Can we verify it?
A polished document can still be unsupported, internally inconsistent, or impossible for the next reviewer to verify.
For CEO and the people leading change
8Hats Lab researches, designs, and builds how people and AI agents work together.
Start with one workflow: its output, review standard, and decision owner.
Where to start
Founders and CEOs
Evaluate AI work on your own material before deciding what to fund next.
Evaluate your next AI decisionHR and People executives
Support people through AI transformation by shaping AI agents around human judgment, wellbeing, and accountability.
Map people and AI workHeads of executive education
Make your program AI-native with assessed practice for teams of people and AI agents.
Explore the assessed LabThe management challenge
A draft arrives ready to use. Before the team relies on it, three questions still need answers.
A polished document can still be unsupported, internally inconsistent, or impossible for the next reviewer to verify.
People combine outputs without sharing the assumptions, sources, or instructions their AI agents worked from.
AI agents can prepare and compare. A named person still needs the context and authority to approve and release the work.
From the idea to the work
Choose a workflow to start.
Reps work from different versions of the truth. Leads go quiet and CRM records fall behind.
Connect AI agents for sales to verified company knowledge, calls, and CRM—with every answer tied to its source.
One current sales line. Quiet leads surface. People keep the buyer relationship.
AI work happens off-board. Done and Accepted collapse into one status. Review becomes the hidden bottleneck.
Add task contracts, acceptance tests, autonomy levels, and a review budget. Keep the Product Owner human.
AI work becomes visible. Review is planned. A named person accepts the result.
Drafts split into copies. Comments lose context. Silence is mistaken for approval.
Keep every comment tied to one version, route it to a named decision owner, and return unclear input for clarification.
One current draft. Explicit approve, return, or reject decisions. A record of who decided what and why.
Your next step
Founders and CEOs
Evaluate AI work on your own material before deciding what to fund next.
Evaluate your next AI decisionHR and People executives
Support people through AI transformation by shaping AI agents around human judgment, wellbeing, and accountability.
Map people and AI workHeads of executive education
Make your program AI-native with assessed practice for teams of people and AI agents.
Explore the assessed LabHow we work with you
Choose a bounded project with a clear operational result. Agree what success means, run it on your material, then decide what deserves the next investment.
A map of who does what, what gets checked, and where the work stalls.
A workflow design, agreed success measures, and a cost projection.
A running workflow, measured results, and a clear next move.
Start with one workflow. Agree the acceptance standard. Compare production, review, and correction effort before deciding what to expand.
We bring technology, management, psychology and learning science to the same workflow.
Our team has built and sold companies, designed learning systems, and worked in banking data intelligence.
Meet the full team



Founders and CEOs
Evaluate AI work on your own material before deciding what to fund next.
Evaluate your next AI decisionHR and People executives
Support people through AI transformation by shaping AI agents around human judgment, wellbeing, and accountability.
Map people and AI workHeads of executive education
Make your program AI-native with assessed practice for teams of people and AI agents.
Explore the assessed LabBring one workflow where context, review, or ownership gets lost. Identify whether there is a bounded first project to discuss.