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AI Transformation Health Monitor

Your Platform's 13 KPIs

The engineering and product metrics that signal whether your platform is ready for agentic AI — and where the gaps are. Benchmark data shown. Your real numbers require an engagement.

5
On Track (benchmark)
3
At Risk (benchmark)
13
Total KPIs Tracked
5
Unlocked via Consulting

Engineering KPIs

8 metrics

Velocity, reliability, and AI infrastructure health for your engineering org.

On Track
At Risk
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AI Infrastructure Uptime
At Risk
99.7% uptime
Target: ≥ 99.9%
↓ 0.08% below target · 3 incidents this quarter
Change Failure Rate
On Track
11% fail rate
Target: < 15% · 4 pt margin
↓ 4% improvement year-over-year
Mean Time to Recovery
On Track
45 min
avg recovery time
Target: < 60 min
Last 6 incidents (minutes, lower is better)
↓ trending down (improving)
Technical Debt Ratio
On Track
18%
of sprint capacity
Target: < 20% per sprint
8-sprint trend
↓ slowly improving each sprint
Deployment Frequency
On Track
2.3 /wk
deploys per week
Target: Daily → Weekly cadence
M
T
W
T
F
S
S
↑ +0.8 vs same period last quarter
Avg PRs Merged / Engineer / Week
On Track
3.2 /eng
avg per engineer per week
Target: ≥ 3 /engineer/wk · 0.2 above target
8-week trend
↑ +0.4 vs same period last quarter
Lead Time for Changes
On Track
🔒
Consulting Metric
Lead Time for Changes
Benchmarked against mid-market SaaS peers and calibrated to your deployment pipeline. Target: <1 week.
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Model Performance Degradation Rate
At Risk
🔒
Consulting Metric
Model Performance Degradation Rate
Tracks AI output drift over time — critical for agentic reliability. Target: <20% per quarter.
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Product KPIs

5 metrics

Adoption, velocity, and value delivery metrics for your AI product features.

AI Feature Adoption Rate
At Risk
34% adopted
Target: > 40% · 6 pt gap
↑ +6% this quarter · on trajectory
AI-NPS Score
At Risk
+28
net promoter score
Target: > 30 · 2 pt gap
Quarterly trend
↑ +5 pts vs last quarter
Time-to-Value for AI Features
On Track
🔒
Consulting Metric
Time-to-Value for AI Features
How quickly customers realize ROI from your AI capabilities. Target: <30 days from activation.
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AI Feature Velocity
On Track
🔒
Consulting Metric
AI Feature Velocity
Rate of AI feature delivery vs. roadmap. Quarterly shipping cadence benchmarked against top mid-market peers.
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AI ROI / Value Delivered
On Track
🔒
Consulting Metric
AI ROI / Value Delivered
Revenue and efficiency impact attributable to AI investments. The metric your board and PE sponsor need to see.
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Get Your Numbers

What does your dashboard actually show?

This page shows industry benchmarks for a representative mid-market SaaS platform. In a consulting engagement, we measure your real KPI baseline, identify your highest-leverage gaps, and build a 90-day roadmap calibrated to your team, stack, and PE timeline.

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