A decade of scattered contracts hid costly renewals. Now, staff use AI to instantly surface overlooked agreements and verify M&A diligence.
A global real estate franchise with 1,100 offices and 169,000 associates held ten years of vendor contracts scattered across multiple legacy repositories.
Expiring agreements and auto-renewals lacked a central calendar, making it impossible to track critical dates or identify redundant services. The...
International real estate franchise and brokerage services provider.
Cloud platform for enterprise human resources, finance, and business planning.
Related implementations across industries and use cases
Routine work relied on costly outside firms. AI templates now let procurement self-serve, cutting external legal spend by 70%.
Drafting relied on scattered emails and tribal knowledge. AI centralized data, cutting analysis from 3 weeks to 2.5 days.
Manual drafting delayed lease negotiations for weeks. The team now generates clauses in minutes, saving $100k+ on outside counsel.
Drafting relied on scattered emails and tribal knowledge. AI centralized data, cutting analysis from 3 weeks to 2.5 days.
Manually finding untagged partial shipment terms in 24,000 contracts risked revenue. Legal trained AI to isolate 600 agreements in days.
Complex storyboards took weeks to draft. Generative AI now produces concepts in 2 days, accelerating high-stakes infrastructure bids.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
Global complexity forced heavy reliance on outside counsel. Teams now run jurisdictional comparisons in-house, cutting external spend.
Manual entry bottlenecked service contracts. Now, AI extracts handwritten text and validates against SAP, routing deviations to humans.