Adoption
Department
Core Systems
38 engineers · 4 teams
Operating lift
-0.04 QoQ0.84/ 2
AI adoption
81%
1%
of engineers
$ / seat · mo
$350
3%
Trained
42%
16/38 engineers
Top outcome
11% fewer bugs reaching prod since the trained cohort ramped.
Teams in this departmentClick a team
Recommended actions
Core SystemsPause expansion
Core Systems is at risk — test checkpoints are largely absent and training conversion trails badly.
Foundations firstCoach cohort
Adoption exists without the habits to make it safe; hold new tooling until checkpoints land.
How Core Systems uses AI
Full tasks
AI completes multi-step work end-to-end
Code suggestions
inline help while engineers type
Q&A
asking the AI questions
Review help
AI checks code before it ships
Training liftJan → Jun 2026
PRs using AI agents46% · was 25%
Reviews with AI notes44% · was 29%
Runs with context summary41% · was 27%
AI PRs with eval hooks38% · was 19%
SpendSpend page
$ / issue
$166
6%
$ / seat · mo
$350
3%
$ / 1k lines
$29
5%
Hours / issue
8.6
6%
Budget used · month73% of $16.0k