Operator vertical
Lease Abstraction AI for Property Managers
Lease abstraction into Yardi or MRI, tenant-churn models, and acquisition DD extraction for 5k–50k unit operators, not listing-copy chatbots.
Built for: Head of Asset Management, VP Ops, or CIO at a 5k–50k unit PM / REIT ops team
What breaks before AI
- Lease abstracts still take hours per file
- Amendments get missed and renewals surprise you
- Acquisition DD is a binder scavenger hunt
- CAM and rent-roll recon becomes owner disputes
Document intelligence into Yardi or MRI—citations back to the PDF, analysts on exceptions only. Not listing-copy chatbots.
Workflow pages operators search
Each page owns a specific job-to-be-done query. Start with the bottleneck that hurts this quarter.
Lease abstraction
Search: lease abstraction AI
Extract commencement, rent, options, CAM, and repair clauses into Yardi or MRI—with citations your analysts can verify.
Tenant retention models
Search: tenant churn prediction property management
Score at-risk tenants before renewal so outreach happens while you still have leverage.
Acquisition DD extraction
Search: CRE acquisition document AI
OM packages, leases, and DD binders become structured terms in hours—not a week of associate time.
Rent-roll & CAM recon
Search: CAM reconciliation AI property management
Match charges to lease language and flag exceptions before they become owner disputes.
Business outcomes AI can move
- Cut hours per lease abstract from days to a reviewed draft
- Protect occupancy with earlier renewal outreach
- Close more acquisitions per analyst
- Reduce CAM recon and rent-roll cleanup cost
AI capabilities
Each capability maps to a business KPI, revenue, cost, risk, or cycle time, not model accuracy on a slide.
Revenue
Tenant retention models
Score at-risk tenants before renewal so outreach happens while you still have leverage.
Cost
Lease abstraction into Yardi / MRI
Extract commencement, rent, options, CAM, and repair clauses with citations back to the PDF. Analysts review exceptions, not every page.
Risk
Rent-roll and CAM recon agents
Match charges to lease language and flag exceptions before they become owner disputes.
Cycle time
Acquisition document intelligence
OM packages, leases, and DD binders become structured terms in hours, not a week of associate time.
Production use cases
- Lease abstraction into the property system of record
- Renewal and tenant-churn scoring
- Acquisition OM and DD binder extraction
- Rent-roll and CAM recon agents
How to engage
Start bounded. Scale only when the KPI moves.
Abstraction pilot
From $7,50010–25 leases abstracted into your schema with citation QA.
Scoped production mandate
From $15kPortfolio abstraction or churn scoring live in 6–10 weeks.
Embedded partnership
From $25k/moOngoing CRE document and retention AI.
Frequently asked questions
Does this replace our lease-abstraction vendor?
It can, or it can sit next to Yardi/MRI as an implementation layer. We sell production extraction in your stack, not another SaaS login.
How do you handle amendments and portfolios?
Amendments link to the master lease. Changed fields update with version history. That is the part most tools skip and where portfolios break.
How do you scope AI for our industry?
Week-one discovery locks business KPIs—revenue, cost, risk, or cycle time—not model vanity metrics. We map your data sources, compliance constraints, and existing stack, then propose a fixed-scope mandate with acceptance criteria or redirect you to a simpler path.
Do you have experience in our sector?
Proven depth sectors (financial services, federal, real estate, telecom, higher education) reflect production systems we've shipped. Growth and operator verticals (MGAs, credit unions, property management, 3PL, RCM, staffing, licensed iGaming, FFL) are selective mandates where those patterns transfer with industry-specific tuning. Biotech, insurance, and regulated work often runs under NDA.
What do we get at the end of an engagement?
Deployable code in your repos, monitoring and runbooks, documentation your team can operate, and knowledge-transfer sessions. The Production Standard is contracted in writing—no handoff to a junior bench after the sale.
What's the fastest way to start?
Book a discovery call or start with a bounded diagnostic: $2,500 Postgres audit, insurance claims-fraud diagnostic from $7,500, or the free MLOps readiness assessment. Each path surfaces whether AI is the right tool before a larger commitment.
The Production Standard
The Production Standard
Six commitments contracted in writing on every engagement.
01
Deploy or redirect
If AI isn't the right tool, we say so in week one and redirect budget to what will ship. No POC theater.
02
Metrics before models
Business KPIs locked in discovery. Model selection follows the metric, not the hype cycle.
03
Governance from day one
Model cards, access controls, evaluation harnesses, and audit trails, not a compliance bolt-on at go-live.
04
Production artifacts
Deployed code, monitoring dashboards, CI/CD pipelines, and incident runbooks. Not recommendations for someone else to implement.
05
6-week production target
Scoped projects designed for production in 6–10 weeks. Boutiques move; global programs wait for steering committees.
06
Capability transfer
Your team can operate, extend, and maintain what we build. IP and documentation transfer is included, not upsold.
Every scoped project includes a production deliverable checklist signed off before close. If we can't commit to deployable output, we won't take the engagement.
Selective intake · 2026
Your next system shouldship to production.
Agentic development from architecture through deployment, with the Production Standard contracted in writing.