RealEstateOS: Agentic AI for Commercial Real Estate

Lease Intelligence monitors every lease event across the entire portfolio in real time — expiry dates, break options, rent review triggers, service charge reconciliation deadlines, and planning condition discharge dates. A 200-property portfolio generates thousands of critical dates annually. Manual tracking misses events — and missed lease events cost money: a break option not served on time, a rent review not initiated, a service charge reconciliation not completed. AI Lease Intelligence sends alerts at 12-month, 6-month, 3-month, and 1-month horizons. All critical lease actions are reviewed by qualified asset managers or solicitors before execution.

Tenant Matching AI reduces average vacancy from 84 days to 31 days by identifying the optimal tenant profile for each asset and actively targeting comparable transactions. For each vacant unit, the system analyses: recent comparable lettings (tenant type, terms, incentives), market rental evidence, demand signals from enquiry data, and competing supply pipeline. Tenant quality scoring: AI scores each prospective tenant on financial covenant (credit rating, accounts, sector health), operational fit (space utilisation requirements vs asset specification), and lease longevity likelihood. All tenant selection decisions are made by asset managers — AI provides evidence, managers negotiate and agree terms.

Building Intelligence combines IoT sensor data with predictive analytics to optimise operating costs and asset condition. HVAC optimisation: occupancy patterns and weather forecasting drive intelligent scheduling of heating, cooling, and ventilation — reducing energy cost by 22% without impacting occupier comfort. Predictive maintenance: vibration, temperature, and runtime data from plant and equipment predicts failures 3–6 weeks ahead — scheduling repairs during out-of-hours windows, not emergency callouts. Service charge benchmarking: every service charge line is benchmarked against comparable buildings — identifying where costs are above market and where savings can be reinvested in asset quality. All maintenance decisions remain with building management.

ESG Intelligence tracks carbon intensity, energy consumption, water use, and waste generation across the portfolio continuously — not at annual audit. CRREM (Carbon Risk Real Estate Monitor) pathway compliance is monitored for each asset: assets trending above the pathway trigger a decarbonisation action plan. GRESB evidence generation: energy data, certification status, stakeholder engagement, and sustainability targets are maintained continuously and packaged for annual submission automatically. TCFD scenario analysis: physical and transition risks modelled for each asset under 1.5°C, 2°C, and 3°C scenarios. All ESG reporting uses RICS Whole Life Carbon Assessment methodology — auditor-grade accuracy.

Market Intelligence monitors rental growth, comparable transactions, competing supply pipeline, and planning applications across every submarket where portfolio assets are located. Rental growth signals are derived from actual transaction data — not asking rents — giving asset managers current market evidence for rent review negotiations. Competing supply pipeline: new development completions and office-to-residential conversions tracked 24 months ahead — giving asset managers lead time to improve asset positioning before competing supply reduces negotiating leverage. Planning applications within 500m of each asset are monitored for material changes — residential developments, hotels, and infrastructure projects that affect amenity and value.