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For Professional Education & L&D Leaders

Teach professionals to take AI from process to payback.
Powered by Maru ClientLab.

Not another AI strategy course. In ClientLab, learners do the work: they interview simulated stakeholders who hold the information an AI initiative needs, map the real process, validate the technology, build the ROI case, and defend it to a board. Leading Agentic AI Initiatives is a 6-week program for professionals who code, co-developed with your team, including help building your instructor bench.

See the Program
Duration
6 weeks
Instructor
18 hrs
Engagement
1 client
ClientLab · Module 1 · The Diagnostic LIVE
YOU

What starts this work? Is it an email, a ticket, or something hitting an API?

Maria Delgado

Maria Delgado · Operations Manager

GROUNDED IN CASE FILE

A customer email lands in the shared claims inbox with a PDF attached. Whoever sees it first keys it into the ERP, then hands it to billing.

YOU

Can you walk me through yesterday's hardest case? How did the team work around it?

Maria Delgado

Maria Delgado · Operations Manager

Honestly? A spreadsheet. The PO didn't match, so Dana copied it line by line and emailed three people. Here's the tracker.

UNLOCKED Exception tracker spreadsheet · 2 manual hand-offs found

Illustrative exchange. Information is earned with the right questions.

The Gap

AI is automating technical execution. The value is moving to judgment.

Most AI upskilling teaches people to build. The harder part is leading an initiative through the business, and the people closest to the data and systems rarely get to practice it before it counts.

01

Finding the right process

Knowing which workflow is worth automating means interviewing the people who run it, and seeing past their biases.

02

Making the business case

Token costs, prerequisites, and payback have to survive a CFO who knows the real numbers.

03

Earning trust to ship

Security, legal, and the board will challenge risk, governance, and impact. A good answer has to be ready.