Engineering Flow
AI-first executive view · Custom scope · last 30d
AI Bottom Line
Output fell sharply while flow remained slow, with review and hold states driving the current delay profile.
Headline KPIs · last 30d
AI insight
- Where AI helps:The single AI-owned and AI-touched item reached ready very quickly, at 1.8 hours.
- Where AI hurts:On the single AI-owned item, cycle time was 985.6 hours and lead time was 987.4 hours; this is directional only because the sample size is one. The same pattern appears in AI-touched work because that cohort is also one item.
- Next focus:Reduce review backlog and unblock stuck work before adding new intake.
AI in teams · 1 team
18 completed · 5.6% AI-touched · 1 active agent
Bottom line
PDO declined (-62.5%) in throughput. AI-vs-Human cycle comparison is directional only (sample too small) (n=1/14); the main AI bottleneck is Ready For Review.
Issues done
18
-62.5% vs prev
AI-owned share
6%
+3.5 pp vs prev
AI-touched
1 (6%)
Lead Time (active)
28.7d
prev 31.8d
Cycle Time (active)
7.9d
prev 4d
TTR p50
20.8d
prev 22.1d
PR Review p50
—
WIP active
15
WIP blocked
6
AI insight
Where AI helps
No statistically stable AI advantage detected yet. Directional-only signals below numerically favor AI but sample size is below threshold.
Where AI hurts
No statistically stable AI regression detected. Directional-only signals below numerically favor humans but sample size is below threshold.
Directional only (sample too small)
- · Cycle Time (active): AI 41.1d vs Human 7.7d (n=1/14, below 20)
- · Lead Time (active): AI 41.1d vs Human 28.7d (n=1/17, below 20)
- · Time to Ready p50: AI 1.8h vs Human 20.8d (n=1/13, below 20)
Top AI bottleneck
Active agents · top 1
AI Period: compare · intro 2026-03-30
Active bottlenecks · top 5
Top teams · by throughput
| Key | Team | Throughput | Lead Time (active) | Cycle Time (active) | Active WIP | Blocked WIP | AI % |
|---|---|---|---|---|---|---|---|
| PDO | Platform Daily Operations | 18 | 28.7d | 7.9d | 15 | 6 | 6% |