Why your whole team, not just IT, should shape how you use AI
By Rodney Noriega, Founder, Universal Enablement · Published Oct 12, 2026
Short answer
Involve the people who actually do the work. AI's problems show up in how it's used, on whom, and in which processes, not just in the technology. Technical people tend to ask "how does it work?" Front-line staff ask "who does this help, and who could it hurt?" You need both answered before anything goes live.
A university AI course showed this clearly. It mixed computer science students with students from political science, biology, English and criminal justice, then had mixed teams test AI tools for problems. The tech students said they'd been trained to ask how a system works. Their teammates kept asking why it behaved that way and who it would affect. Together they found problems neither group would have found alone.
The same thing happens in a business. The owner sees the time savings. IT sees the setup. The person answering customer emails sees the reply that would upset a long-time client, or the case the tool keeps getting wrong.
How to involve your team without slowing down:
- Have the people who do the task help pick and define the first workflow.
- Make one of them the reviewer and owner.
- Ask reviewers each week what the AI got wrong, and act on it.
- Share results with everyone, not just leadership.
The people closest to the work are your best early warning system.
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