Build a service-parts operation in Southeast Asia
FOR EXECUTIVE EDUCATION
Prepare your executive program for teams that include AI.
8Hats Lab helps you adapt what leaders practice and how faculty assess it. Start with a Lab where participants make the same management decision with their peers, then revisit it with AI agents on the team. If the exercise reveals useful changes, we can help carry them into the rest of your existing program.
- Participants manage work contributed by AI agents.
- Faculty can inspect how each decision was reached.
- The school can extend selected practice through its existing curriculum.
Download the Lab overviewBook a 20-minute callPrefer email? di@8hats.ai
PDF · the case, the two rounds, what faculty assess, and how we prepare it with you
THE FIRST ENGAGEMENT
Run the same management decision with people, then with people and AI agents.
The task, source packet, budget and deadline stay the same. What changes is who contributes to the work and how participants handle those contributions.
Illustrative capital allocation case
€40M available. €65M requested. The board meets in nine days.
A manufacturer must choose among three requests and explain which risks it is willing to accept.
Automate the second European plant
Acquire a customer-diagnostics software firm
PEOPLE ONLY
Make and seal the first recommendation
Participants read the business cases, board minutes and market brief. They allocate the €40 million and sign a one-page recommendation before the second round begins.
PEOPLE AND AI AGENTS
Repeat the decision with named AI agent roles
AI agents rebuild the cases, check an approved evidence set, argue against each request and keep the record. Participants decide what to delegate, which claims to verify and where a person must intervene.
- 01 · 02
FACULTY REFLECTION
Compare the two decision records
Faculty and participants examine changes in delegation, evidence checks, disagreement, handoffs and decision ownership. The group also records what it would change before using the approach elsewhere.
AI agent roles in round two
Analyst
Rebuilds each business case from the packet.
Scout
Checks one approved public evidence set.
Red team
Builds the strongest case against each request.
Recorder
Keeps every claim, source, owner and decision visible.
The second recommendation is not expected to be better. Participants already know the case, so familiarity may affect the second round. The comparison shows how the work changed. It does not establish a causal AI effect.
The Lab can stand on its own. Broader work begins only if the school decides it would add value.
Download the Lab overview PDF · the case, the two rounds, what faculty assess, and how we prepare it with you
WHAT THE LAB GIVES YOU
A decision record faculty can teach from.
The Lab makes individual judgment visible inside a team exercise. It also gives program directors a bounded example of where current assignments, assessment or AI-use rules may need attention.
FOR PARTICIPANTS
Practice with accountable AI work
Participants specify work for AI agents, open the sources behind material claims and explain why their recommendation changed or stayed.
FOR FACULTY
Evidence for the debrief
Faculty can review who delegated what, which sources were checked, how disagreement was handled and who owned the final decision.
FOR THE PROGRAM
A tested point of departure
The school sees which parts of one management task changed when AI agents joined the work, and which parts still required human judgment.
AFTER THE LAB
How the Lab can inform the rest of your program.
If the school chooses to continue, we work with faculty to apply relevant observations from the Lab. Faculty retain academic control and ownership of the curriculum.
Identify modules where AI agents change the management task.
Adapt assignments and learning activities around those changes.
Make delegation, verification and judgment assessable.
Prepare approved AI workspaces and course materials.
Agree rules for data, acceptable AI use and decision authority.
Plan follow-through where it supports the program.
HOW WE PREPARE IT
We build the Lab with faculty, inside approved boundaries.
The work starts from one module the school already teaches. We prepare and test the operating layer. Faculty own the learning design and academic decisions.
8HATS LAB PROVIDES
- Approved course materials prepared for AI use
- Configured AI agent roles, tools, permissions and approval points
- A faculty-tested exercise and rehearsal
- Decision-record templates and a proposed assessment process
- Support for the agreed delivery and follow-through
FACULTY AND THE SCHOOL OWN
- The framework, case, assignment and rubric
- Approved sources and participant or employer data boundaries
- Acceptable AI use and human decision rights
- Academic delivery, assessment and curriculum ownership
Preparing an AI agent means configuring approved knowledge, instructions, examples, tools and tests. It does not mean retraining a foundation model.
WHY 8HATS LAB
Built by people who have worked on assessment, learning systems and AI infrastructure.
This experience supports our ability to design and deliver the Lab. It is not evidence that the Lab improves participant or program outcomes.
Assessment and operating experience
Dmitriy Istomin founded and led Examus, an AI assessment company acquired by Constructor Tech. Taras Pustovoy co-founded the National Platform of Open Education, used by 2.7 million learners, and was a Coursera content partner.
Learning and AI system design
Alexander Volkov, PhD leads our Human-AI Learning Architecture and research design. Mariam Mamedli, PhD turns research questions into AI agent systems that can be tested.
Institutional learning advice
Dale P. Johnson, PhD, Director of Digital Innovation at Arizona State University's University Design Institute, advises on institutional learning design and adoption.
WHERE THE LAB CAN RUN
Use the setting your program already governs.
The case and learning logic stay consistent. The workspace and control model follow the program context.
SCHOOL PROGRAM
An existing executive program
Use an approved participant or 8Hats Lab workspace. Faculty control the sources, rubric, acceptable AI use and assessment.
CORPORATE ACADEMY
A company-specific program
Use the client's approved tools, workspace and data boundaries. Faculty, the sponsor and IT or security agree permissions and decision rights.
START WITH ONE DECISION
See the Lab before you decide whether it fits.
Download the overview for the case, both rounds, the faculty assessment view and the preparation split. If it looks relevant, bring one existing module to a 20-minute call.
Download the Lab overviewBook a 20-minute callPrefer email? di@8hats.ai
PDF · the case, the two rounds, what faculty assess, and how we prepare it with you