Capabilities

Enterprise and constrained deployment.

Private endpoints, VNet integration, data residency, internal-only model gateways, offline-first requirements. Constraints treated as design inputs, not obstacles.

Client data never touches a public model API. Systems that must run where the client requires, provably.

Claims backed by links

The evidence.

ProofEnterprise and constrained deployment

Production deployment on a locked-down private network with dedicated VNet egress under residency rules

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ProofEnterprise and constrained deployment

Offline-first GIS with the zero-external-call guarantee enforced by an automated test

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The first step

Twenty minutes. You describe where AI is stuck.

You leave the call knowing whether I can help, roughly what it would take, and what it would cost to find out for sure. If I am not the right person, I will say so on the call.

The 20 minutes, in order

  1. You talk first. Where AI is stuck, what has been tried, what it costs today.
  2. I answer plainly. Whether I can help, and what I would look at first.
  3. You leave with a next step. An audit scope, a pointer elsewhere, or a clean no.

Before you book

  1. Your stack is not too messy to start. Messy is the normal starting condition.
  2. Training that does not survive the week is the normal outcome. These sessions build on your backlog and ship something real.
  3. You do not need budget approved to take the call. You need it approved to start step two.
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