Here's a quiet truth about AI projects: plenty of them work perfectly and still fail, because nobody uses them. The tool arrives, people aren't sure when to trust it, they check everything twice, and within a month they've gone back to the old way.
Training and support are how you avoid that. They're not an afterthought; they're half the job.
Where AI actually fits
Training happens alongside the rollout, on your team's real work. Support continues while the system beds in, with fixes and tweaks as people use it and spot what's missing.
The goal is confidence. People should know what the system does well, where it's weaker, and what to do when it gets something wrong.
What it's great at
- Short, hands-on sessions with the people who'll use the tool every day
- Clear guides written for your team, not for engineers
- Quick fixes and tweaks based on real feedback
- Building the habits that make the tool stick
What it's not great at
- Making a badly designed tool usable. Training can't fix a confusing system
- One-off sessions with no follow-up. People forget, and questions come later
- Convincing people who were never asked what they needed
- Long courses on AI theory. Most teams need to know how to use the tool, not how transformers work
How to implement it
Involve the people who'll use the system early, ideally during the audit and build. They'll spot problems sooner and feel ownership of the result.
Train in short sessions using real examples from their own work. Show the system getting things right, and getting things wrong, and what to do about it.
Then stay close for the first few weeks. Watch how it's used, fix the friction, and update the guide as you go.
How I approach it
I stay on hand while things bed in, because that's when the useful feedback arrives. Most of the improvements to a system come from the first month of real use.
I'd rather your team understands the tool well enough to question it than trusts it blindly.
Ideas that work
- A one-page guide for each tool: what it does, when to check it, who to ask
- Short sessions run on your team's own documents and tasks
- A feedback channel where people can flag odd outputs in seconds
- Regular check-ins for the first month to fix friction early
Already have an AI tool that isn't getting used? Book a call. It's often a training problem, and that's fixable.
