100 AI Agents for CRE

surface on- and off-market deals that fit a stated buy box; score fit.

submarket demand, supply, rent and absorption trends with sources.

rank sites/submarkets against the user's investment criteria.

zoning designation, allowable use, density, setbacks, overlays.

the highest-and-best land-use read for a parcel.

population, income, employment, and growth for a trade area.

first-pass buy/kill screen of a deal against the box.

draft broker outreach and deal-request messages (a human sends).

identify off-market owners/deals (surfaces; a human contacts).

assemble a defensible comparable set with selection logic.

Turn investment criteria into a structured mandate with hard filters, preferences and missing decisions.

Match parcel, address and building records; flag conflicting identifiers.

Trace supplied LLC and entity records into an ownership evidence map.

Calculate supported acquisition dates and hold periods, with uncertain transfers flagged.

Extract debt maturity and extension dates into a verified watchlist.

Separate supported tax, vacancy and debt signals from speculation.

Track supplied planning applications and competing supply by status and date.

Map broker coverage, prior interactions and next actions from supplied CRM records.

Draft personalized outreach from supported property facts for human approval.

Normalize inbound opportunities and merge duplicate listings without losing provenance.

value via income, sales-comparison, and cost approaches.

pull sales comps and apply transparent adjustments.

market rent, loss-to-lease, and a rent-roll read.

the full pro forma: sources & uses, debt, 5-yr CF, exit, returns.

a flexible multi-scenario model with editable assumptions.

levered/unlevered cash flows plus IRR, MOIC, cash-on-cash.

the most profitable feasible use for a site.

a defensible submarket cap-rate bracket with the basis.

the in-place vs stabilized NOI bridge, line by line.

cash-on-cash return plus a DSCR safety check.

Reconcile rent-roll totals with leases and identify conflicting occupancy and rents.

Map operating statement line items to a consistent underwriting chart.

Compare expenses to supplied benchmarks with dates and comparability caveats.

Build lease-specific expense recovery calculations with caps and exclusions.

Size debt under DSCR, debt yield and LTV constraints using explicit lender assumptions.

Stress floating debt, rate caps and refinancing scenarios.

Sequence capital work, cost assumptions and timing in the cash-flow model.

Model supplied distribution tiers, promote and catch-up terms with reconciliations.

Find broken references, sign errors, double counts and inconsistent assumptions.

Calculate a purchase-price range under specified return and debt constraints.

Phase I style flags and contamination signals to chase.

an ESG screen and reporting checklist for the asset.

FEMA flood zone, BFE, and insurance implications.

the legal owner, liens, and encumbrances to clear.

a legal DD checklist with red flags surfaced.

abstract the key economic and legal terms of a lease.

compare leases across a rent roll on the terms that matter.

tenant mix, concentration, and rollover exposure.

a structured tenant credit read from what the user supplies.

review a data-room document set and surface the issues.

Map missing evidence to owners, requests and deadlines.

Reconcile abstracted rent, escalations and concessions against the underwriting.

Compare estoppels with leases and supplied tenant records.

Extract survey exceptions and route unresolved items to qualified reviewers.

Extract condition findings and immediate or reserve cost items.

Compare supplied policy schedules with lender and deal requirements; route coverage questions.

Model reassessment scenarios from documented rules and explicit assumptions.

Extract vendor costs, termination rights, renewals and assignment requirements.

Track issue evidence, severity, owner, resolution and decision impact.

Build a closing dependency checklist from supplied transaction documents.

development feasibility and residual land value.

a hard/soft cost estimate with a contingency line.

the permit path and an entitlement timeline.

an IC-ready investment memo.

a tight one-page executive summary of a deal.

an offering-memorandum draft from the deal facts.

a lender/debt package with the metrics a lender wants.

an IC deck outline plus likely-question prep.

pressure-test a valuation and flag where it breaks.

organize and index a deal data room.

Compare proposed LOI terms with the mandate and prior versions.

Normalize quotes including fees, covenants, reserves and extension terms.

Extract covenant definitions, reporting deadlines and cure provisions.

Organize supplied investor preferences and capital commitments without inventing interest.

Draft source-backed answers from approved deal materials for human review.

Prepare a capital-call draft and supporting reconciliation from authorized inputs.

Link entitlement, design, financing and construction milestones with critical dependencies.

Reconcile draw requests, budget lines and supporting documents.

Track change orders, contingency use and projected completion costs.

Package approved underwriting, obligations and unresolved issues for the operating team.

portfolio-level performance and exposure.

hold vs sell and the disposition timing read.

exit scenarios with the timing and the trigger for each.

sensitivity tables on the drivers that move returns.

base / upside / downside scenarios with the assumptions.

a risk register with likelihood, impact, and mitigations.

the rollover schedule and renewal risk.

an asset/portfolio KPI dashboard spec.

a market or quarterly report for LPs.

assemble a polished report from the other agents' outputs.

Explain actual-versus-budget revenue and expense variances from supplied ledgers.

Segment receivables and draft next actions under the supplied collection policy.

Track prospects, proposals, execution status and leasing assumptions.

Compare renewal, downtime and new-lease scenarios using explicit assumptions.

Prepare tenant-level recoveries and reconciliation support under lease terms.

Compare service delivery, costs and contract obligations against supplied records.

Track operating milestones, evidence, owners and forecast implications.

Assemble refinancing requirements, maturity dependencies and missing evidence.

Reconcile approved distributions with investor balances and model outputs.

Prepare sale readiness, buyer diligence tasks and process milestones for review.