Department

Learning Platform

33 engineers · 4 teams

Operating lift

1.39/ 2

+0.03 QoQ

AI adoption

95%

of engineers

$ / seat · mo

$317

Trained

76%

25/33 engineers

Top outcome

26% fewer bugs reaching prod since the trained cohort ramped.

Teams in this departmentClick a team

Cohort PortalLead · Ana Sowande

1.4797%

Curriculum EngineeringLead · Mei Lin Chen

1.4195%

Learner DataLead · Omar Haddad

1.3393%

Mentor ConsoleLead · Rafael Duarte

1.2892%

Recommended actions

Learning PlatformCoach cohort

Throughput is steady but shallow — adoption is broad while workflow depth lags.

Mentor ConsoleCoach cohort

Mentor Console shows context drift in review sessions; a targeted refresher should lift quality.

All recommendations

How Learning Platform uses AI

Full tasks

AI completes multi-step work end-to-end

43%

Code suggestions

inline help while engineers type

34%

Q&A

asking the AI questions

16%

Review help

AI checks code before it ships

Training liftJan → Jun 2026

PRs using AI agents76% · was 41%

Reviews with AI notes73% · was 47%

Runs with context summary68% · was 44%

AI PRs with eval hooks62% · was 31%

SpendSpend page

$ / issue

$128

$ / seat · mo

$317

$ / 1k lines

$23

Hours / issue

6.6

Budget used · month62% of $16.0k