There Are Real People at the End of Every Endeavor

I had prepared a brief for a potential client in South Louisiana — someone who had been referred to me. We got on a call, I walked through how we could bring AI automation into their business gradually, carefully, in a way that wouldn't disrupt what was already working. More importantly, in a way that would give their employees time to find the value in it for themselves — not just for the boss.

That's when he said it. Something to the effect of: "I am the boss. If I make a decision, they can accept it or leave."

I pushed back. They chose not to work with me. And yes — it hurt. I had invested real time in them. But what hurt more wasn't losing the client. It was what I could already see happening in that company the moment those words left his mouth. The employees I was trying to help — their fears taking on life. Their frustration surfacing, with the boss as the easy target. And one more nail in the coffin of AI implementation for a group of people who had nothing to do with the decision.

There are real people at the end of every endeavor. Not numbers. People.

That's the thing I cannot unsee. I have tried. It doesn't work.

I see it in the patience problem too — and let me be honest about where the patience problem actually lives. It's not usually the employer. It's the employees who stand to benefit most from AI implementation who struggle hardest to ride out the early turbulence. And I understand why. AI implementation in its early stages is not smooth. It stumbles. It produces bad outputs. It asks you to trust something that hasn't earned your trust yet.

It reminds me of Peter stepping out of the boat. He actually did it — he was walking on the water — and then he looked at the storm instead of at the One who had invited him out there, and he started to sink. I told you I was a pastor for almost 30 years, so you'll forgive the allegory. But that's genuinely what I watch happen. People step out, they feel the wind, they look down at what's wrong instead of staying focused on what this could become — and they pull back just before it starts to work.

There's also the data problem — and this one doesn't get talked about enough. All data is dirty. Every business, every database, every system has layers of inconsistency, gaps, and noise baked into it. Most people don't have the patience to work through it. They want clean inputs from day one, and when they don't get them they conclude that AI doesn't work for them. What I have seen — and believe — is that if you stay the course, the data helps to clean itself. The process surfaces the problems so you can fix them. But you have to be willing to stay in the storm long enough to find out.

I want to be careful here about how I characterize employers, because what I mostly see — far more than the "take it or leave it" type — is the broken-hearted entrepreneur. The person who built something, who genuinely cares about the people working alongside them, and who faces decisions they truly wish they didn't have to make. AI implementation is just another in a long string of those hard decisions. They are not callous. They are carrying something heavy, and they are trying to move forward anyway.

It's the ones who mistake urgency for authority that concern me. Not because they're bad people, but because the people at the other end of that decision — the ones who didn't get a vote — are the ones I keep seeing in my mind when I close the laptop at the end of the day.

I cannot unsee them — after all, they are the very reason the Guardian Manifesto lives — each is valued.

But if they are valued — and they are — then fear alone is not a good enough response to what is coming. Neither is pretending it isn't. That conversation is next.