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A 30-minute working session, not a sales pitch. The first 5 minutes you describe the business problem and what you have already tried. The next 15 minutes we ask the questions that surface what AI can actually solve versus what it cannot — what data exists, where it lives, what the cost of a wrong answer looks like, and who would own the resulting system. The last 10 minutes we give you a candid recommendation: a rough scope and a sense of timeline if AI is the right fit, a different approach if it is not, or "this is not yet ready, here is the data work to do first" if you are too early. There is no slide deck and no follow-up sequence. You leave with a real opinion you can take to your team or to another agency, free either way.

Fast. We move quickly because most of our clients need to be live in weeks, not quarters. After the strategy call the typical path is a one-week discovery sprint to lock scope and the build proposal, then engineering starts the following Monday — so worst case is roughly two weeks from first call to first commit, and the first agent is usually live within weeks of kickoff after that. If your scope is already clear or you have an existing prototype that needs hardening for production, we can compress that and start the same week. If your project is genuinely complex — multiple integrations, dirty data, a workflow no one has fully written down — discovery comes first and is non-negotiable, because skipping it is how budgets get burned in month three. We cap concurrent projects so capacity is real, not theoretical. If we cannot start when you need us, we will say so on the call and point you to teams who can.

No. Most of the people we talk to are non-technical and arrive with a problem, not a specification. Bring a clear description of the workflow you want to improve, the people involved in running it today, what specifically is broken or expensive about how it works now, and any rough sense of what success would look like in numbers. We will supply the technical translation — what AI can realistically do, what it cannot, what data shape you need, and what tradeoffs the architecture forces. If you do already have a written brief, a previous agency proposal, or an internal scoping document, send it over before the call and we will pressure-test it during the conversation instead of asking you to repeat what you already wrote down. The call is effectively the brief in most cases — what we collect in those 30 minutes is what would have taken you a week to write up alone.

We will tell you. Roughly one in five strategy calls ends with us recommending you do not build AI for the problem in front of you, and we will explain exactly why. Common alternatives we have steered clients toward instead: a better SQL view or BI dashboard when the real bottleneck is reporting visibility, a Zapier or n8n workflow when the work is deterministic and just needs glue, hiring one experienced operator when the real gap is judgment a model cannot yet replicate, or simply cleaning up the source data first because no agent can rescue a workflow built on inconsistent records. We have killed several of our own pitched projects this way and the clients thanked us for it. Saying "do not do this with AI" is part of the work — we would rather lose your project than ship you a failure that is hard to walk back.