Frequently Asked Questions

Sovereign by default. Sensitive work stays self-hosted, logged, and access-controlled — on infrastructure you control, not a shared SaaS tenant. For a regulated firm, “we use AI” and “we can prove where the data went” are different statements, and only one survives an audit. We design data residency, audit trails, and role-based access in from day one. The sovereignty audit is a named deliverable of the Blueprint, so the answer to “where does our data go?” is written down before anything ships.

You can prototype something over a weekend — the idea is rarely the hard part. What stalls is everything after: handling real client data securely, surviving an audit, holding up at scale, and not breaking the day the model changes underneath you. That’s engineering, not a chatbot. It’s also where AI agent teams, self-healing workflows, cost-aware model routing, and sovereign infrastructure come in — the work that doesn’t get vibe-coded. If a weekend prototype were enough, your board wouldn’t still be asking.

Pricing happens on the call, not on a webpage — because the right number depends on what’s actually worth building for your business, and that’s what the session is for. The starting point is the Rung 0 AIOS Session, a paid 2-hour working session whose fee credits 100% into the Blueprint if you go forward. So your first “yes” is paid discovery that pays for itself. We don’t publish public pricing and we don’t quote a fixed figure before we understand your operations. The Blueprint ends with a fixed-fee Build proposal — no open-ended retainer.

This fits if you run a $15M–$75M business with documented operations, the AI question is coming from your board, investors, or a partner, you don’t have an internal AI team to absorb it, and you’d rather own a working system than rent another tool.

It isn’t for you yet if you’re under roughly $10M and haven’t documented how you run, you already have a built-out internal AI function, or you want a chatbot demo rather than a system tied to your P&L. We’d rather tell you that early than take an engagement that won’t work.

No. Half the “AI projects” we get asked to scope don’t need AI — they need a clean deterministic process. We’ll tell you that before you pay us. It costs us revenue and it’s the most useful thing a real partner can say. Our method runs deterministic logic first and reaches for AI only where rules genuinely fail. You get a system that works, not a language model bolted onto a job a script does better. The AI-vs-automation matrix in the Blueprint makes that split explicit and honest.

A working system you own, not a slide deck. At every rung there’s something real in your hands: the Rung 0 session leaves you with a configured AI scaffold and a 30-day plan; the Blueprint is a document you own outright plus a fixed-fee Build proposal; the Build ships a working AI system live in your stack, documented, with a support window; the Partnership owns and iterates it against one P&L metric. The strategy is real, but the proof is the system, not the pitch.

Start with a no-cost 20-minute AI Pressure Audit — no cost, no pitch. You’ll leave with a straight read on where AI moves your P&L and where it’s theater. From there, the natural next step is the paid Rung 0 AIOS Session, whose fee credits 100% to the Blueprint. There’s no booking embed wired in yet on this page; the form here captures your details and the real scheduling link is supplied by the operator. Either way, the first move is to tell us who’s asking you about your AI strategy right now.