Growth · Transformation · Operating Models

When the economics of work change, the operating model should too.

AI is lowering the cost of analysis, production and coordination. That changes more than productivity. It changes what companies should own, how work should be organized, where judgment matters and how quickly the business can learn.

Featured note · October 2026

AI is making execution cheaper. What becomes more valuable?

The interesting question is no longer whether companies will use AI. It is what leaders should redesign when the cost of analysis, production and coordination starts to fall.

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What I’m watching

Three shifts I’m watching beyond the technology itself.

01

Some capabilities are becoming more valuable to own.

The decision is wider than build or buy. The question is where the business needs control, learning, proprietary data or economic leverage—and where it does not.

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02

The organization chart is not the operating model.

Growth and transformation cross functional boundaries. Technology is changing the coordination costs those boundaries were built around.

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03

Faster learning may matter more than more output.

When execution gets cheaper, producing more is easy. The harder advantage is turning evidence into a better next decision before competitors do.

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From the field

Ideas are more useful after they survive contact with the business.

Selected evidence from decisions I have actually had to make.

Business transformation

When the legacy model still works—but the future is somewhere else.

Transformation required more than digital products. It included restructuring the operating model, reallocating resources and building digital capabilities while the legacy business was still producing revenue.

Approx. $2.8M annualized operating-cost reduction · digital revenue mix moved from roughly 20% toward 70%

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Revenue architecture

Putting marketing and sales on the same operating model.

The issue was not a lack of activity. Demand, commercial capacity, source economics and downstream revenue were being interpreted in separate views.

One operating view from demand through revenue and economics

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Featured decision model

Capability Boundary

What should the business own, control, partner for or automate? The model starts with established strategy and economics, then applies our thesis about separating ownership from execution.

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01Start with advantageDoes this capability materially create differentiation or important learning?
02Test the boundaryCan the work be governed efficiently outside the firm without losing control or knowledge?
03Separate the layersKeep the strategic core inside, stay flexible on execution, and automate only what can be safely codified.
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Two notes that extend the argument.

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Working with me

Enterprise leadership is the primary lane. The structure can change with the problem.

I’m most useful when growth, technology, economics, organization and execution need to move together.

Primary

Executive Leadership

Full-time enterprise leadership where growth, transformation, P&L responsibility and organizational change converge.

Fractional / InterimSenior operating leadership for a defined transition or mandate.
Strategic AdvisoryFocused work with leadership teams on consequential growth and transformation decisions.
Ownership / BuildPartnerships, acquisitions and ownership-stage opportunities where I can help create enterprise value directly.

I’m less interested in selling a predefined service than in solving a consequential business problem with the right level of involvement.