Let AI touch your real business data, safely.

A 2 to 3 week senior-led engagement that designs how AI connects to your systems safely. It proves the pattern against your real data before anything goes near your live systems. It ends in an executive go or no-go decision. It is a design engagement, not an assessment. You leave with the AI Reference Architecture, an executive decision, and a priced implementation plan for any gaps.

You need Foundations when the big system questions are still open: where your data is allowed to live, how AI signs in to your systems, and who has to approve it internally. It is optional when those are already in place and you want to move directly from Jumpstart into a Transformation Blueprint. Foundations and Jumpstart frequently run in parallel.

Yes, and wherever possible we do it directly in your environment - for example, connecting Copilot or Claude to a live, permissioned slice of your Snowflake or Databricks data - rather than modeling it on synthetic samples. If your licensing or access isn't in place yet, we run the same proof in Architech's own controlled environment first, then repeat it in yours once you're ready. Either way, nothing touches your live systems until the pattern is proven, and the go or no-go decision is grounded in evidence a security officer can defend.

Most often: data is shared more broadly than it needs to be, so AI can see far more than a given task requires. Sensitive data isn't classified or protected before it ever reaches the AI. Once the AI produces an answer, who is allowed to see that answer isn't clearly controlled. And few organizations have a clear picture of how data moves in and out of their AI platform end to end. The Blueprint identifies which of these apply to you and prices the fix.

You leave with a scoped, priced implementation plan. Your team can own parts of it, Architech can deliver it as fixed-fee work, or it becomes the first step of the Build, with a checkpoint that confirms the security controls hold before we build anything on top of them. Implementation is priced from your systems, not a generic estimate, and you see the scope and the number before any work starts.

They are two different blueprints, bought independently. The AI Foundations Blueprint is the systems-side blueprint: how AI plugs into your systems - identity, access, governance, residency - designed once and reused by every workflow. The Transformation Blueprint is the workflow-side blueprint: how one workflow changes, what it is worth, and what the Build costs. Foundations runs before or in parallel when systems questions are blocking everything else.