Decision Readiness Radar – AI Governance Gatekeeper (Built on IBM watsonx Orchestrate) скачать в хорошем качестве

Decision Readiness Radar – AI Governance Gatekeeper (Built on IBM watsonx Orchestrate)

In large organizations, critical initiatives often begin as vague ideas in chat or email - “We should improve DNS security soon.” Too often, these initiatives move forward without a clear owner, approvals, success metrics, or identified dependencies. Decision Readiness Radar is an AI-powered governance gatekeeper built entirely on IBM watsonx Orchestrate. Instead of generating advice, it enforces readiness. In this demo, you’ll see how a single sentence is transformed into a structured Decision Brief and evaluated by a multi-agent AI workflow. The system issues a READY or NOT READY verdict based on governance and risk conditions — with a readiness score, confidence level, explicit blockers, and concrete next actions. What the demo shows: How vague ideas are converted into structured decisions A deterministic multi-agent pipeline (not a single prompt) Incremental refinement across chat turns without losing state Governance gaps surfaced early, before execution begins A final READY verdict only when critical conditions are satisfied Under the hood: Decision Readiness Radar uses a central Orchestrator coordinating six specialist agents: Intake Normalizer Constraints Risk Analyst Quality Gate Verdict Together, they behave like a virtual governance board — transparent, auditable, and consistent. This project demonstrates how agentic AI can move beyond content generation to become a real governance control layer for security initiatives, migrations, and enterprise change decisions. 📌 Built for: Project sponsors, security teams, risk teams, and change advisory boards 🧠 Technology: IBM watsonx Orchestrate, multi-agent AI 🔍 Outcome: Faster, safer, and more accountable go/no-go decisions