Six areas, one discipline.

Where AI actually earns its keep in your go-to-market, and where it is just noise. An honest read of your stack and workflows: what to automate, what to keep human, what to stop paying for. Then the modernization itself, built and shipped, not recommended and left.

AI is only as good as the context it runs on. Two sides of the same discipline. Internal: your positioning, rules, and tribal knowledge structured so AI-assisted work sounds like your company instead of generic slop. External: your public knowledge structured so buyer-side AI describes you accurately when buyers research you in ChatGPT and Perplexity before ever reaching your site.

A go-to-market your team runs without heroics. Account research, signal scoring, outreach, and a weekly review that keeps score, built in your stack, run by your people. Software where software wins, senior judgment where it doesn't.

See the operating model →

How big is the real market, and which accounts matter first. Segment-by-segment sizing, a named target-account list, a ranked ideal customer profile, and the CRM buildout to work it. Ends the guessing about where growth comes from.

Software plus services. A standing intelligence system you own: news monitoring across the areas that matter, pulled into battle cards, aggregated into signals, with a senior read on what it means and what to do. The system does the watching; the judgment stays human. Priced like the software it replaces, and you keep it.

The rename-and-capture craft. What you sell, said so a buyer repeats it. From finding message-market fit before product-market fit exists, to repositioning a scaling product, to the category rename when the company has earned one. Built from operating roles where positioning had to change product, sales, and marketing at once.