AI Outcomes Dashboard
Illustrative · Combined · Weekly · W1–W20
Six outcomes, three questions: Are we faster? Are we stable and safe? Is AI actually being used and contributing?
Speed
Are we shipping faster?
Lead Time for Changes
Lower is better
1.5 days
Green
ActualTarget
Target: < 2 days
Time from code committed to running in production.
How we measure this
Deployment Frequency
Higher is better
5 / week
Green
ActualTarget
Target: >= 4 / week
How often the team releases to production.
How we measure this
Quality & Risk
Are we stable and safe?
Change Failure Rate
Lower is better
0.2%
Green
ActualTarget
Target: < 5%
Share of deployments that cause a failure needing remediation. Zero P1/P2 incidents in 20 weeks.
How we measure this
SAST Critical Findings
Lower is better
0 / wk merged
Green
ActualTarget
Target: 0 merged critical
Critical security issues reaching the main branch. The CI gate is holding.
How we measure this
AI Impact
Is AI being used and contributing?
AI Code Contribution
Higher is better
41.4%
Green
ActualTarget
Target: >= 25%
Share of merged code that AI generated. Above the Microsoft 30% benchmark.
How we measure this
AI / Copilot Adoption
Higher is better
87.7%
Green
ActualTarget
Target: >= 80% active
Active users in the cohort. Agent adoption tracking strongly.
How we measure this
One open item. These six outcomes are green. The single amber lives in governance controls — AI tagging coverage is at 0% (Day 1 action) and BA review / CODEOWNERS sit at 96% vs. 100% target. Full control detail is in the Governance drill-down.