Service · Advisory
Decide your AI architecture before you pour six months into it.
The expensive AI mistakes aren't bugs — they're the wrong architecture, the build-vs-buy call you can't walk back, the costs that balloon at scale. We help you make those decisions with someone who has lived the consequences, not just read the vendor deck.
Book a fit callMost AI strategy advice has never shipped an AI system.
There's no shortage of decks about AI transformation. What's rare is advice from someone currently building a multi-tenant, security-critical AI platform — who knows where the model routing actually costs you, where the governance has to be real, and which “just use an agent” ideas fall apart under load. That's the seat we sit in.
What you get
Decisions you can defend
Reference architecture
A target architecture for your stack and risk profile — data flow, model routing, tool/agent boundaries, and where the humans stay in the loop.
Build-vs-buy & cost
Honest calls on what to build, what to buy, and what to wait on — with a cost model that accounts for tokens, infra, and the maintenance you'll actually carry.
Governance & risk framing
Where to put guardrails, audit, and human approval so the system is accountable — framed for the conversations you'll have with security and leadership.
Advisory often sets up delivery: once the architecture is agreed, the Augmented SDLC Jumpstart installs the operating model to build it, and Governed AI & RAG stands up the AI itself.
How we engage
Usually a focused, time-boxed engagement: working sessions with your team, a written architecture and decision record you keep, and a clear recommendation on what to do next. Sized to your decision, not stretched to fill a retainer. When delivery makes sense, we can roll straight into it — but the advisory stands on its own.
Book a fit call