Use cases

Operational AI for the built world.

Agentic workflows for the decisions that move projects, sites, parcels, contracts, capital, and portfolios. Connected to your tools. Governed by your rules. Written back to your ledger.

Industries

Built for your sector. Tuned to your process.

We don't sell a platform and ask you to adapt. We map your operations and build AI around them, one workflow at a time.

development

Real Estate Development

From entitlement through handover, intelligence woven into how your project teams already coordinate approvals, budgets, and contractors.

Example workflows

01Entitlement & approval tracking
02Budget vs. actuals across WBS
03Contractor bid leveling & RFP drafting
04Investor & lender reporting

Use cases

Agentic workflows for decisions that move real assets.

Each use case connects models to a governed operational layer: projects, parcels, budgets, schedules, contracts, evidence, approvals, and people. The result is not a generic assistant. It is a workflow-specific agent with context, permissions, source traceability, and a defined path back into your systems.

01Development

Meeting command center

Operational problem

Critical decisions happen in OAC meetings, lender calls, consultant calls, and owner updates, then fragment across notes, emails, and memory.

Agentic system

Meeting agents transcribe, summarize, detect decisions, assign action owners, flag schedule and budget implications, and write the record back to the project ledger.

Decision supported

What changed, who owns it, when it is due, and what project assumption it touches.

Contextual minutes

Action owner routing

Decision ledger

Schedule and budget impact detection

02Construction

Visual progress intelligence

Operational problem

The field and office rarely share the same view of work in place, open constraints, and what changed since the last look-ahead.

Agentic system

Vision agents review camera, drone, and photo capture against scopes, drawings, and look-aheads, then generate daily progress intelligence for the team.

Decision supported

Which scopes moved, which did not, where evidence exists, and what should be escalated.

Camera and drone review

Scope-level progress notes

Variance detection

Evidence-linked reporting

03Brokerage

Parcel intelligence network

Operational problem

Market opportunity is hidden across zoning maps, ownership records, tax data, comps, sale history, aerials, and local knowledge.

Agentic system

Market agents maintain a parcel-level intelligence map, estimate build potential, surface owner context, and rank sites against your product thesis.

Decision supported

Which parcels deserve attention now, why they fit, and what the first owner conversation should be.

Parcel tracking

Zoning and ownership context

Massing estimates

Ranked opportunity lists

04Appraisal

Valuation evidence engine

Operational problem

Appraisers spend hours pulling comparables, building adjustment grids, verifying property facts, and drafting narrative, repeating the same manual work on every assignment.

Agentic system

Valuation agents assemble candidate comparables, draft adjustment grids with documented rationale, organize the approaches to value, and generate narrative sections grounded in source data and your report templates.

Decision supported

Which comparables support the opinion of value, how each adjustment is justified, and where the report still needs appraiser review.

Comparable selection and ranking

Adjustment grid drafts with rationale

Approach reconciliation support

USPAP-aware narrative drafts

Workflow catalog

Real Estate Development

Agentic systems for the work between site control, entitlement, capitalization, construction, and delivery.

Entitlement tracker

Agent: Reads hearing calendars, municipal portals, consultant updates, and approval letters.

Designed outcome: Designed to prevent missed deadlines and show the next approval path.

Budget variance analyst

Agent: Compares budget, commitments, invoices, change orders, and forecast assumptions.

Designed outcome: Designed to surface budget movement before the monthly reporting cycle.

Schedule risk agent

Agent: Monitors look-aheads, meeting notes, RFIs, procurement dates, and critical path assumptions.

Designed outcome: Designed to flag activities that threaten delivery dates.

Capital partner reporting

Agent: Drafts lender and investor updates from project controls, site evidence, and financial records.

Designed outcome: Designed to reduce manual reporting work and keep updates consistent.

Consultant coordination

Agent: Tracks open items across architect, civil, zoning, legal, traffic, and environmental teams.

Designed outcome: Designed to keep consultant dependencies visible and assigned.

General Construction

AI workflows for field capture, project controls, document control, cost control, and trade coordination.

RFI and submittal control

Agent: Reads Procore, email, specs, drawings, and meeting notes to identify stuck items.

Designed outcome: Designed to close loops before document delays hit the field.

Bid leveling copilot

Agent: Extracts scope, alternates, exclusions, qualifications, and unit costs from subcontractor bids.

Designed outcome: Designed to make bid comparisons faster and more consistent.

Change order triage

Agent: Links field events, RFIs, drawings, photos, and cost impacts into a claim-ready packet.

Designed outcome: Designed to clarify what changed, why, and who needs to approve it.

Pay app reconciliation

Agent: Compares pay apps against contracts, stored materials, lien waivers, and progress evidence.

Designed outcome: Designed to catch mismatches before payment approval.

Safety observation assistant

Agent: Reviews photos, reports, and inspection notes for repeat conditions and missing follow-up.

Designed outcome: Designed to route safety issues to responsible teams with evidence attached.

Real Estate Brokerage

AI agents for sourcing, research, outreach, transaction management, and market intelligence.

Owner outreach agent

Agent: Combines parcel data, ownership history, sale signals, and product fit into targeted outreach.

Designed outcome: Designed to give brokers a sharper reason to call.

Comp set builder

Agent: Pulls sales, listings, rent comps, construction comps, and location context into a defensible set.

Designed outcome: Designed to reduce time spent building market support.

Listing packet generator

Agent: Drafts teasers, broker opinions, property summaries, and buyer lists from source materials.

Designed outcome: Designed to turn raw deal files into market-ready materials.

CRM enrichment

Agent: Reads email, calls, notes, documents, and public data to keep contacts and deal status current.

Designed outcome: Designed to reduce dead records and missed follow-up.

Pipeline prioritization

Agent: Ranks prospects by timing, owner profile, product fit, market movement, and relationship history.

Designed outcome: Designed to focus the team on deals worth immediate attention.

Private Equity Real Estate

Controlled AI systems for acquisitions, diligence, asset management, portfolio operations, and reporting.

Diligence room analyst

Agent: Extracts risks from leases, debt docs, environmental reports, surveys, service contracts, and capex files.

Designed outcome: Designed to accelerate first-pass diligence without losing source traceability.

Underwriting model assistant

Agent: Reads assumptions, rent rolls, comps, lease terms, debt terms, and sensitivity cases.

Designed outcome: Designed to identify assumption gaps and draft investment committee support.

Portfolio operating cockpit

Agent: Unifies asset KPIs, leasing activity, capex, debt, valuation, and operating plans.

Designed outcome: Designed to show where management attention is needed first.

Covenant monitor

Agent: Checks loan terms, reporting requirements, DSCR, reserves, maturities, and notice dates.

Designed outcome: Designed to reduce covenant and reporting surprises.

LP reporting engine

Agent: Drafts investor narratives from asset updates, financials, capital events, and valuation changes.

Designed outcome: Designed to make reporting faster while keeping numbers tied to source records.

Real Estate Appraisal

Agentic systems for valuation research, comparable analysis, report drafting, and quality control, with the appraiser in control of every professional judgment.

Comparable analysis agent

Agent: Searches MLS, public records, and prior files for candidate comps, then ranks them by similarity, recency, and proximity.

Designed outcome: Designed to surface defensible comparables faster while leaving final selection to the appraiser.

Adjustment grid drafter

Agent: Proposes line-item adjustments for size, condition, location, and amenities with documented rationale.

Designed outcome: Designed to speed grid preparation while keeping every adjustment justifiable.

Property data extractor

Agent: Pulls subject and comp facts from public records, MLS, prior reports, and inspection notes into structured fields.

Designed outcome: Designed to cut manual data entry and reduce transcription errors.

Market and trend analyst

Agent: Compiles submarket supply, absorption, days on market, and price trends for the relevant property type.

Designed outcome: Designed to support the market conditions section with current data.

USPAP review agent

Agent: Checks reports for internal consistency, math, missing exhibits, and common compliance gaps.

Designed outcome: Designed to flag issues for appraiser review before delivery.

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