Case Study: MBC
AI governance and Copilot training for a public transport company in the canton of Vaud
Situation
MBC, the transport company of the Morges-Bière-Cossonay region, operates the regional public transport network in the canton of Vaud. The trigger came from the employees themselves: AI was already in use across the company, with no framework and no shared rules. That informal use exposed the company to a legal risk, understanding of the stakes was uneven within the executive committee, and the appetite for productivity gains was real. Seventy administrative employees were involved.
Objective
Move beyond informal AI use by building a tailored governance framework: align the executive committee on risks and opportunities, measure actual usage before selecting tools, write an AI policy that can be applied, then train the teams on the chosen tool without leaving super-users without an answer.
Employees involved
70
Governance phases
3
Net Promoter Score
80
Overall satisfaction
96.7/100
Process
Phase 1: train and listen to the leadership
A half-day training session for the executive committee, followed by an individual interview with each of its members to surface reservations, existing practices and real expectations.
Phase 2: quantitative and qualitative audit
A survey sent to employees to measure actual usage, cross-checked with the executive committee interviews. The analysis documented management expectations, the raw material of the AI policy.
Phase 3: AI policy and rollout
Drafting of a tailored governance and AI policy (restraint, authorised uses, support for super-users, framed experimentation), circulated to managers through an internal flash briefing, alignment of the executive committee and a 2026 roadmap. Then the Copilot training rollout, delivered by Kevin Gonnet and Jean-Baptiste Berthoux.
Results
Net Promoter Score of 80
Overall satisfaction rate of 96.7/100
A reduction in shadow IT described as massive by the leadership
AI use brought into line with the applicable legislation
Several tools chosen rather than a single one, so that super-user needs are covered too
Executive committee aligned on a single framework, with employees consulted beforehand
AI policy and 2026 rollout roadmap documented
Testimonials
- MAIjin's support allowed us to define our AI governance in three phases. We began by training the members of our leadership team on AI, then conducted individual interviews. Analysing the information collected allowed us to document our management expectations, which we used to draft our AI policy and to establish our AI rollout roadmap. (Roland Zaugg, CIO, MBC)
- A great training day, truly! The topic and the trainer matched my expectations perfectly.
- The endless possibilities and opportunities of using AI in your professional and personal life, while staying focused on what really has value for you.
- Discovering AI, opening up to a new world.
- Very lively and interesting
- Thank you, really instructive :)
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