Agency operationsAI operations
When AI-assisted work goes wrong on a client project
The mistake is rarely the expensive part. The expensive part is the day you spend unable to say how far it reaches.
WhoWorked team5 min read
Blog
Ideas for clearer work records
Tracking client delivery, organizing work, and recording what humans and AI each contributed.
Latest posts
AI operationsAgency operations
An AI disclosure policy you can actually enforce
Most AI policies are aspirations nobody can check. A short policy backed by a record that already exists will hold up in a client conversation.
WhoWorked team6 min read
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
AI operationsAgency operations
Start an AI work register before you automate it
You do not need new tooling to start recording how AI contributed. You need eleven columns, one project, and a month of honest entries.
WhoWorked team6 min read
AI operations
Measure AI adoption without turning work into surveillance
Prompt counts and token totals measure activity, not value. Evaluate AI adoption through delivery, review, cost, and outcomes instead.
WhoWorked team9 min read
Start counting all the work.
30-day free trial. Bring the time history you already have.