Case Study: Workspace Property Trust achieves 50% faster lease abstraction with Conga AI Analyze

Workspace Property Trust leverages Conga AI for 50% faster lease abstraction

Workspace Property Trust, a commercial property investor, faced a slow, error-prone lease-abstraction process that was central to its acquisition due diligence. The company relied on third-party agencies and spreadsheets to locate and summarize rent, rights, and timelines for 300–500 leases per acquisition, with each abstract taking months and costing up to $1,000—delaying invoicing and renewals and creating manual data errors.

Workspace deployed Conga AI Analyze, using sample abstracts to configure required fields and automatically generate completed abstracts stored in a secure, live, searchable database accessible to operations, finance, and legal. The automation cut abstraction time by 50%, reduced costs by 25% (saving up to $125,000 per acquisition), minimized errors, and accelerated lease cataloging and revenue creation.

Workspace Property Trust

Mike Gervasio

SVP