For CEOs and owners
Not as IT infrastructure, with licenses and access rights. As part of the workforce: every AI agent has an owner, a review standard, and a named person who decides.
8Hats Lab builds that management structure with you, one process at a time. If you have not decided yet, start with the two-session program.
Which is you?
You have not decided yet
In two working sessions your leadership team evaluates AI work on your own material. You leave with a worked task, a supplier-question sheet, and a business measure to track.
See the two-session program and priceYour people already run AI agents
AI agents draft, review, and act, but nobody owns their output, nothing states what must be checked, and decisions happen in chat. Start with the one process that hurts most.
Start with your first processThe management gap
An AI agent's output has no owner. It drafted the plan, the answer, the report. Who stands behind it is not written anywhere.
Review is implicit. Nothing states what a person must check before the work moves on, so fluent output passes.
Decisions happen in chat. “Looks good” stands in for approval, and the record of who decided does not exist.
Implementation
Not a company-wide transformation. One process, its people, its AI agents and their owners, run with the record for one cycle. Then a decision on what to expand.
Agile delivery, project management, sales, documents, or one of your own. You name it in the form below.
People, AI agents and their owners, the review gates and the decision rights, on your material. The baseline is measured in week one.
Your team runs the process. Every contribution visible, every correction kept, a named person deciding.
Accepted output, review time and correction effort against the baseline. Then the next process, or not.
You send the form. We schedule a call, show how we run one process with people and AI agents, and discuss yours. We decide together whether to start, and on what scope.
Who fits: companies of roughly 50 to 2,000 people where AI agents already do part of the work, and a CEO who wants them managed like the rest of the workforce.
Start with your first process
Tell us which process hurts and who runs it. We read every request and follow up about a call.
Where this comes from
AI agents do most of the routine work in our own operations: research, drafting, review, follow-up. People own the decisions. The management structure on this page is what survived running it ourselves.
And we study how management systems change when the workforce includes AI agents: roles, review, decision rights, and how a team learns from its corrections.
Start with your own material and baseline. Judge accepted output, review time, and correction effort.
What if
“You will replace my managers with AI agents.”
No. Every AI agent gets a human owner. The structure adds accountability to AI agents; it does not remove people from it.
“This is another platform to roll out.”
One process, your existing tools. The record and the review gates sit on top of what you already run.
“Our data is sensitive.”
You choose the process and the material, and set the access boundary before work starts.
“We have not even decided whether AI is worth it.”
Then start with the program: two sessions on your own material, and a business measure before any commitment.
Your next step
Fill in the form with the first process that hurts, or book a fit call about the two-session program. Either way, a person reads it and decides whether a next step fits.
