Scope: Custom scope(6 projects)

Engineering Flow

AI-first executive view · Custom scope · last 30d

AI Bottom Line

Templated

Throughput declined (-53.7%) and AI participation decreased (-6.2 pp). Not enough samples for AI/Human comparison this period (n<20 across all metrics).

AI ROI: data insufficient for the last 30d. 6 projects in scope, none with stable AI vs Human cohort (n≥10 both sides) on Lead Time.

Investigate per project →

Headline KPIs · last 30d

Issues done

105▼ 53.7%

Last 8w

AI participation

0.0%▼ 100.0%

Last 8w

Lead Time (active)

4.7d▼ 33.7%

no trend

Cycle Time (active)

1.6d▼ 71.1%

Last 8w

AI insight

Where AI helps:Not enough samples for AI/Human comparison this period (n<20 across all metrics)
Next focus:Reduce wait time in Waiting for Client (currently 78d) — this is the team-wide bottleneck.

AI in teams · 3 teams

IMC[Engineering]: Incident Management

0.0% AI

2 completed · 50.0% AI-touched · 1 active agent

Bottom line

IMC declined (-66.7%) in throughput. AI cohort too small for cycle comparison (n=0/0); no specific AI bottleneck stands out.

Issues done

-66.7% vs prev

AI-owned share

+0.0 pp vs prev

AI-touched

1 (50%)

Lead Time (active)

29.6d

prev 20.2d

Cycle Time (active)

—

prev 0h

TTR p50

6.4h

prev 4.8d

PR Review p50

—

WIP active

WIP blocked

AI insight

Where AI helps

No AI-owned metric is currently faster than the human cohort.

Where AI hurts

No AI-owned metric is currently slower than the human cohort.

AI cohort too small for direct comparison on this team.

Top AI bottleneck

no AI-owned cohort with stage data

Active agents · top 1

Oliver

ADSAdvertisement

0.0% AI

52 completed · 13.5% AI-touched · 2 active agents

Bottom line

ADS improved (33.3%) in throughput. AI cohort too small for cycle comparison (n=0/52); no specific AI bottleneck stands out.

Issues done

+33.3% vs prev

AI-owned share

-2.6 pp vs prev

AI-touched

7 (14%)

Lead Time (active)

4.7d

prev 6.5d

Cycle Time (active)

prev 3.8d

TTR p50

3.9d

prev 0.1h

PR Review p50

—

WIP active

WIP blocked

AI insight

Where AI helps

No AI-owned metric is currently faster than the human cohort.

Where AI hurts

No AI-owned metric is currently slower than the human cohort.

AI cohort too small for direct comparison on this team.

Top AI bottleneck

no AI-owned cohort with stage data

Active agents · top 2

Nikolaos

Oliver

AI Period: compare · intro 2025-08-01

EVOPlatforms Evolution

0.0% AI

52 completed · 1.9% AI-touched · 0 active agents

Bottom line

EVO declined (-55.2%) in throughput. AI cohort too small for cycle comparison (n=0/52); no specific AI bottleneck stands out.

Issues done

-55.2% vs prev

AI-owned share

-11.2 pp vs prev

AI-touched

1 (2%)

Lead Time (active)

4.6d

prev 13.7d

Cycle Time (active)

2.1d

prev 6.8d

TTR p50

1.3d

prev 1.7d

PR Review p50

—

WIP active

WIP blocked

AI insight

Where AI helps

No AI-owned metric is currently faster than the human cohort.

Where AI hurts

No AI-owned metric is currently slower than the human cohort.

AI cohort too small for direct comparison on this team.

Top AI bottleneck

no AI-owned cohort with stage data

Active agents · top 0

none in window

AI Period: compare · intro 2026-04-02

Active bottlenecks · top 5

Workflow stageRelative wait timeMedian time

Waiting for Client

78dp50

Ready For Staging

4.5dp50

PM/Client Review

2.7dp50

Failed On Testing

1.8dp50

On Hold

1.8dp50

Top teams · by throughput

Key	Team	Throughput	Lead Time (active)	Cycle Time (active)	Active WIP	Blocked WIP	AI %
ADS	Advertisement	52	4.7d	0h	26	17	0%
EVO	Platforms Evolution	52	4.6d	2.1d	44	5	0%
IMC	[Engineering]: Incident Management	2	29.6d	—	2	0	0%
PU	Portfolio Upkeep	0	—	—	126	31	0%
TAA	Test AI Agents	0	—	—	0	0	0%
TDOT	Solitaire.com	0	—	—	54	12	0%

Data quality⚠ amber

⚠ Sync freshness6/6 synced

✓ Latest sync6/6 OK

⚠ Config coverage1 status gap(s)

✓ PR linkage1 projects ≥60%

19 tickets excluded — managed centrally.

133 tickets excluded — managed centrally.