For teams
Understand how AI is used across work.
Aggregate work patterns across shared records, never a profile of a person.
Adoption
Which tools and models the team's work actually runs on.
Work patterns
How work divides across research, building, testing and delivery.
Capability development
Where practices grow month over month, per shared record.
Gaps
Where testing, verification or delivery lag behind the building.
Verify AI skills before you hire.
See the work behind a claim as hours, observed skills and evidence strength. Never a candidate's prompts, code or clients.