ChatGPT licenses aren't an AI strategy. They're an expense line.
If your AI rollout depends on every employee finding their own use case after hours, you didn't roll anything out. You assigned homework.
Kaleb JesseeFounder, Krafted Revenue · · 5 min readYour company doesn't have an AI strategy because everyone has a ChatGPT license. You have an expense line.
I keep seeing companies announce "AI adoption" while their teams still spend Monday mornings stitching together reports, copying call notes into a CRM, researching accounts from scratch, and writing the same follow-up email for the hundredth time.
Then leadership asks where the productivity gains are.
What did you actually change?
Lazy AI usage can be worse than no AI
There's another problem nobody wants to admit. Lazy AI usage can be worse than no AI usage.
- A generic prospecting email sent at 10 times the volume is 10 times more noise.
- An AI summary nobody checks can put the wrong information in front of a customer.
- A rep who lets a chatbot do all their account research may walk into the call knowing less than they did before.
That isn't productivity. It's producing more work for someone else to clean up.
How to roll out AI in a sales team
The approach that works is boring, and that's why it works:
- Pick a recurring task. Account research, call notes, follow-up emails, forecast roll-ups.
- Measure how long it takes today. And how good the output is.
- Build AI into the workflow, not into a separate tab people have to remember to open.
- Teach people what a good output looks like and exactly where human judgment is required.
- Measure the result. Time saved, quality and what changed for the customer.
How to measure whether AI is working
Ask the questions that matter to revenue:
- Are reps having better conversations?
- Are managers coaching faster and with more context?
- Are customers getting clearer answers?
"80% of employees have tried our AI tools" tells me none of that.
Where AI earns leverage and where people still win
In revenue teams, AI earns its keep on the work that eats a rep's week: account research and signals, CRM hygiene, call summaries and coaching prep, and forecast visibility.
People still create the advantage where it counts: judgment on the deal, trust with the buyer, coaching the team, and leading through change.
The goal isn't more AI. It's knowing where AI creates leverage and where your people still create the advantage. And remember: AI won't fix a bad revenue engine. It will just help you break it faster.
If your AI rollout depends on every employee finding their own use case after hours, you didn't roll anything out. You assigned homework.
Adapted from my LinkedIn post on AI adoption in revenue teams. Follow me on LinkedIn for more.
Frequently asked questions
Is buying ChatGPT licenses an AI strategy?
No. Licenses are an expense. An AI strategy changes specific workflows, sets standards for good output, and measures whether customers, reps and managers are better off.
How should a sales team start using AI?
Pick one recurring task, measure how long it takes and how good it is, build AI into the workflow, teach what good output looks like and where judgment is required, then measure the result.
Where does AI help sales teams most?
Account research and signals, CRM hygiene and automation, call summaries and coaching prep, and forecast visibility. Deal judgment, buyer trust, coaching and leading change still depend on people.
Kaleb Jessee has held every seat in a revenue organization, from seller to CRO to CEO, and has closed more than $300 million in revenue for companies from seed stage to PE-backed. He is a national champion collegiate debater and has coached six national champions. He leads Krafted Revenue.