For education & training providers
Give your learners real practice deciding where AI belongs in a client's workflows, and why. Powered by Maru ClientLab.
Learners work hand in hand with simulated business, operations, and technical stakeholders to map the process, decide where the right technology and tools fit, and build the ROI case for change.
Illustrative exchange. Information is earned with the right questions.
Everything it takes to decide where AI belongs.
How it works
Not a single role-play. A client case with stakeholders, hidden data, and a new way of working the team has to design and defend.
- 01
Learn the method
The instructor teaches the module's how-to, such as mapping a workflow to find bottlenecks.
- 02
Interview stakeholders
Each learner applies it, interviewing the stakeholders in ClientLab.
- 03
Write up findings
Each learner writes up what they uncovered on their own, before the team meets.
- 04
Reconcile as a team
The team discusses findings from the stakeholder conversations and creates a team deliverable.
- 05
Get evaluated
The deliverable and each learner's conversation logs are submitted and scored against the rubric.
- 06
Debrief as a class
An instructor-led debrief with the whole class.
Programs
Start with a featured program, or build your own.
Featured program
Leading Agentic AI Initiatives
One client case, from finding the process worth changing to defending the investment to operations leadership.
See the program →Co-built with you
Your program, built on the same method
You bring the domain. We bring the method, the platform, and help building your instructor bench.
Partner with us →Why it matters now
The model alone doesn't deliver the value.
Someone has to tailor it to the real problem, or token spend goes up while the bottom line doesn't move. Plenty of programs teach the tools for building AI. We teach the other half of the job, the half forward-deployed engineers are hired for: working with the client to figure out what should change, and proving it pays off.
Read: The Forward-Deployed Engineer's Next Skill →Built from seven years and 40+ real client engagements in a graduate business data science and AI program.