What made sense to the worker at the time?
The question that reorganizes an investigation. And what most teams get wrong about it.
I'm an organizational and human performance consultant. I work the culture and the controls as one system, because I've almost never seen one hold without the other.
Twenty-five years inside mining, oil and gas, manufacturing, utilities, and construction, in English and Spanish, almost always with organizations that had already done many of the right things: real programs, capable people, and serious-injury numbers that stopped responding anyway. The shape depends on where you are: a single workshop, a leadership program, or a year embedded with your team. Whatever the shape, the work builds toward the same three things: critical controls verified in the field, people who say what they actually see, and work your people can run without me.
Most operations I walk into have solid programs and capable people. The pieces just aren't talking to each other, and that gap is where things fall apart. So here's my first question, and it's a real one: where's that gap in your operation? Pick the lens closest to it. Four ways in, one practice.
Shift how people are with each other, so good work becomes the easy thing.
Read more →Move past blame. Make work visible. Treat error as the start of learning.
Read more →Leaders who can stay with complexity instead of rushing past it.
Read more →The fabric under the other three: less paperwork, and analysis we never had before.
Read more →Most consulting ends with a deck and a handoff. Mine ends when your team runs the system without me: facilitators trained, workflows that stick, leaders who can stay in the room for the harder conversation.
And when your people push back? Good. The resistance is not the problem. The resistance is the signal. It's telling us where to look.
A safety culture program on a mining expansion: the site moved from finger-pointing and blame toward care, concern, and continuous learning, with a documented incident reduction of more than 25 percent over 18 months.
A year with senior and mid-level leaders. The project reached production, quality, and safety goals that leadership had called out of reach.
Which client is which, I'll share in conversation.
In 2022, AI looked like a party trick to me. It wrote raps. It cloned voices. Cute. Then I pointed it at the paperwork that was keeping me from people, and it changed my practice: the reports, the follow-ups, the newsletter. You're looking at the demo. AI doesn't take jobs. It takes tasks. And the reclaimed hours turned out to be the smaller win. The bigger one is what it can finally see: years of incidents, audits, critical control verifications, toolbox talks, and culture surveys read together, surfacing patterns and drift no single report shows. That's the fabric: your technical systems and your human systems, finally in one conversation.
Real programs, capable people, and serious injury numbers that have flattened anyway. In my experience that's rarely a program problem. It's usually an integration problem: the process safety data and the culture story are being read in different rooms. That gap is workable.
Start with the whole practice →Incident reports, JSAs, audit prep: hours every week that should be spent with your people. You're skeptical of AI hype, and you should be. Most of it earns the skepticism. That's exactly where we start. The deeper analysis comes once the hours are back.
Start with AI integration →Your clients hired you for the human work: the relationships, the judgment, the presence. AI can carry the rest without touching any of that. I rebuilt my own practice around it first; I'll show you how.
See how I rebuilt mine →Not ready for a call? Start here. The AI Safety Report Framework is the prompts I use to turn field notes into a finished report. Free. The Signal comes with it: my short note on AI for safety people. Unsubscribe anytime. Subscribers get first invitations to the free live workshop on Tuesday, September 8.
Send me the frameworkEduardo is one of the top thought leaders in the space of safety and AI integration.
Short essays from mining sites, refineries, and the long flights in between.
The question that reorganizes an investigation. And what most teams get wrong about it.
Why most AI rollouts in safety stall, and the human and organizational work that lets the rest of it land.
What stays human in leadership when capable tools start doing the work below it.
Thirty minutes, no slide deck. By the end, we'll both know whether there's something here.
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