Strategy that names the constraint, not the symptom.

Every engagement is fixed-fee, quoted after the complimentary audit. There is no rate card on this site because the same word — "strategy" — covers a two-week pricing module and a multi-region expansion diagnostic, and pretending those are one price serves nobody. What is fixed is the model: a single fee agreed before work starts, no hourly billing, no change orders for scope we should have anticipated. If the budget and the problem do not meet, you will hear that in the audit rather than three calls later.

Three differences that actually matter. Seniority: the person who wins the work does the work — there is no team of analysts learning your business on your budget. Speed: engagements run two to four weeks, not two to four quarters, because AI absorbs the analyst-grade production and the judgment does not have to wait for it. Price: the cost structure that justifies seven-figure fees — the pyramid, the offices, the bench — does not exist here.

What is the same is the method. Hypothesis-driven diagnosis, MECE issue trees, answer-first communication, and a refusal to hand over a recommendation you cannot execute.

Clients range from roughly $1M to $1B in revenue — seed-stage startups, scaleups, mid-market companies, PE portfolio companies and divisions of larger firms. The revenue band matters far less than the question. The work fits when a specific decision is pending, the answer will change what happens next quarter, and there is enough data to be honest with.

Thirty minutes, structured. You describe the situation; we run problem framing on it live — the same discipline that opens every paid engagement. You leave with the question sharpened, an initial read on where the constraint probably sits, and a view on whether this is worth paying anyone to solve. Roughly half of these conversations end with a recommendation to do nothing, or to fix something internally rather than hire an advisor.

Two roles, and it is worth separating them. Internally, AI is how the analyst-grade production — model builds, market scans, document synthesis — gets compressed from weeks into days. That is a cost structure, not a client risk. As a service, AI enablement is a capability in its own right: assessing where agentic workflows genuinely pay, piloting them, and getting them adopted. The distinction matters because most AI consulting sells the first thing as if it were the second.

Toronto, Canada. Engagements run across North America, with prior work spanning APAC and the Middle East. Delivery is remote-first with on-site sessions where they earn their travel cost — typically the diagnostic readout and the decision workshop.

You own every deliverable produced for you — decks, models, roadmaps, documentation — with a full licence to use, modify and share them internally and with your board or investors. The underlying methodology, templates and frameworks remain the property of InnovateX. That split is written into every SOW, alongside scope boundaries, assumptions, change control and an explicit clause on how AI is used in delivery.