For commercial real estate brokerages
Assemble the OM faster. Track the long pipeline. Brief the broker before every call.
Commercial brokerages covering retail, office, industrial, and multifamily. Commercial deals have 12-36 month pipelines, document-heavy listings, and institutional clients, very different from residential and in need of different automation.
Serving North America jurisdiction-specific requirements confirmed during scoping
Commercial real estate operates on a completely different timeline and paperwork basis than residential. A commercial listing can involve a 50-page offering memorandum, detailed financial analysis, tenant rent rolls, lease abstracts, and market comparable research that together might take 40-80 hours to assemble. A deal pipeline runs 12-36 months. Brokers carry 20-60 active prospects simultaneously across multiple properties.
The operational pain points are different from residential. Document-heavy listing preparation (OMs, BOVs, financial models). Long pipeline tracking where opportunities can stall for months and then reactivate. Buyer/tenant qualification (creditworthiness, financial capacity, legitimate intent). Comparable research and market analysis. Back-office support for broker marketing activities.
AI-assisted workflows for commercial focus on OM and BOV first-draft assembly (pulling rent rolls, financials, market comps into a structured draft), pipeline tracking with stage-appropriate nurture automation, prospect qualification pre-briefing (so a broker walking into a meeting knows the prospect's financial position and recent market activity), and comparable research assistance. Deal negotiation and valuation judgment stay with the broker.
This page is not legal, regulatory, tax, or professional advice. Data handling and jurisdiction-specific requirements are documented in the engagement scope; no control or certification is implied. Read the scoped data-handling approach.
What we'd automate first
Where a carefully scoped workflow may earn its keep.
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01
60-70% OM prep time reduction
Offering memorandum assembly taking 40-80 hours per listing
OM drafts assembled from rent rolls, financial statements, market comps, and photos take weeks. First-draft assembly from structured inputs compresses this to a fraction.
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02
Long pipeline stalling without nurture
Commercial deals can stall for months. Automated stage-appropriate nurture keeps the relationship warm during idle periods.
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03
Prospect briefing before meetings
Brokers walking into a meeting with an institutional prospect need background, recent market activity, comparable deals, prospect's portfolio. Automated prospect briefing speeds prep.
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04
Comparable research and market analysis
Comp research from CoStar, Reonomy, and other sources is time-consuming. Automated data assembly for broker analysis speeds the work.
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05
BOV (broker's opinion of value) assembly
BOVs need comparable sales, market analysis, and valuation methodology. Structured first-draft BOV assembly with broker review and judgment compresses delivery.
Commercial brokerage, industrial focus: OM assembly and pipeline
A commercial brokerage with 8 brokers specializing in industrial properties averaged 55 hours per OM from listing agreement to marketing launch. We built a first-draft OM assembly workflow pulling rent rolls, financial data, and market comps into a structured template for broker review and judgment. OM assembly time dropped to about 18 hours of broker time per listing, and the brokerage listed about 40% more properties in the following year. Pipeline nurture automation helped convert several long-dormant relationships to active transactions.
Result: OM assembly 55 hrs → 18 hrs broker time; +40% listingsRough numbers first
Estimate the opportunity in your own numbers.
Directional scenario only. This calculator does not validate inputs, estimate implementation cost, provide a quote, or predict a result. Confirm assumptions against your own records.
Common questions
Questions to resolve before implementation.
Do you integrate with CoStar, Reonomy, Crexi, Buildout?
Yes, with APIs or structured data access where available.
Commercial has specific confidentiality requirements, handled?
Yes. Financial information in OMs is handled inside broker-controlled infrastructure; nothing routes through vendors without appropriate agreements.
Asset-class specialization (office, retail, industrial, multifamily)?
Workflows are configured per asset class. Each has different data sources, different valuation norms, different buyer pools.
Describe what is actually happening in this workflow.
Glen replies in writing with whether a Nano-Pilot fits or the honest answer is “not yet.”
Send a written intakeRelated industry paths
Selected related paths.
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