The Agentic Founder
Most companies investing in AI are getting more efficient. Very few are getting stronger. Those are not the same thing. If you are not sure which side of that line you are on, that is the conversation worth having.
"Most companies will spend the next three years running faster. The ones that win will have spent the time understanding what they are actually running towards."
The Problem
01
We win good work. The problem is I cannot tell you where the next client comes from. It comes from relationships, reputation, the right conversation at the right time. When that flow slows, there is nothing to pull. No system. No lever. Just wait. The business is better than its pipeline suggests and I know it.
02
Every team has experiments running. The board wants a strategy. I cannot explain which of it creates something a well-funded competitor cannot copy in six months. The investment is real. The commercial logic is not clear yet. And the question I cannot shake: are we automating the parts of the business that actually made us hard to replace?
03
Each year looks like the one before. Same effort, similar margin, same decisions made from scratch. Knowledge walks out with people. Problems we solved two years ago come back. The business is too dependent on a few people, starting with me. I want it to be worth more next year because of what it learned this year. Not just because we worked harder.
"Most companies running AI are automating, not learning. Those are not the same thing. One makes you faster. The other makes you harder to beat."
The Argument
Most businesses try to run all three at once. The sequence determines whether the effort compounds or cancels out.
Who do you actually serve, and what do they pay you for? Not what you think they pay you for. What they would pay more for, refer others for, and stay for when a competitor cuts prices. Most expert businesses have never answered this precisely. The result is broad positioning, slow pipelines, and revenue that is harder to grow than it should be.
Without this, every other investment is working against itself.
Value is not sitting still. In your market right now, it is being created somewhere new, commoditised by AI, eroded by a platform shift, or migrating to a different kind of player. Most businesses do not see it moving until it has already moved. Capture is about understanding what is actually happening to value in your specific market, and positioning the business to own the part that is growing rather than defending the part that is disappearing.
The businesses that win move before the market makes the decision for them.
A business that learns from every client, every decision, and every market signal gets stronger over time. Knowledge accumulates. Systems improve. The gap between this business and its competitors widens every year, not because it grew faster, but because it learned faster.
Most companies running AI are producing more, not learning more. The test: did the business make a different decision this quarter than it would have a year ago, because of what it observed? For most, the honest answer is no.
This is the business that outlasts the competition.
Clarify who you serve and how to reach them consistently. Capture the value in your market before it moves to someone else. Compound it until the business is the hardest thing in your category to displace.
Each stage depends on the one before it. The sequence is not optional.
The Work
Start with whatever is most limiting right now. Each engagement is complete in itself and designed to move you to the next stage.
Layer one
You have built a business on reputation. That is an asset. It is also a ceiling. The work comes in but you cannot predict it, accelerate it, or hand it to someone else. Every slow quarter is a personal problem.
This engagement builds the system underneath the reputation: clear positioning that pulls the right clients in, a pipeline that runs without you in every conversation, and a process that converts interest into paid work consistently. The result is revenue you can manage, not just wait for.
Revenue comes first. If this is the gap, this is where to start. Everything else builds on a working revenue engine.
Revenue Engine
Structured engagement
Email with two or three sentences about your business. We will take it from there.
Layer two
You are investing in AI. The honest question is what you are actually building. Which parts of the business become more defensible because of it. Which parts get cheaper to replicate. Where the market is going and whether you are positioned to own that or defend against it.
This engagement answers those questions from the inside out. Not from a strategy deck. From what is actually running in your business: your real systems, your real constraints, your real infrastructure. The output is a clear map of what to preserve, what to cannibalise, and what the next version of the business needs to look like before someone else builds it for you.
The goal is not to adopt AI. The goal is to make sure you are still standing when everyone else is scrambling.
Value Engine
Strategic product and service rework
Email with two or three sentences about your business and what you are trying to figure out. We will take it from there.
Layer three
The business is growing. But it resets every year. The same decisions. The same effort. Knowledge that should be institutional walks out with people. You know the business is too dependent on a small number of people, and you know that does not scale.
This engagement designs the organisation so it gets stronger with every client served and every decision made. Not just bigger. Stronger. The kind of business where market share and perceived value increase because the whole organisation is compounding what it knows, not just producing more of what it does.
The work goes into the actual infrastructure. Not the slide deck version of the business. What is running, what is broken, what can compound and what needs to be rebuilt first. Transformation built on what is real lasts. Transformation built on aspiration does not.
This is how you build the company that compounds while competitors scramble.
Self-Compounding Company
Organisational transformation engagement
What you get
A whole organisation aligned around compounding its identified value. Growing market share. Increasing perceived value. A competitive position that gets harder to attack every year.
Selective intake. Email with a brief description of your company and where you are. Engagements priced on scope.
Common Questions
Large consultancies apply frameworks. AI vendors apply their products. This practice starts from your specific business: where value is created, where it is leaking, and where it is moving. The answer to those questions is different for every company. It requires going into the actual systems, the real data, and the production infrastructure. Not writing a strategy document from the outside. That is the difference.
Most advisors at this level have never looked at a production codebase, a live data pipeline, or an actual agent system under load. The work here starts from what is real, not what is plausible.
A compounding business is one where the work done today makes tomorrow's work better, faster, or more valuable. Client knowledge feeds the next client. Decisions get encoded so they are not made from scratch again. Systems improve instead of degrading without attention. After three years, this business looks materially stronger than one that has just been executing. That is what compounding means.
Start with the gap that is most limiting right now. If revenue is unpredictable and client acquisition is a grind, start with the Revenue Engine. If you are not sure which parts of your product or service are genuinely defensible as the market shifts, start with the Value Engine. This is about reworking what you sell, not just how you use AI. If the revenue is working and the offer is clear but the whole organisation needs to compound around it and grow market position, that is the Self-Compounding Company. If you are not sure, email with a description of where you are and we will work it out together.
Businesses where expertise and judgement are the primary product. Professional services, advisory practices, B2B companies, specialist firms, PE-backed businesses, knowledge-intensive organisations. If the quality of your thinking and the depth of your domain knowledge are your main competitive assets, this work applies directly.
Email [email protected] with two or three sentences about your business and what you are trying to solve. That is enough to start a useful conversation.
About
I go into the engine room. Twenty years building and running production systems, including at Red Hat, where minutes of downtime cost millions. That background is what makes this practice different from most strategic advisory work. I can read the actual code, understand what the infrastructure is doing, and tell you what is genuinely buildable rather than what sounds right in a deck.
Most advisors working at this level produce a view of where the business should go and leave the messy reality of how to get there to someone else. The work here starts from what you are actually running in production. The real systems, the real constraints, the real infrastructure. The output is grounded in what is true, not what is convenient.
I came into this industry during the dot-com bust. Hundreds of companies lost everything chasing technology before they understood the value. A small number survived, compounded, and became something nobody expected. Amazon lost 95% of its market value, barely survived, and emerged as one of the most valuable companies ever built. The pattern was always the same: the ones that survived knew what was genuinely defensible and doubled down on it while everyone else was chasing the wave.
That pattern is playing out again, faster and with higher stakes. I know which side of it you want to be on.
Work is taken with a small number of businesses at a time. Specific, not generic. Starting from where you are.
Questions or want to understand if this is relevant to your situation? [email protected]