Normalize readiness
Requirements, development, testing, security, dependencies, and operations share one evidence model.
Release Intelligence
Turning fragmented delivery evidence into an explainable release decision.
Role demonstratedOperating-model designerReleasev0.2.0Data policy100% synthetic
Release status is visible. Decision confidence often is not.
Critical releases are governed through disconnected trackers, test reports, security findings, dependency updates, and presentation narratives. Leaders can see activity, but not always the evidence behind a recommendation—or the fastest action to improve it.
Explain confidence
Weights, evidence penalties, safety caps, and top drivers make every score reconstructable.
Focus intervention
Risks and commitments are paired with accountable owners, dates, exposure, and recommended actions.
Brief the decision
A deterministic AI fallback creates an executive narrative without credentials or opaque claims.
Illustrative enterprise evidence model: Jira Align and Jira planning · GitHub Enterprise engineering signals · CI/CD and DevSecOps controls · automated testing · cloud, change, and observability platforms. The public demo uses synthetic data and no employer connections.
This is a program-leadership artifact implemented as a product.
The application demonstrates how a principal TPM or engineering delivery leader designs governance: choose the evidence, define the gates, make uncertainty visible, and create a repeatable path from signal to decision.