Customer story · Payments · Morocco

Equipping 36 executives and managers to use AI in their work

From October 5 to 9, 2026, AI Crafters worked with 36 executives and managers at Centre Monétique Interbancaire. Using CMI’s own Claude Team/Enterprise account, participants practised on business tasks, designed workflows and defined priorities and rules for AI adoption. AI Crafters also completed onboarding and initial activation for all 36 users in CMI’s Claude environment.

CMI

Training, business workflows and governance
36executives and managers trained
October 5–9, 2026one week of training and workshops
ClaudeCMI’s Team/Enterprise account

Turn individual experiments into structured business practices

Executives and managers needed to learn how to use AI on their own work, identify suitable tasks and assess the quality of its outputs. The programme connected individual practice to CMI’s business processes, including user needs, data requirements, responsibilities and human validation.

From practical Claude exercises to adoption priorities

01

Onboard and activate users

Complete onboarding for all 36 users in CMI’s Claude environment and support their initial business use.

02

Practise on business tasks

Create and refine deliverables with Claude, then assess the outputs against quality criteria through peer review.

03

Document reusable routines

Specify inputs, instructions, checks and expected outputs so that teams can repeat the work within a shared framework.

04

Design workflows

Map processes and pain points, define use cases and allocate work between Claude, employees and managers.

05

Prioritise and govern

Assess value, feasibility, risks and dependencies. Consolidate priorities and define governance rules and responsibilities.

What teams worked on

Claude was used throughout the practical exercises, management routines, use-case design and workflow workshops.

Process and pain-point mapping

Groups described work stages, stakeholders and friction points, including repeated data entry, waiting, errors, rework and reporting preparation. This mapping helped identify where AI could make a useful contribution.

Use-case canvases

Each need was structured around a business problem, a user, a role for AI and an observable intended result. Teams reviewed proposals against operational constraints.

Human-AI workflows

Participants defined inputs, outputs and handoffs between AI, employees and managers, including explicit human validation points.

Qualification and prioritised backlog

Use cases were assessed for value, feasibility and risk. Teams consolidated a backlog, grouped similar proposals and documented priorities.

Governance and adoption

Workshops addressed confidentiality, human validation, transparency, access and controlled experimentation. Teams also worked on responsibilities, review routines and adoption indicators.

A programme spanning CMI’s business functions

The programme brought together leaders from management, operational teams and support functions.

  • Executive leadership and management
  • Finance, accounting and human resources
  • IT, infrastructure, data and innovation
  • Payments, sales and partnerships
  • Customer relations, quality and operations
  • Compliance, risk and fraud prevention

36 people trained, with deliverables to guide the next steps

All 36 participants completed the training and practical work with Claude. The engagement produced reusable routines, use-case canvases, human-AI workflow designs, a prioritised backlog and governance rules. CMI now has a shared framework for selecting the use cases to develop further and organising adoption. A dedicated workshop platform supported mapping, qualification and consolidation of the work. AI Crafters also completed onboarding and initial activation for all 36 users in CMI’s Claude environment.

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