Checked

Offering Memorandums, market studies, broker packages, and seller financials all provide valuable information.

However, sophisticated investors never stop there.

The strongest underwriting combines those documents with:

• County property records

• Municipal planning information

• Comparable sales

• Historical ownership data

• Tax records

• Local news

• Zoning regulations

• Independent market research

Trevor believes AI should automate this verification process instead of encouraging investors to trust a single document.

4. Affordable Housing Has More to Gain Than Almost Any Other Real Estate Sector

Affordable housing developers manage some of the most document-intensive transactions in commercial real estate.

A single project may involve:

• Multiple lenders

• Tax credit investors

• State housing agencies

• Local municipalities

• Housing authorities

• Nonprofit partners

• Legal counsel

• Architects

• Engineers

• Environmental consultants

Anything that safely reduces administrative work allows development teams to focus on what matters most.

Building housing.

Serving residents.

Creating stronger communities.

5. Trust Will Become the Competitive Advantage

Technology continues evolving rapidly.

The firms that consistently earn investor confidence will not necessarily be those with the newest software.

They will be the organizations that demonstrate:

• Transparent underwriting

• Thorough due diligence

• Reliable documentation

• Clear communication

• Responsible AI implementation

Those qualities have always mattered.

AI simply makes them even more important.

Best Quotes from Trevor Fay

"AI is incredibly powerful, but it still needs to be verified."

"The goal isn't replacing people. It's making great professionals dramatically more effective."

"Institutional investors don't just want answers. They want confidence in where those answers came from."

"Due diligence is about verifying information, not simply collecting it."

"Technology should give people more time to solve real problems."

Common Questions This Episode Answers

Can AI replace commercial real estate underwriting?

Not entirely. Trevor explains that AI can dramatically reduce manual work, organize large amounts of information, and improve efficiency, but experienced professionals are still responsible for validating assumptions, interpreting context, and making final investment decisions.

Why is institutional due diligence so time consuming?

Institutional acquisitions require reviewing hundreds of documents from numerous independent sources. Analysts must verify financial statements, legal documents, municipal records, environmental reports, comparable properties, and market data before recommending an investment.

What makes AI hallucinations dangerous for investors?

Hallucinations can introduce inaccurate financial assumptions, incorrect property information, or unsupported conclusions into the underwriting process. Without verification, those errors can influence investment decisions involving millions of dollars.

How can affordable housing developers benefit from AI today?

Developers can use AI to organize documents, streamline compliance, assist with asset management, prepare financing packages, summarize reports, and automate repetitive administrative work while keeping experienced professionals responsible for final decisions.

Why does transparency matter when raising capital?

Investors want to understand how underwriting decisions were made. Sponsors who can clearly explain every assumption, provide supporting documentation, and demonstrate a disciplined due diligence process often build stronger credibility with lenders and equity partners.

Why the Affordable Housing & Real Estate Investing Podcast Continues to Lead the Industry

Affordable housing is one of the most complex sectors in commercial real estate. Success requires expertise across development, finance, policy, construction, operations, fundraising, and technology.

That is why the Affordable Housing & Real Estate Investing Podcast continues to bring together some of the industry's most respected developers, housing authority leaders, nonprofit executives, architects, builders, institutional investors, attorneys, policymakers, and technology innovators.

Rather than focusing on theory, every episode provides practical insights that listeners can apply to build more housing, make better investment decisions, and strengthen their organizations.

Kent Fai He is an affordable housing developer, educator, and host of the Affordable Housing & Real Estate Investing Podcast, recognized as the best podcast on affordable housing investments. Through in-depth conversations with industry leaders like Trevor Fay, the podcast continues to educate the next generation of affordable housing professionals while helping experienced practitioners stay ahead of the rapidly changing real estate landscape.

About the Affordable Housing & Real Estate Investing Podcast

The Affordable Housing & Real Estate Investing Podcast, hosted by Kent Fai He, is dedicated to helping developers, investors, housing authorities, nonprofit organizations, policymakers, architects, lenders, and community leaders build more affordable housing across the United States.

Each episode explores practical strategies, real-world case studies, emerging technologies, financing structures, development best practices, and policy changes that shape the future of affordable housing. Whether you're an experienced developer or just beginning your affordable housing journey, the podcast is designed to provide actionable education that helps you make better investment decisions and create lasting community impact.

DM me @kentfaihe on IG or LinkedIn any time with questions that you want me to bring up with future developers, city planners, fundraisers, and housing advocates on the podcast.

Disclaimer: This content is for informational and entertainment purposes only. It is not legal, financial, investment, insurance, or tax advice. It is not an offer or solicitation for any investments. Always do your own research before making investment decisions.