Streamlining Workflows in Real Estate and Media

Copilot Cowork is the most useful Copilot feature. I used it for a portfolio (20 assets) re-underwriting - used to take weeks of analyst time! That’s not hype - Cowork did it well enough that I think every investment team should pay attention. The workflow was very simple: 1) I uploaded 20 DCF spreadsheets for 20 buildings representing assets supposedly bought in 2024 (not a real portfolio). 2) I asked Cowork to update the models to the current date and project returns and cash flows for the next 10 years. I instructed Copilot to assume tenants had extended at prevailing market rents and to extract any required data from market reports. 3) Once the spreadsheets were updated, I asked to summarise the portfolio and its key characteristics. 4) Then I asked for a report suitable for an investment committee. 5) Finally, we iterated until the output had good-looking charts and graphs. The whole process took about 15min. The report it produced and a sample DCF I used as input are in the comments below. What makes it more interesting is that this was not just spreadsheet automation. The agent pulled market evidence from reports, applied it, updated the models, summarised the results and turned them into a presentation-style output. The key point is this: Copilot is beginning to handle long, mechanical, multi-step workflows of the kind that sit right at the centre of real estate analysis. Importantly, the human still stays in control (and needs to audit) but the time saving is considerable. You can inspect the assumptions, review the outputs, question the process and decide what is good enough to use. That is exactly how this technology should be used. Not “replace the analyst”. More like: let AI do the heavy lifting, and let the human do the judging. For real estate, that is a big shift. #AI #RealEstate #DCF #PortfolioManagement #InvestmentCommittee #PropTech #AssetManagement #Automation

Want more listings or deals? Recently, I've been watching the documentary "How It's Made," and it got me thinking... we need to start thinking like a factory, not freelancers. Take light bulbs, for example. In 1926, the ribbon machine automated light bulb production. Before that, workers made bulbs by hand. Each one could produce about a dozen per hour, and output varied wildly between workers. The ribbon machine changed everything, cranking out over 1,200 bulbs per minute, with consistency. It wasn’t about working harder. It was about building a better system. Most brokers still run their business like they’re Thomas Edison hand-making light bulbs. Manual processes. Inconsistent follow-up. No real structure. Even the most talented person is still capped on production without a system behind them. Here’s how to fix it: 1. Know your inputs and outputs Deals don’t appear out of thin air. Calls, meetings, leads, proposals, listings, tours... all raw materials. What goes in should drive what comes out. Track both. 2. Standardize what repeats If you're rewriting the same emails or listing descriptions every time, you’re burning time. Create templates once, reuse often. 3. Batch your work Jumping between tasks slows you down. Set blocks of time for research, prospecting, follow-ups, and proposals. One task at a time, done right. 4. Find your bottlenecks Where does your pipeline stall? Fix it. Don’t just power through. Systemize or delegate. A few hours of deep work can save you weeks. 5. Track your process like a production line Factories know their cycle times and yields. You should know your days on market, close ratios, follow-up response rates. Data drives better decisions. You don’t need more hustle. You need more structure. Engineer a better process. Future you will thank you. What’s one part of your workflow you could streamline this week?

This AI project delivered ~80% ROI by automating document prep. Every so often, you see a case where AI doesn’t just “help” — it transforms a business. This is one of those stories. The Challenge DocPrep911 specializes in real estate and title document preparation, generating title commitments, deeds of trust, liens, and other related documents. Historically, their team struggled with manual extraction, which involved pulling buyer/seller names, legal descriptions, addresses, and other details from emails and documents, then pasting them into templates. As monthly requests climbed 50%, cracks began to appear: human error risks, slow back-and-forth emails, inefficient management of Outlook, SharePoint, and Zoho, and serious scalability limitations. They needed a way to automate the full document pipeline while preserving accuracy and accountability. The Solution: Krista Doc Prep 911 deployed Krista to automate and orchestrate everything: 1. Centralized Intake & Triage - Krista ingests requests via email (Outlook 365) and Zoho, triaging each order and marking whether it’s fully auto-processable or needs human review. 2. Smart Extraction + Email “Scrubbing” - Using document understanding, Krista extracts critical fields (property addresses, dates, legal text). If key data points are missing or ambiguous, it flags those for review. 3. Template-Based Generation & Upload - Once the fields are confirmed, Krista automatically populates standardized Word templates, uploads them into Zoho, and maintains a full audit trail. 4. Human-in-the-Loop When Needed - The system routes only questionable cases to staff for review, dramatically reducing email back-and-forth and human effort. Results That Reshaped the Business > Up to 95% less labor for certain document processes > 80% reduction in overall costs > 80% faster turnaround times > Enabled 50% price cuts — giving Doc Prep 911 a powerful competitive edge > Staff redeployed to high-value roles, sales, growth, product innovation In short: a single AI+workflow initiative brought an 80% ROI and fundamentally shifted how the company competes. Why This Matters It’s not just about “AI tools.” It’s about orchestration, end-to-end automation, and intelligent routing. Even high-risk, legally sensitive workflows can be automated if you add the right human guardrails. ROI can be more than cost containment; it can fuel new pricing strategies, reinvestment, and growth. If you’re exploring AI for document automation or industry-specific workflows, this is a case worth studying and replicating. Would you like help crafting a similar roadmap (or validating whether ROI like this is possible in your domain)? Let’s chat.

📊 Struggling with project delays, fragmented data, and manual reviews? Imagine a world where real estate project management isn’t hindered by siloed teams and disconnected workflows, but propelled by intelligence and integration. In today’s high-stakes real estate and infrastructure sector, the proliferation of point solutions and a patchwork of spreadsheets has created a digital labyrinth, slowing down coordination and eroding margins. Teams are forced to juggle disconnected systems for design, cost, procurement, and reporting—where data is trapped in silos and critical decisions are delayed by manual reviews and version control chaos. What if we leveraged AI to unite these disparate tools into one consolidated delivery platform? AI-powered project management can automate repetitive tasks, instantly review and flag anomalies in design documents, perform commercial benchmarks against global best practices, and generate adaptive workflows tailored to project realities. As McKinsey notes in their 2024 study, “Reimagining Construction Productivity with AI,” the potential for AI-driven platforms to transform productivity is immense, suggesting efficiency gains of up to 20%—including faster design reviews and more accurate forecasting. Deloitte’s 2023 publication, “AI and the Built Environment,” identifies process automation and predictive analytics as major levers for reducing errors and accelerating decision-making in construction and real estate. And as PwC highlights in their 2024 report, “The Future of Real Estate Technology,” integrating automation with human expertise leads to cost optimization, data-driven design, and more adaptive governance across complex portfolios. Real transformation happens when data isn’t just connected—it’s harmonized by intelligent engines that automate reviews, uncover trends, and create actionable insights. The result: streamlined approvals, better resource allocation, and projects that truly deliver on cost, quality, and speed. 🏗️ 🤖 The future of real estate isn’t about managing myriad workflows—it's about orchestrating intelligence. Industry leaders must invest in platforms that harness, not hinder, decision-making. Let’s shape the next era together: where every project is powered by insight, not just oversight. #ArtificialIntelligence #PropTech #RealEstateInnovation #ProjectManagement #ConstructionTechnology #DigitalTransformation #SmartInfrastructure #FutureOfWork

🚀 AI is officially becoming the biggest competitive advantage in Commercial Real Estate. Over the past few months, Will Bockoven and I have been testing different AI tools across brokerage, underwriting, marketing, and operations, and the impact has been unbelievable. These tools aren’t “nice to have” anymore… they’re the new baseline. Here are the top AI tools that are actually transforming our CRE workflow right now: 🔹 ChatGPT My all-around CRE assistant. Drafts LOIs, proposals, market narratives, underwriting explanations, and client emails in minutes. Huge time-saver. 🔹 NotebookLM This one is ridiculously powerful. Upload an OM, lease, financials, or internal docs, and it generates summaries, insights, cross-market comparisons, and now even podcast + video explanations of the materials. This is perfect for onboarding new staff and turning complex documents into fast, digestible tutorials. 🔹 Gamma.ai If you need pitch decks, investor summaries, or clean presentations, Gamma handles it instantly. Great for raising capital or recapping deals. 🔹 Lindy ai Think of Lindy as your operational AI teammate. It auto-schedules follow-ups, manages workflows, and now generates compelling reports that look like they came from a research team. Fantastic for keeping clients and partners updated. 🔹 Genspark.ai One of our personal favorites. It turns raw data into beautiful market visuals, submarket comparisons, and polished graphics instantly. Perfect for OMs, LinkedIn posts, and investor updates. 🔹 Manus.ai Honestly, this tool keeps surprising us. Yes, it can turn rough notes into clean, professional writing… but it can also build full websites, deal rooms, and project hubs that look and function incredibly well. The efficiency is next-level. ✅ Why this matters for CRE These tools help us: ✔ Save hours every week ✔ Produce better materials faster ✔ Improve client communication ✔ Speed up underwriting & analysis ✔ Train staff more effectively ✔ Stay ahead in a very competitive market And most of them cost $20/month or less. The ROI is enormous. What AI tools are you using in your business? 💭 I'd love to hear your feedback in the comments! 👇 Summit Commercial Group

Two weeks ago, I worked with a real estate client who couldn’t understand why bookings were slowing down. Sales was performing. Marketing was steady. Demand was healthy. But something felt off. So we opened their Salesforce and traced the deal journey end-to-end. What we found had nothing to do with leads or sales skills. It was the handoffs: 1)Sales → CRM Team Documents were shared on WhatsApp. Nothing captured in the system. Everyone working from a different version. 2)CRM Team → Finance Payment updates took 24 hours to reflect. Buyers waited for confirmations. Momentum died quietly. 3)Finance → Customer Team Approvals sat in inboxes. Issues weren’t escalated. Simple items took days. Nobody was doing anything “wrong.” They were just working in silos. And silos kill real estate deals faster than competition does. We rebuilt the entire flow inside Salesforce: ✔️ Automated document sharing ✔️ Real-time payment updates ✔️ Instant approval workflows ✔️ A single timeline for every buyer Suddenly, nothing fell through the cracks. Everyone moved together. And bookings picked up — without changing marketing, budgets, or team size. Because the biggest revenue leaks don’t happen at the start. They happen between teams. At Vedsphere, that’s what we fix — not just the pipeline, but the spaces between the pipeline.