What is your organization engagement strategy for AI? How do you approach training and change management?

At our end, we drive AI engagement through business led use cases, structured upscaling via role based training, and strong change management focused on adoption, governance and measurable value.

Training - reskilling as we call it at Lebara is one of the foundational pillar of our AI strategy. Our goal is to upskill the entire org next year.

The best strategy is to make them use AI in day to day activities, start implementing AI within the organisations. This will help them first understand AI and then building COE and constant engagement or minor enhancement in the AI tools that are deployed in organization makes user eager to learn. To the best of strategy is to create an environment for them to learn and adopt on their own. Creating many trainings or academic might be helpful but turnout rate might not be as good as usage.

That’s a great question because AI expenses need careful consideration. I think we should start by using AI in our regular work—like development and answering questions—with controlled access. If users aren’t actively using it, we should revoke their access since licenses add to the cost.
We should also set up a centralized AI Center of Excellence (CoE) to define the overall AI strategy, governance, and security. In parallel, we need to start training teams to understand AI and how to use it securely.
Many teams will approach you wanting to work on AI, but we need to be cautious and provide limited access under the CoE’s guidelines. On the other hand, some people might worry about losing their jobs because of AI. We should address this concern and make it clear that’s not the case.
Our plan should be a gradual rollout, with a structured program for all employees to adapt slowly.

We could connect over peer calls and I could share some perspective there. I believe those would be helpful