Agentic supplier change-control automation at a Fortune 100 enterprise
An AI agent that processes unstructured change notifications across 200+ suppliers and recovered several hundred staff hours a year.
- Client
- A Fortune 100 manufacturer (anonymized)
- Techniques
The problem - Supplier change-control intake at a Fortune 100 enterprise ran on manual effort: staff read unstructured notifications from 200+ suppliers, worked out what each change affected, and routed it by hand. Slow, error-prone, and risky in a regulated environment.
What we built - An AI agent that extracts and validates each change, classifies the affected materials, enriches the request with internal data, routes it to the right team, confirms receipt, and escalates exceptions for human review - keeping a person in the loop only where judgment is needed.
The outcome - Processes 2,500+ notifications a year, recovered several hundred staff hours annually, and improved routing accuracy - establishing a reusable pattern for high-volume correspondence workflows.