Find the growth bet that wins.

You should use them, and we do. AI agents do our research legwork: market and competitor scans, analysis of your CRM, product and win/loss data, and prototypes for customer tests. That makes the work faster and cheaper than a traditional strategy project. What you pay for is what AI can't supply: evidence from your own buyers, judgment from operators who've run these P&Ls, and the buy-in to act on the result.

You shouldn't pay for the document. A model will give you a plausible plan, and a similar one to every competitor that asks. What it can't give you is the choice of beachhead and the proof behind it. We put the top options in front of real buyers, size the market from what they say they'll pay rather than a top-down TAM, and pressure-test the expansion path against what we've seen stall at companies like yours. The plan is defensible because the evidence is yours, not the model's.

It isn't, unless the inputs are. Models learn from the same public information your competitors use, so strategies built only from AI converge. Differentiation comes from what isn't public: how your customers actually discover, evaluate and use products like yours, what your CRM, usage and win/loss data say, and what your team can do that rivals can't copy quickly. We gather that evidence, then use AI to analyze it at a depth that used to take months.

Because listing options was never the hard part. Getting the CEO, CFO, CPO and board to commit to one, and stop funding the others, is. That takes surfacing disagreements early, testing each position against evidence, and saying no to someone's favorite project. We run that process as a neutral party with operator experience, and record each decision with its owner, evidence and kill criteria so it doesn't get reopened next quarter.

Operating experience of the transition, not a trend report. We've led product and P&Ls through pricing and packaging changes. We model the move between seats, usage and outcomes against your real cost to serve, including AI and support costs, and test the new price points with buyers before you change the price book. You get a pricing and business-model decision with numbers, not a view on the future.

Frameworks are easy. Discipline is the weekly habit of cutting initiatives that aren't moving the numbers and holding owners to their targets. We tie every initiative to a revenue, retention or margin target, run that cadence alongside your team until it sticks, and hand it over once your team runs it without us. If a framework alone fixed this, the one you already have would have.

Fixed-scope, milestone-billed against named deliverables. We do not bill hourly. If scope changes mid-engagement, we re-quote in writing before any new work begins.

Senior operators only. Our team has led product and P&Ls as CPOs and executives at SaaS, ad tech, martech, fintech and digital health companies, so the plan reflects what it takes to ship and sell, not just what reads well on a slide.

We are senior operators, not generalist consultants. Because AI handles the research legwork, senior time goes to customers and decisions, and the output is a tested plan your team can execute, not a deck that sits on a shelf.

Series A–C and PE-backed companies with $10M–$300M revenue, typically in SaaS, martech, ad tech, fintech and healthcare technology.

Train & Transfer ends when your team runs the product cadence without us; ongoing support is optional. Many clients then add a GTM System build to take the plan to market, or AI Optimization if it depends on AI or data work. There is no obligation either way.