2,000
unit portfolio used as the operating benchmark for PropTech workflow automation
Real estate and PropTech
Agentic AI for transaction coordination, market intelligence, and property operations.
LayeredAI builds production systems that connect fragmented real estate data, automate multi-step deal workflows, and give teams clearer operating signals from listing to closing to portfolio management.
-15%
vacancy-rate reduction from AI-assisted lease and maintenance workflows
-35%
maintenance response-time improvement from predictive coordination
+9%
portfolio yield uplift from cleaner signals and faster property operations
Capital markets fog
Interest-rate, inflation, and income-growth uncertainty are slowing commitments. Operators need scenario-ready analysis, not static market decks.
Granular asset selection
Real estate teams are moving from broad metro views to sub-market, block-level, and asset-specific signals across demand, demographics, and operating costs.
Operational pressure
Margin compression, fragmented transaction data, and rising client expectations make speed, compliance, and consistent follow-through a competitive advantage.
Flagship workflow
Relay TC turns deal coordination into an AI-operated workflow.
The research plan points to transaction coordination as the clearest wedge for agentic AI: every deal creates emails, signed contracts, deadlines, parties, attorney-review steps, disclosures, reminders, and broker visibility needs. Relay TC is LayeredAI's production system for that workflow.
Email and contract intake
Forward signed contracts and transaction emails into one workspace. AI extracts parties, dates, contingencies, purchase terms, and documents.
Checklist and timeline generation
Create transaction-specific tasks, local requirements, deadline dependencies, and closing timelines without manual setup.
Deadline monitoring
Track attorney review, inspection windows, overdue items, and closing risk with priority scoring and drafted follow-ups.
Pipeline visibility
Give coordinators, team leads, and brokerages a clear view of active deals, closing-soon transactions, flagged work, and workload allocation.
Agentic solution map
Where real estate teams can move from insight to action.
The strongest opportunities share the same pattern: fragmented data, time-sensitive decisions, compliance exposure, and repeated coordination across people and systems.
Listing and lead management
Ingest new listings, enrich them with comparable sales and neighborhood signals, match buyer profiles, and coordinate follow-ups or showings.
Valuation and pricing
Blend historical sales, rental data, demographics, and market indicators to support dynamic pricing, offer strategy, and investment screening.
Compliance and risk monitoring
Monitor fair-housing, zoning, lender, disclosure, and attorney-review requirements; flag risky transactions and draft review-ready artifacts.
Predictive maintenance
Use work orders, sensor data, occupancy patterns, and vendor histories to schedule preventive maintenance and reduce avoidable downtime.
Portfolio analytics
Aggregate transaction data, rental income, expenses, and market trends into investor reporting and asset-allocation recommendations.
Demand forecasting
Combine migration, climate, employment, affordability, and local supply signals to recommend where to acquire, hold, reposition, or divest.
Built for regulated, high-stakes operating environments.
Real estate AI cannot stop at chat. Production systems need data access, controls, review paths, and adoption plans that respect fair-housing, privacy, lender, brokerage, and local-market requirements.
MLS, CRM, email, transaction, public-record, lender, document, and property-management connectors.
Human review for pricing, tenant screening, loan-adjacent workflows, compliance decisions, and customer-facing communications.
Audit logs, permissioning, model evaluations, exception routing, and operating metrics before production rollout.
Change management for transaction coordinators, agents, brokers, asset managers, and portfolio operations teams.
Engagement model
From AI opportunity audit to production rollout.
LayeredAI embeds with real estate teams to map the workflow, connect the systems, launch the first production path, and keep improving the operating metrics after deployment.
01
Opportunity audit
02
Workflow architecture
03
Data and tool integration
04
Pilot deployment
05
Optimization retainer
Next step
Turn your highest-friction real estate workflow into a governed AI system.
Start with a focused audit of transaction coordination, listing operations, valuation, compliance, maintenance, or portfolio reporting.