Finance
Data & AI

Gruve Brings Policy-Driven Procurement to Life with Agentic AI

Case Study Glance Shape

At a glance

This initiative applied agentic AI to enforce guided, policy-driven procurement practices. By embedding compliance into purchasing workflows and enhancing supplier due diligence, the project reduced maverick spend, sped up purchasing, and ensured negotiated savings were realized.

Challenges

The procurement team had limited visibility into supplier risk and compliance. Off-contract spend frequently bypassed preferred vendors, approvals were slow, and duplicate vendors and catalog sprawl undermined cost savings. These gaps contributed to higher costs, inefficiencies, and policy non-compliance. 

Solutions

  • Policy-aware guided buying with preferred suppliers
  • Automated supplier risk checks and due diligence
  • Instant contract lookup and clause extraction
  • Automated 3-bid sourcing
  • Real-time alerts on out-of-policy spend
  • Catalog normalization to unify duplicates

Results and benefits

The organization saw on-contract spend rise by roughly 20%, while requisition-to-PO approval cycle times were reduced by half. Negotiated savings were realized in over 90% of cases due to minimized off-contract leakage, and supplier onboarding times were cut by more than 50%, shrinking weeks-long processes into days.