Trust Takes Years. AI Can Erase It in Seconds.
I was at a webinar a few months ago when a presenter mentioned using AI for something that was, frankly, ethically questionable. Someone in the audience pushed back. He did not walk it back. He doubled down and defended it.
I am not going to judge that person publicly. But I am not going to do business with him either. And here is the part that stuck with me: it took one answer, in one moment, for the trust in that webinar to disappear.
Trust Used to Erode Slowly
We have all heard the saying that trust takes years to build and only a moment to lose. That is not new. What is new is how much AI compresses that moment.
A bad judgment call used to take time to become visible. A rushed email, a careless comment, a decision made without thinking it through, these things surfaced eventually, but rarely all at once. AI removes that lag. A flawed decision can become a published post, a sent email, or a public response in seconds, at scale, before anyone has a chance to catch it.
That is the real risk. Not that AI makes people less ethical. It makes the consequences of poor judgment move faster than most companies are prepared for.
As a disclaimer, I use AI to polish my own writing. I am not a professional writer, and my time is limited. But the ideas in this piece are mine, and I own them. That is a small, personal example of what governance actually looks like: using the tool without letting it replace judgment.
Why Governance Comes First
I work with companies where an AI policy was one of the first things I put on the table, before the tools, before the training, before anything else. That may surprises some people. Here is why it matters.
The first misconception is that governance slows adoption down. The opposite is usually true. When employees know the guardrails, they know exactly how far they can experiment. Clear boundaries create confidence, not caution. People move faster when they know they are standing on solid ground, not guessing where the line is.
The second misconception is that governance can be added later, once the AI work is already underway. Build it in from the start. Retrofitting governance onto tools and workflows that are already in motion creates rework and leaves gaps. It is easier to build the guardrail before the car is on the road than after.
Governance also is not a document you write once. It needs the same review cycle as an employee handbook, on a set schedule, not an afterthought. AI capabilities shift weekly. Your policy has to keep pace. When governance is documented and built into how your team actually works with AI, updating it is a small task instead of a scramble.
The Cost of Skipping It
Without an active governance practice, it is too easy for AI to go off the rails and publish something you never meant to say. And the trust you spent years building can be gone in an instant, over one output you did not review closely enough.
That is why I insist on governance as a starting point with every company I work with, not a feature I bolt on later. If you do not have that trust with your customers, nothing else about your AI strategy matters.
Make sure your AI governance is in place and current. If you want a second set of eyes on where the gaps might be, I am happy to help.