Everyone’s talking about which AI model is best. Nobody’s asking the harder question: does your team know how to use any of them effectively?
The $240/month question
The average team spends $240/month per seat on AI tools. Most can’t point to a single workflow that’s actually faster because of it.
That’s not a tool problem. It’s a training problem.
What I keep seeing
After working with dozens of service businesses on AI adoption, here’s the pattern:
Week 1: Team gets excited, experiments with ChatGPT
Week 4: Usage drops 60%
Week 8: “AI doesn’t work for our business”
The missing step? Nobody showed them how to apply it to their actual workflows. Not generic prompt tips — specific, role-based training on the tools they already have.
The real ROI calculation
When someone learns to automate a 2-hour weekly report into a 10-minute review, that’s 90 hours/year reclaimed. At $50/hour loaded cost, that’s $4,500 from one person learning one thing.
Multiply that across a 10-person team learning 3-4 workflows each, and training pays for itself in the first month.
Question for the community
For those who’ve rolled out AI tools to a team: what was the single biggest factor in whether people actually kept using them? Was it the tool choice, the training approach, management buy-in, or something else entirely?
Genuinely curious — drop your experience in the comments.
I run AI training programs for service businesses. Happy to share specific frameworks if useful.