AI Office Tenant Creditworthiness
The Problem
“Faster, more accurate office tenant credit decisions”
Organizations face these key challenges:
1
Inconsistent, non-standard tenant financials (different accounting practices, unaudited statements, missing schedules) make apples-to-apples comparison difficult
2
Slow manual underwriting creates deal friction, increases vacancy downtime, and weakens negotiating leverage on deposits/guarantees
3
Limited ongoing monitoring means landlords often detect tenant distress too late to mitigate exposure (arrears, bankruptcy, sudden move-out)
Impact When Solved
60–80% faster credit decisions with standardized risk scoring and automated document extraction10–25% reduction in tenant default-related losses through better screening and risk-based lease structuring (deposits, guarantees, term length)Earlier detection of tenant distress (30–90 days sooner) via continuous monitoring, enabling proactive interventions and improved collections