Steal My AI Deal Team - 8 Agents That Replace a 12-Person Acquisitions + Asset Mgmt Desk
8 pre-built AI agents covering the full real estate deal lifecycle (source to exit). Universal install in ChatGPT, Claude, Cursor, Gemini, Claude Code, plus a bonus Hermes production guide. Each agent ships with the Excel, PDF, or Word artifact it produces, pre-filled with a real example deal (Cedar Park 120, 120-unit MF, Austin TX, $24M, 16.8% LP IRR).
Includes 8 Production-Ready AI Agents Plus Hermes Guide:
Deal Sourcer
Cut your inbox-to-mandate-fit triage from 90 minutes per OM to under 2 minutes. Your analyst stops drowning. Your partners only see the priority deals.
Underwriter
Stop spending three analyst days on each new deal. Get a tied-out base case in under 4 minutes, then iterate on assumptions with full sensitivity at your fingertips.
Market Researcher
Stop guessing on rent growth. Stop hand-waving on supply. Your underwriting rest on a market memo that holds up under LP questioning.
Capital Stack Architect
Make every deal pencil. Or kill it. No more 'maybe we can find a lender'. Know upfront whether your target IRR survives institutional debt.
Due Diligence Lead
Stop missing the issue that blows up the deal post-close. Run institutional-grade DD without an institutional-grade team.
LP Communicator
Quarterly reporting goes from a 3-week fire drill to a same-day partner review. LPs get consistent, professional voice across every fund and SPV.
Asset Manager
Catch the variance early. Don't surprise LPs at quarter-end. Run an institutional-grade asset management program with one human and this agent.
Dispo Broker
Most sponsors leave 5-15% of value on the table at exit. Not you. Run a tight, institutional-grade exit process, including knowing when to refi-and-hold instead of selling.
Every fund I look at runs the same broken play: one analyst drowning in OMs, one associate underwriting four deals a week, one VP scrambling on the LP letter. I rebuilt this org as 8 AI agents that run in any AI tool you already use. Today I'm giving the whole pack away.
Get Started NowQuestions real estate teams ask
What does a full AI deal team for real estate include?
A full AI deal team covers every stage of the deal lifecycle. This pack's 8 agents span: Deal Sourcer (100-point mandate-fit scoring with KILL/WATCH/PURSUE/PRIORITY verdict), Underwriter (10-sheet institutional model with IRR waterfall and sensitivity matrix), Market Researcher (1-page submarket memo with comps and 5-year thesis), Capital Stack Architect (debt-sizing against LTV and DSCR constraints, 20-named-lender matrix), Due Diligence Lead (200-item DD checklist with 1-5 red-flag scoring), LP Communicator, Asset Manager (quarterly board pack with NOI variance vs underwriting), and Dispo Broker (refi vs sale analysis and OM scaffold).
How does an AI underwriting agent build an institutional-grade model?
The Underwriter agent takes an OM, T-12, and rent roll and builds a 10-sheet workbook: Assumptions, Sources and Uses, Rent Roll, OpEx with industry benchmarks, NOI Schedule years 1 through 5, Debt Schedule, a 4-tier IRR Waterfall, Sensitivity Matrix (exit cap times rent growth equals LP IRR), and a Returns Summary — with the base case tied out in under 4 minutes.
Can an AI agent run institutional due diligence on a real estate deal?
The Due Diligence Lead agent runs a 200-item institutional DD checklist across 7 categories — Legal, Financial, Physical, Environmental, Operations, Tenant, and Lender — with a 1-to-5 red-flag score per item and auto-rollup of any item scoring 3 or higher, plus a killer-issue memo template for the Day-25 IC review.
Where AI changes the answer
Most real estate funds run every stage of the deal — sourcing, underwriting, capital stack, DD, asset management, exit — with one analyst per function, creating bottlenecks whenever one stage falls behind. An 8-agent deal team runs all stages in parallel: the analyst applies judgment to agent outputs rather than building each deliverable from scratch, compressing the timeline from weeks to days.