Change Management and Skills

Adoption is a people problem

A tool that nobody uses delivers no value. Involve the future users early; explain what the tool does, what it does not do and what stays a human decision; train people to write good requests and to review AI output critically; and give them an easy way to report problems. Address worries about jobs honestly: describe how roles will change, what new skills the organisation will help build, and avoid promising what you cannot guarantee. Measure actual usage and satisfaction, not only deployment.

A short training outline

Half a day is a good start. Practise on real examples from the team's own work.

1. What the tool can and cannot do (with 3 live failures shown)
2. Writing a clear request: goal, context, constraints, format
3. Reviewing output: check facts, numbers, tone, policy; never paste unreviewed
4. What never goes in: customer personal data, passwords, confidential deals
5. How to flag a bad answer; who to ask for help
6. Practice on 5 real tickets, then discuss

Show failures too

Demos that only show successes create over-trust. Showing a few realistic mistakes teaches people to check and builds more durable confidence.

Quick check: What helps adoption most?

• Hiding the limitations
• Announcing the tool by email only
• Involving users early and training them to review output
• Making usage secret