The problem with starting from the tool
Every week there’s a new model, a new agent framework, a new “AI-native” platform. It is genuinely hard to tell the difference between something that will save your team ten hours a week and something that will quietly cost you a quarter.
So we don’t start there. We start with where your business actually leaks time, money and attention — then work backwards to whether AI is the right instrument at all. Sometimes the honest answer is a better form, a fixed integration, or hiring one person. We’ll say so.
How the sprint runs
Week one — look. We sit with the people doing the work. Sales ops, finance, support, delivery. We map what actually happens, not what the process document says happens. We pull whatever numbers exist: volumes, cycle times, error rates, headcount cost.
Week two — score. Every opportunity gets sized on four axes: value at stake, technical difficulty, data readiness, and change friction. That last one kills more projects than the first three combined, and almost nobody scores it.
Weeks three and four — sequence. You get a roadmap that starts with something small enough to ship inside a month and visible enough that the rest of the business believes the next thing. Momentum is a strategy input, not a nice-to-have.
What you walk away with
A document you could hand to any competent engineering team, plus a shortlist of what we’d build first. There is no obligation to build it with us. Plenty of clients take the roadmap in-house — and a few of them come back a year later for the harder pieces.
Who this is for
Teams somewhere between 10 and 500 people who know AI should be doing something for them, have a budget in mind, and want a defensible answer before they spend it.