Vendor Intake Copilot is a Watson-native enterprise agent that turns a messy vendor intake or vendor backlog into a first-pass decision brief, with clear reasoning, a weighted scorecard, supporting citations, and a clean downstream handoff. The workflow starts from either a single vendor request or a CSV backlog import. The system cleans and normalizes the intake, pulls live external evidence on each vendor, checks that against internal security and procurement requirements, and produces a structured CASE packet with decision status, risk tier, blockers, missing evidence, recommended controls, and next owner. IBM watsonx Orchestrate is the user-facing UI and orchestration layer. Redis provides the durable retrieval and review context layer for internal policy, prior review memory, and case continuity. Tavily provides live web research and extraction so the agent can ground vendor decisions in current public evidence rather than generic model guesses. For the demo, we show: CSV backlog preview and cleanup warnings, shortlist generation, queue summary, individual case review, citations, and a downstream Slack handoff packet for the next team. The point is to compress a slow cross-functional vendor review workflow into a faster, auditable first pass without removing the human approval gate.
Built at Enterprise Agents Hackathon: Powered by IBM Watsonx Orchestrate AI Labs, Tavily, and Redis
Vendor Intake Copilot
Vendor Intake Copilot is a Watson-native enterprise agent that turns a messy vendor intake or vendor backlog into a first-pass decision brief, with clear reasoning, a weighted scorecard, supporting citations, and a clean downstream handoff. The workflow starts from either a single vendor request or a CSV backlog import. The system cleans and normalizes the intake, pulls live external evidence on each vendor, checks that against internal security and procurement requirements, and produces a structured CASE packet with decision status, risk tier, blockers, missing evidence, recommended controls, and next owner. IBM watsonx Orchestrate is the user-facing UI and orchestration layer. Redis provides the durable retrieval and review context layer for internal policy, prior review memory, and case continuity. Tavily provides live web research and extraction so the agent can ground vendor decisions in current public evidence rather than generic model guesses. For the demo, we show: CSV backlog preview and cleanup warnings, shortlist generation, queue summary, individual case review, citations, and a downstream Slack handoff packet for the next team. The point is to compress a slow cross-functional vendor review workflow into a faster, auditable first pass without removing the human approval gate.
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