AI attributionAI operations
Agent runs are not timesheets
An agent works while nobody is watching. That work still needs a record with an owner, a scope, a cost, and a reviewer, and an hours grid cannot hold one.
WhoWorked team7 min read
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Ideas for clearer work records
Tracking client delivery, organizing work, and recording what humans and AI each contributed.
Latest posts
AI attributionAgency operations
What a human review actually checks
Human reviewed is the claim every AI disclosure leans on, and most teams cannot say what the reviewer looked at. A checklist turns a signature into evidence.
WhoWorked team6 min read
AI attribution
The AI attribution maturity model
Teams can progress from ad hoc AI disclosure to governed work records without collecting every prompt or deploying every integration at once.
WhoWorked team8 min read
AI attribution
A practical model for AI attribution
A statement that says “AI was used” reveals almost nothing. Practical attribution records contribution, ownership, initiation, review, and evidence.
WhoWorked team9 min read
AI attribution
AI did the work. Who gets the credit?
Human timesheets and AI usage logs each record only half the work. A useful attribution model keeps accountability human while making material AI contributions visible.
WhoWorked team8 min read
AI attributionWorkstreams
A practical guide to attributing human and AI work
Build a clear record of human responsibility, AI involvement, time spent, and outcomes without inventing machine hours.
WhoWorked team4 min read
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