Strategy. Operations. Technology.Making it all work together.

Everyone's talking about AI transformation. Boards are mandating it. Vendors are selling it. Leaders are promising it in their all-hands. And yet the failure rate for enterprise technology adoption hasn't budged much in two decades.

I've watched it happen from both sides — first as the person responsible for running $100M+ capital programs and executing software rollouts for Fortune 500 clients, and now as a strategic consultant helping enterprise organizations actually get value out of the platforms they've bought.

"The technology is rarely the problem. The people, the process, and the change management almost always are."

The pattern I keep seeing

Organizations buy a platform, run a training session, and then measure success by login rates. Six months later, they're wondering why adoption is stuck at 40% and the ROI isn't materializing. Sound familiar?

AI is going to amplify this problem dramatically. The tools are more powerful, the change required is deeper, and the gap between "we deployed it" and "we transformed with it" is wider than ever.

What actually works

After 18 years of watching what separates successful transformations from expensive shelfware, it comes down to three things: executive alignment on outcomes (not features), change management that treats people as the product, and a trusted advisor who speaks both languages — the technology and the business.

That's what I'm building toward in this next chapter. More on that soon.

The guide gave us a simple choice: portage around the waterfall on foot, or run it. Category 5 rapids. A 20-foot commercial drop. The largest waterfall you can legally raft.

Nobody portaged.

What struck me afterward wasn't the adrenaline — it was how the fear transformed once we committed. The moment the bow tipped over the edge, there was nothing left to decide. Pure presence. Complete focus on what was directly in front of us.

"The scariest part was always the anticipation. The doing was strangely calm."

The leadership parallel

I've thought about that moment a lot in the context of organizational change. Most transformation efforts fail not in the doing — they fail in the endless anticipation. The committees. The pilots. The "let's wait and see." By the time the organization commits, the window has closed.

Sometimes the best move is to tip the bow and paddle hard.

When I became a Director at JLL, leading a 50+ person Project Development organization, I was 35 years old and certain I was ready. I was wrong about that certainty, which turned out to be the most important lesson.

The org was responsible for executing retail construction programs for T-Mobile nationwide — 25,000+ projects, $100M in annual capital, and a team that had seen directors come and go. They were watching to see if I was different.

"The title gets you in the room. Everything after that, you have to earn."

What I got right

I listened more than I talked in the first 90 days. I inherited a team of people who knew more about the day-to-day operations than I did, and I treated them that way. The relationships I built in that first quarter sustained me through the T-Mobile/Sprint merger and COVID.

What I'd do differently

I'd challenge the status quo sooner. I spent too long learning the existing system before questioning whether the system was right. The best leaders I've worked with since have a shorter gap between arrival and honest assessment.

Leading people is the hardest and most rewarding work I've done. I'd do it again tomorrow.