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The promise and what’s underneath it
What fifteen years of GTM technology taught us, and why the lesson matters more with agentic AI. Every few years, go-to-market makes a serious technology bet. Marketing automation, then data platforms, then revenue intelligence suites. Each arrived on a clear and reasonable promise: more pipeline, a tighter forecast, stronger retention. Leaders invested accordingly, and…
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Does the Shape of Revenue Strengthen the Business?
The quarterly review starts the way it always does. The number is hit, missed, or comes in close. The room moves to commentary, pipeline coverage, and what the next quarter looks like. One person at the table is doing the math in their head. They know what hitting the number costs the company in…
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AI Compounds What’s Underneath It
Two portcos run the same AI playbook. One compounds. One unravels. In the board meetings I sit in, one question keeps landing on PE operating partners from their fund’s leadership: is our portfolio AI-ready? It’s the wrong question. The right one: can the system underneath each portfolio company hold what AI amplifies? The Amplification…
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Revenue Architecture ROI Case
A structured argument for why revenue architecture is a capital-efficient lever for value creation and how it translates into enterprise value. The Hold Period Context McKinsey’s 2026 Global Private Markets Report indicates that more than 16,000 portfolio companies have been held longer than four years — the highest on record — representing 52% of…
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The Mesh: What Makes a Go-to-Market System Get Smarter Instead of Just Busier
Most B2B companies that have crossed the inflection point share a private pattern. The go-to-market system runs harder each quarter without compounding. The team is more disciplined than it was a year ago. The data is better. The tools are better. AI investments are scaling. And yet, every quarter starts roughly where the last…
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Your Team Is Executing. Your System Is Not Learning.
You are running the same play better and better. It is producing less and less. This is the one that is hardest to diagnose because everything looks like it is working. Pipeline reviews happen on schedule. Forecast calls are consistent. Campaigns launch on time. QBRs are thorough. The operating cadence is running. Reps are…
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More Dashboards Did Not Make You More Confident
You can see everything. You trust almost none of it. A few years ago, the complaint was that leadership didn’t have enough data. Now the complaint has flipped. There’s data everywhere. Dashboards for pipeline. Dashboards for engagement. Dashboards for product usage. Dashboards for partner activity. Revenue intelligence tools that can tell you what was…
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Your Forecast Is Not Wrong Because Reps Cannot Close
It Is Wrong Because Nobody Agreed on What the Numbers Mean. I have sat in hundreds of pipeline reviews. The pattern is almost always the same. The quarter is tight. One or two large deals are carrying the number. Everyone in the room knows the close dates are optimistic, but nobody says it out…
