Vendor Management Agent AI Use case

This use case demonstrates an Agentic Vendor Change Management solution built using Automation Anywhere, designed to autonomously process vendor master data change requests while enforcing enterprise-grade governance and control. Vendor change requests are submitted through a Google Form in unstructured, free-text format, mimicking real-world scenarios where vendors do not follow a fixed template. The AI Agent retrieves these requests and uses AI Skills to interpret intent, extract relevant information, and classify each request based on risk severity as Low, Medium, or High. Low-risk requests, such as changes to contact details or office address, are processed autonomously end-to-end. Medium- and high-risk requests, including bank detail changes or financial information updates, are automatically routed for Human-in-the-Loop (HITL) approval, ensuring compliance and preventing unauthorized updates. Once approved, the agent dynamically generates a precise JSON payload containing only the approved fields and applies the update using secure REST API calls to the vendor system. Rejected requests are skipped, ensuring that no unauthorized changes are executed. Throughout the process, the agent makes contextual decisions, selects appropriate tools, and maintains a complete audit trail capturing request details, severity classification, approval status, and update outcomes. This ensures transparency, traceability, and audit readiness. The solution highlights how agentic automation can safely balance autonomy and governance, reduce manual effort, improve turnaround time, and enhance data accuracy in vendor master data management. It is scalable, extensible, and representative of real-world enterprise automation scenarios where trust, compliance, and intelligent decision-making are critical.