For most of my career, I thought I was a really good consultant.

To be fair, so did my clients.

I worked inside some excellent advisory systems. I learned from smart people. I took the best elements from each framework, strategy, finance, operations, valuation, execution and synthesized them into my own system. Over time, that system got sharper. The results improved. Clients made better decisions. Businesses grew. Value increased.

And I did all of that within the constraints of manual systems and human-only thinking.

At the time, I didn’t see those constraints clearly. They were just “the way the work was done.”

Like most consultants, I spent roughly 80% of my time in discovery calls, meetings, follow-ups, and building deliverables, and maybe 20% of my time doing the deep analysis clients were actually paying for: the thinking that helps owners make high-confidence decisions about growth, risk, and long-term value.

It worked. But it wasn’t optimal.

The Ratio Shift I Didn’t See Coming

When I started building our AI Business Operating System, I assumed the biggest gains would come from speed and efficiency.

I was wrong.

The biggest change wasn’t speed, it was judgment leverage.

Today, that ratio is flipped.

I now spend roughly 80% of my time on analysis and decision-support work, and only 20% on discovery and production mechanics.

Not because discovery no longer matters. Not because meetings went away. And definitely not because AI is “making decisions.”

The shift happened because I now work with a gifted thought partner that can:

  • Hold vastly more context than I ever could alone

  • Surface patterns across disciplines instantly

  • Pressure-test assumptions without ego

  • Throw the occasional curveball that forces me to think harder

AI didn’t replace my thinking.

It removed friction from it.

The Misunderstood Role of AI in Advisory Work

There’s a narrative floating around that AI will “replace consultants.”

That tells me one thing very clearly: Those people don’t understand what good consulting actually is.

AI is not deciding what matters. AI is not choosing tradeoffs. AI is not accountable to a client’s future.

I am.

AI gives me more information, more angles, and more structured exploration of the problem space, but every conclusion still carries my name and my responsibility.

That distinction matters.

Because when the decision is wrong, the client doesn’t call the model. They call me.

Every Prompt Is a Product of Experience

Here’s something else that surprised me.

Every useful prompt I write is not generic. It is shaped intentionally by:

  • My consulting philosophy

  • My ability to find value where others cannot

  • My belief in frameworks and sequential logic

  • My understanding of what actually moves enterprise value

In other words, the prompts themselves are a product of skill.

AI doesn’t bring a consulting system to the table. It borrows mine.

And when the output misses the mark, as it sometimes does, I can get it back in line quickly because I know what good looks like.

That’s not automation. That’s amplification.

Decision Quality Is the Real Win

The real breakthrough wasn’t faster decks or cleaner spreadsheets.

It was this:

I now make decisions with deeper layers of information.

More scenarios. More second-order effects. More visibility into unintended consequences. More clarity around risk.

The outcome isn’t “more AI.” The outcome is better judgment under uncertainty.

And that’s the entire job.

What This Means for the Future of Advisory Work

AI will absolutely change the economics of professional services. But not in the way most people think.

The future doesn’t belong to the advisor who uses AI the most. It belongs to the advisor who:

  • Has a coherent decision framework

  • Understands value creation deeply

  • Can interpret, not just generate, analysis

  • Is willing to remain accountable

AI raises the floor. But it dramatically raises the ceiling only for people who already know how to think.

Final Thought

AI did not make me obsolete. It made my strengths louder.

It didn’t replace judgment. It cleared the noise around it.

And perhaps the biggest lesson of all:

The value was never in the deliverables. The value was always in the decisions they supported.

AI just finally gave me the space to spend my time where it matters most.