Most CRE firms do not know how their data is performing. They know the assets. They do not know whether the numbers coming out of their ERP, their property management system, and their third-party data feeds are consistent, auditable, or actually connected. When AI gets layered on top of that mess, it produces confident-sounding outputs nobody can verify. LD Salmanson, co-founder and CEO of Cherre, has spent seven years building the infrastructure layer that sits underneath the AI.

• The alternative is manual - and it breaks. Teams of consultants collect, distill, and rebuild data processes every few years. When staff leave, institutional knowledge leaves with them. The process erodes; you rebuild it.
• Compliance is non-negotiable. For clients reporting to public markets, "the LLM said so" is not a defensible audit trail. Every data point needs a traceable chain of custody from source to final figure.
• The engineering function is changing faster than hiring cycles. Cherre has moved to a model where engineers design and govern agents rather than write code. Salmanson expects manual coding to be largely redundant within six months.

Firms that have not solved the data layer first will find themselves unable to deploy AI in any operationally meaningful way. The gap between firms that have built this infrastructure and those that haven't will be visible - and measurable - within the next 12 to 18 months. *** At GowerCrowd, we are bringing the most advanced AI tools to our clients for both capital formation - and across other operational verticals too (like acquisitions). If you'd like to learn more about how we can assist you too, please reach out. Subscribe to my newsletter and get access to this transformational intel before anyone else: https://gowercrowd.com/subscribe Email: [email protected] Call: 213-761-1000

My podcast/YouTube show guest today, Cameron Steele has spent the last several years tackling a problem most commercial real estate firms don't realize they have. As the co-founder and CEO of Prophia, his focus is simple: turn the most important documents in CRE - leases - into usable intelligence. The issue is that much of the economic blueprint of commercial real estate still lives inside legal documents. And most firms are still extracting that information manually. In our latest conversation, Cameron walks through how AI is beginning to change that. In brief: • Lease documents remain the ultimate source of truth in CRE • Yet much of the data inside them is still trapped in unstructured text • Many firms still rely on manual lease abstraction processes • AI can now convert those documents into structured intelligence • That data can power portfolio analysis, risk management, and reporting Our conversation answers several questions CRE professionals regularly face: • What kinds of operational insights become possible once lease data is queryable? • What happens when lease terms are buried inside hundreds of legal documents? • Why is lease data still managed manually across much of the industry? • How can AI connect structured and unstructured data in real estate? • Why is change management the biggest barrier to adoption? Cameron captures the broader issue in one observation: "It's stunning that this industry, which is so large… is still manually compiling data like this." If you manage portfolios, analyze assets, or oversee leasing exposure, this conversation provides a useful look at how data infrastructure in CRE may evolve over the next decade - and how one shop, Prophia, is doing it today. Well worth the watch. *** At GowerCrowd, we are bringing the most advanced AI tools to our clients for both capital formation - and across other operational verticals too (like acquisitions). If you'd like to learn more about how we can assist you too, please reach out. Subscribe to my newsletter and get access to this transformational intel before anyone else: https://gowercrowd.com/subscribe Email: [email protected] Call: 213-761-1000

Most multifamily asset managers are still assembling reports. Colin Green built software to eliminate that step entirely. Colin is the founder of BubbleGum BI, a business intelligence platform designed specifically for multifamily asset managers. Before launching it, he built the tool for himself - nights and weekends - to solve the frustration of pulling rent rolls, cleaning spreadsheets, and waiting on Monday Morning Reports. The result is a real-time operating layer. In our conversation, Colin answers five important questions for serious CRE operators:

• How do you measure renovation spreads accurately at the unit level?
• Where does AI realistically fit into asset management workflows today?
• How should retention be monitored before it hits the income statement?
• Can you benchmark management companies across markets objectively?
• What happens when occupancy, renewals, and comp data refresh daily instead of weekly?

One of his more pointed observations: "It's not good using old data. I don't understand how we can make decisions for the future with data that's a week or a month old." The interesting part is that AI is not the headline. Clean data is. Colin's longer-term vision includes AI agents flagging risks, pricing mismatches, and renewal exposure daily. But he is clear that the foundation has to be structured, integrated data first. If you oversee multiple assets and still rely on static reporting packages, this episode is worth your time. It's what operational clarity looks like when reporting friction disappears. *** At GowerCrowd, we are bringing the most advanced AI tools to our clients for both capital formation - but across other operational verticals too (like acquisitions). If you'd like to learn more about how we can assist you too, please reach out. Subscribe to my newsletter and get access to this transformational intel before anyone else: https://gowercrowd.com/subscribe Email: [email protected] Call: 213-761-1000

The firms that win with AI in this cycle won't be the ones with the best models. They'll be the ones with the best data. My Demo Day podcast/YouTube guest today is Michael Mandel, co-founder and CEO of CompStak. Key takeaway: clean data is the moat - AI is the multiplier. CompStak spent 14 years crowdsourcing lease and sales comps from nearly 50,000 brokers and research professionals. That foundation is what makes their AI tools actually useful rather than just impressive. The practical applications worth knowing about: natural language search across 1.3 million lease comps, AI-powered rent estimations weighted by hundreds of comparable deals, and dynamic market narratives that replace what used to take an analyst team days to produce. For institutional players, the real value is portfolio benchmarking - seeing whether your rents, concessions, and lease positioning are above or below market. Not against your own assumptions, but against actual comp data. Coming in 2026: enterprise clients will be able to plug CompStak data directly into their own internal platforms, and a new prospecting tool for tenant rep brokers that surfaces opportunities based on upcoming lease expirations and tenant growth patterns. *** At GowerCrowd, we are bringing the most advanced AI tools to our clients for both capital formation - but across other operational verticals too (like acquisitions). If you'd like to learn more about how we can assist you too, please reach out. Subscribe to my newsletter and get access to this transformational intel before anyone else: https://gowercrowd.com/subscribe Email: [email protected] Call: 213-761-1000

Most pitch decks are failing because PDFs no longer match how investors actually consume information, especially on mobile. That is the problem Avi Solomon and his team at Pulse are solving with AI. In brief: • Interactive decks increase conversions • AI now makes advanced pitch decks economically viable • Investors increasingly expect interactive, mobile-native formats Pulse feels like a category shift because the decks behave like interactive web pages not documents where on-screen motion captures attention, information is layered so investors can skim or drill down without friction, and everything is explorable. The most compelling feature is interactivity around underwriting where investors can stress tests assumptions, using the sponsor's pro-forma (hidden behind the scenes), to see how returns change. That reframes underwriting from a static presentation into a shared analytical exercise. Financials follow the same logic. Sources and uses, pro formas, rent comps, and market data are presented at a high level first, then expanded line by line only if the investor chooses. The visuals support the story rather than overwhelm it where floor plans become 3D renderings, amenities are navigable, sponsor bios expand on demand and with video when available. Bottom line: Pulse reflects where capital formation is heading. Pitch decks are no longer just documents, they are interactive environments designed around how investors evaluate risk and make decisions. If you are still sending PDFs and hoping for engagement, this episode is worth watching. *** At GowerCrowd, we are bringing the most advanced AI tools to our clients for both capital formation - but across other operational verticals too (like acquisitions). If you'd like to learn more about how we can assist you too, please reach out. Subscribe to my newsletter and get access to this transformational intel before anyone else: https://gowercrowd.com/subscribe Email: [email protected] Call: 213-761-1000

Hotels are not underperforming because demand is weak, they are underperforming because the economics of the guest relationship are still being managed manually. That is the central takeaway from my recent Demo Day conversation with Luca Zambello, Founder, and Jason Lopez, VP of Revenue at Jurny. [Full disclosure: I am an early investor in Jurny] In brief: Hotels are leaving meaningful NOI on the table by treating guest experience as a cost center rather than an operating system. What stands out

• Personalization at scale is an operational advantage that directly impacts NOI.
• Ancillary revenues sold post-booking carry near-zero marginal cost and disproportionately expand NOI.
• AI changes the labor equation by shifting staff from admin and triage to actual hospitality.
• Centralized communications using AI work when guest intent, sentiment, and history live in one place.
• Jurny helps hotels systematically monetize guests beyond the room night.

When guest communication is fragmented across OTAs, email, SMS, WhatsApp, phone calls, and front desks, operators lose both service quality and revenue opportunity. Once communication is centralized, automation and AI start becoming leverage. The most compelling insight is financial. As Luca puts it, a 10 percent lift in guest-driven revenue does not translate into a 10 percent NOI improvement. Because fixed costs are already covered, it can mean 30 to 40 percent relative to current NOI. Why this matters beyond hospitality What this demo really highlights is how AI is beginning to fundamentally change commercial real estate operations across asset classes. CRE is moving away from linear models where growth requires more people, more friction, and more overhead and platforms like Jurny point to a future where intelligence, not headcount, becomes the primary scaling mechanism. That shift is already underway - and it is happening faster than most operators think. Tune in to learn more – you don't need to a hotelier to appreciate the power of AI on CRE. *** At GowerCrowd, we are bringing the most advanced AI tools to our clients for both capital formation - but across other operational verticals too (like acquisitions). If you'd like to learn more about how we can assist you too, please reach out. Subscribe to my newsletter and get access to this transformational intel before anyone else: https://gowercrowd.com/subscribe Email: [email protected] Call: 213-761-1000

Want to screen (waay) more deal flow for your acquisition pipeline than you do currently? Here is exactly how to do that with AI (and I'm NOT talking about some clever new way to use ChatGPT). 𝘐𝘯 𝘣𝘳𝘪𝘦𝘧: 𝘛𝘩𝘦 𝘢𝘣𝘪𝘭𝘪𝘵𝘺 𝘵𝘰 𝘶𝘯𝘥𝘦𝘳𝘸𝘳𝘪𝘵𝘦 𝘮𝘰𝘳𝘦 𝘥𝘦𝘢𝘭𝘴 𝘢𝘤𝘤𝘶𝘳𝘢𝘵𝘦𝘭𝘺 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 𝘣𝘳𝘦𝘢𝘬𝘪𝘯𝘨 𝘺𝘰𝘶𝘳 𝘦𝘹𝘪𝘴𝘵𝘪𝘯𝘨 𝘱𝘳𝘰𝘤𝘦𝘴𝘴 𝘪𝘴 𝘢 𝘣𝘰𝘵𝘵𝘭𝘦𝘯𝘦𝘤𝘬 𝘧𝘰𝘳 𝘢𝘤𝘲𝘶𝘪𝘴𝘪𝘵𝘪𝘰𝘯𝘴 𝘵𝘦𝘢𝘮𝘴. 𝘛𝘳𝘺𝘊𝘢𝘤𝘵𝘶𝘴, 𝘮𝘺 𝘭𝘢𝘵𝘦𝘴𝘵 𝘈𝘐 𝘱𝘰𝘥𝘤𝘢𝘴𝘵/𝘠𝘰𝘶𝘛𝘶𝘣𝘦 𝘴𝘩𝘰𝘸 𝘥𝘦𝘮𝘰, 𝘤𝘩𝘢𝘯𝘨𝘦𝘴 𝘵𝘩𝘢𝘵 𝘢𝘭𝘭𝘰𝘸𝘪𝘯𝘨 𝘺𝘰𝘶 𝘵𝘰 𝘴𝘤𝘳𝘦𝘦𝘯 𝘧𝘢𝘳 𝘮𝘰𝘳𝘦 𝘥𝘦𝘢𝘭𝘴 𝘪𝘯 𝘭𝘦𝘴𝘴 𝘵𝘪𝘮𝘦 𝘴𝘰 𝘺𝘰𝘶 𝘤𝘢𝘯 𝘧𝘪𝘯𝘥 𝘵𝘩𝘦 𝘸𝘪𝘯𝘯𝘦𝘳𝘴 𝘧𝘢𝘴𝘵𝘦𝘳 𝘵𝘩𝘢𝘯 𝘵𝘩𝘦 𝘤𝘰𝘮𝘱𝘦𝘵𝘪𝘵𝘪𝘰𝘯. Tyler Sellars, co-founder and CEO of Cactus, and I recorded a demo of his platform and you'll find that, while it uses AI to deliver robust, fast, easy to use underwriting output, it doesn't feel like AI at all - which is why you'll also realize it's a minimum standard if you want to compete effectively. Here's why it matters if you're sourcing deals: -> Existing acquisitions teams can screen more opportunities in greater detail, faster. -> Cactus ingests entire data rooms at once and auto populates your existing underwriting proforma. -> Audits inconsistencies across data room docs automatically -> Analysts spend less time on data-entry and more time deciding what's worth pursuing. One feature I like particularly is that after automatically inputting data to your spreadsheet from whatever resources a seller/broker provides, you can actually click on an input and on the same screen see from exactly where that number came. This means you can verify every extracted number by tracing it instantly to its source document, meaning fewer errors and more confidence in IC presentations. I also like that Cactus also provides real market comps and rent data directly relevant to the target asset that are pulled directly into the underwriting workflow using sources you already probably use - eliminating the need for you to be opening multiple apps just to build your model. And the killer app from Cactus - you can keep using your existing Excel model. Though the platform offers its own screening analytics, you can also just upload your own excel model and have Cactus populate it (almost) instantly with entire data room info leaving your formulas, assumptions, and IP intact. This is one of those tools every sponsor's acquisitions team should be leveraging as they trawl hundreds of deals just to find the one winner. *** At GowerCrowd, we are bringing the most advanced AI tools to our clients for both capital formation - but across other operational verticals too (like acquisitions). If you'd like to learn more about how we can assist you too, please reach out. Subscribe to my newsletter and get access to this transformational intel before anyone else: https://gowercrowd.com/subscribe Email: [email protected] Call: 213-761-1000

AI in commercial real estate is usually framed around predictions and pricing. In brief:

• Underwriting delays come from manual data extraction, not Excel.
• Institutional CRE teams automate the data layer, not the model.
• Parsing rent rolls and T12s is now a scale problem, not a staffing one.
• AI underwriting is being adopted first by lenders and servicers.
• Speed and consistency are emerging as underwriting risk controls.

This Demo Day conversation with Parag Goswami, CEO of Clik.ai, focuses on something more fundamental: how underwriting actually gets done. The core insight is simple. The bottleneck in CRE underwriting is not Excel. It is the manual, error-prone work of pulling data out of PDFs and forcing it into models. Clik.ai does not replace spreadsheets. It automates everything before the spreadsheet matters by automating the tedious data input to your Excel model and automating it. That is why its earliest adopters are institutional lenders, servicers, credit teams, and acquisitions pros. Add to this automated Trepp comparable data and you have a high-value, early underwriting model to screen deals using your own Excel model. Bottom line Clik.ai eliminates friction in the earliest stage of deal evaluation by automating the grunt work of data inputting giving you faster underwriting and a significant competitive edge. *** At GowerCrowd, we are aggressively researching AI tools you can actually use and that bring real, immediate value to your business. Contact us to learn more. Subscribe to my newsletter and get access to this transformational intel before anyone else: https://gowercrowd.com/subscribe Email: [email protected] Call: 213-761-1000

Most CRE teams are not losing deals because of capital, talent, or market access. They are losing because they move too slowly because initial underwriting and deal marketing are still painfully manual across much of the industry. Spreadsheets. Templates. Design tools. Email chains. Outsourced vendors. All stitched together by habit. That friction costs time, and time costs deals. In my latest AI/CRE Demo Day show Anton Zajac, CEO of IntellCRE, demonstrates (onscreen) what happens when those bottlenecks disappear. What stood out immediately:

• BOVs and OMs that once took 20+ hours can be produced in minutes
• Initial underwriting and marketing stop being separate workflows
• Small teams gain enterprise-level output capacity
• Deal marketing becomes proactive, not reactive

IntellCRE automates the unglamorous middle of CRE work: data aggregation, comps, market context, financials, and presentation. The result is not just speed. It's a pure, AI driven competitive advantage. Some questions the platform answers clearly:

• What if initial deal screening was no longer the bottleneck?
• What if marketing output scaled without adding staff?
• What if BOVs became a prospecting weapon instead of a sunk cost?
• What changes when responsiveness becomes your edge?

If you work in brokerage, acquisitions, or high-volume CRE investing and speed matters to you, this is worth seeing. Not a concept. Not a slide deck. A genuine AI platform specifically designed for CRE pros. Trust me (I'm a doctor) this is worth a look. *** At GowerCrowd, we are aggressively researching AI tools you can actually use and that bring real, immediate value to your business. Subscribe to my newsletter and get access to this transformational intel before anyone else: https://gowercrowd.com/subscribe Email: [email protected] Call: 213-761-1000

Introducing the Demo Day YouTube/Podcast Demo Day is a new series focused on one simple idea: showing, not telling, where AI is actually revolutionizing commercial real estate. No theory. No slide decks. Not a clever ChatGPT prompt. Just live, on-screen demonstrations of AI tools you can use today to get a significant edge against your competitors. If you think ChatGPT is all AI has to offer, this episode will reset your mental model fast. In this Demo Day, I reveal the extraordinary AI platform, TestFit, a platform that applies AI directly to land underwriting and early development decisions by building super-detailed feasibility studies for you in minutes. Best seen on YouTube, watch this episode to see how AI does what traditionally took weeks, consultants, and real pursuit capital:

• Instantly show what can be built on a site
• Kill weak deals early and surface better ones faster
• Update layouts and early-stage economics live on screen
• Run thousands of zoning and density scenarios in real time

This is the real deal. Beneath all the hype about AI, and the usual 'here's (yet) another great prompt' incremental benefits, there truly are companies revolutionizing the industry. Testfit is one of them. If you want to get REAL benefit from AI and give your company a real, immediately tangible competitive advantage in the new AI era – start here. *** At GowerCrowd, we are aggressively researching AI tools you can actually use and that bring real, immediate value to your business. Subscribe to my newsletter and get access to this transformational intel before anyone else: https://gowercrowd.com/subscribe Email: [email protected] Call: 213-761-1000