* Revenue figures are market-based estimates only and are not guarantees of income. Actual results will vary based on execution, market conditions, and individual effort. This is not financial or investment advice.
How the agent runs it
When a commercial broker or property owner submits a deal intake form, the CEO agent spins up a coordinated pipeline: the Research Agent pulls market comps and property data from CoStar, the Financial Agent models NOI/cap rate tables, the Copywriting Agent drafts narrative sections, and the Design Agent renders a polished 20–35 page PDF OM via Canva API. The Distribution Agent then sends the final document to the client's buyer list via email and tracks engagement. The entire cycle — intake to delivered OM — runs in under 6 hours with no human involvement.
Who this is for
Best suited for a founder with a background in commercial real estate brokerage, CRE finance, or proptech — someone who understands deal flow, broker incentives, and what makes an OM persuasive to institutional and private equity buyers. They don't need to be a developer but should be comfortable managing API integrations with a no-code/low-code contractor. This suits an operator who wants to run a lean, high-margin professional services firm without hiring junior analysts or designers.
Market opportunity
The U.S. commercial real estate transaction market processes over $500 billion in deals annually, and every single transaction requires an offering memorandum — yet most are still produced manually by analysts spending 15–30 hours per document. With CRE deal volume recovering post-rate-peak in 2025 and boutique brokerages under pressure to cut overhead, automated OM production addresses a concrete bottleneck. No dominant automated OM platform exists at scale; the space is fragmented between expensive enterprise tools and manual freelance work.
Boss agent: APEX (Autonomous Prospectus Execution Controller)
APEX receives each new deal intake, assigns tasks sequentially to specialist agents with defined SLAs, monitors for stalled steps or data gaps, escalates anomalies to the human owner's dashboard, and gates final delivery until a quality-check threshold is passed.
- ■ No OM is released to a client until the Financial Agent's cap rate output has been cross-verified against at least three CoStar comp sales within 12 months and 1-mile radius
- ■ Any rent roll or NOI figure that deviates more than 15% from the broker-supplied inputs triggers a hold and human-review flag rather than autonomous correction
- ■ All client communications, delivery emails, and revision requests are logged in HubSpot CRM with full agent decision traces before APEX marks a job closed
The agent team
Human touchpoints
// the only things that still need you
- 👤 Signing the CoStar API commercial license agreement and any broker data-sharing NDAs that require a legal wet signature
- 👤 Reviewing and approving the final OM before delivery when APEX flags a financial anomaly or when a deal exceeds $20M in listed price — a manual quality gate to limit E&O risk
- 👤 Handling a broker complaint or dispute about factual errors in a published OM that could involve legal or reputational consequences
- 👤 Authorizing Stripe payouts above a threshold amount and managing the business bank account for tax filings and quarterly estimated payments
Tech stack
Monetization
Per-OM flat fee of $750–$1,500 depending on asset class complexity (multifamily, retail, industrial), with a $2,500/mo subscription tier for brokerages needing 4+ OMs per month. Upsell: $350 add-on for investor teaser one-pagers and email blast distribution to the broker's buyer list.
Key risks
- → CoStar API access requires a commercial license (~$500–$2,000/mo) and CoStar may restrict automated bulk querying, forcing fallback to manual comp sourcing for some markets
- → CRE brokers are legally liable for figures in OMs; if the Financial Agent produces an error in cap rate or rent roll modeling that a broker publishes without review, it creates E&O exposure and potential client churn
Getting started
- 1 Interview ten active CRE brokers about OM painConduct 20-minute calls with boutique brokers on LoopNet or LinkedIn to validate that turnaround time, analyst cost, and design quality are the top friction points. Use this to finalize your pricing tiers and asset class focus (start with multifamily only).
- 2 Secure CoStar API access and map data fieldsApply for a CoStar commercial API license and document exactly which endpoints return comp sales, rent data, vacancy rates, and market summaries. This determines what your Research Agent can pull autonomously versus what requires a human data supplement.
- 3 Build the financial modeling agent and validate accuracyPrompt-engineer the Financial Agent to ingest a broker-supplied rent roll CSV and output a standardized NOI waterfall, cap rate, and 5-year cash flow table. Test against 10 real closed deals where the correct figures are known to measure error rate before going live.
- 4 Design two OM templates in Canva for API renderingCreate a multifamily template and a retail/industrial template in Canva with named text fields and image placeholders that the Design Agent can populate via Canva's API. Polished, brand-consistent templates are your primary visual differentiator from DIY broker output.
- 5 Launch with three pilot brokers at 50% discountOffer the full pipeline to three active brokers at $375–$750 per OM in exchange for honest feedback and a testimonial. Use their real deals to stress-test the full agent pipeline end-to-end and identify any agent handoff failures before opening to paying clients.
// done for you
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