AI Negotiation Support System
The Problem
“Negotiations run on stale comps and spreadsheets—value leaks out on every deal”
Organizations face these key challenges:
Comps, lease terms, and market signals are scattered across PDFs, emails, broker packages, and inconsistent spreadsheets
Deal teams can’t quickly quantify concession trade-offs (TI vs free rent vs term vs escalations) under different scenarios
Negotiation outcomes vary by negotiator/broker; playbooks and institutional knowledge aren’t captured or reused
Slow underwriting and approvals cause missed opportunities or weak counteroffers when the market moves fast
Impact When Solved
Real-World Use Cases
AI for Commercial Real Estate Decision-Making
Think of this as a super-analyst for commercial real estate that never sleeps: it reads huge amounts of market, property, and financial data and then suggests which buildings to buy, sell, lease, or invest in, and at what terms.
AI-Enhanced Property Management Decision Support
Imagine every building and lease you manage came with a super-analyst who never sleeps, reads every report, compares market data, and then suggests what rents to set, which repairs to prioritize, and which tenants might churn—before it happens. That’s what AI-augmented property management is aiming to do.