Practitioner Showcase · AI Architecture & Delivery

Enterprise AI Architecture-to-Production

How I engage customers and lead enterprise AI initiatives from initial request through discovery, assessment, architecture, pilot validation, production implementation, controlled go-live, operations, and recertification.

Explore the methodology to see what I do, what I consider, the decision gate I manage, and the customer deliverable I produce at every step.
A practitioner framework aligned with TOGAF and NIST AI RMF, and grounded in enterprise security, governance, evaluation, and delivery practices · 6 phases · 22 steps.
Architecture-to-production methodology
Select a phase, then a step.
Step 01 of 22

01of 22 steps

What I do

    What I consider

      Customer deliverable

      The reusable artifact that captures the evidence and recommendation for this step.

      Decision / gate

      The condition I use to advance, revise, hold, or escalate the engagement.

      Blank customer-ready template from the MOP deck.

      Exact visual template rendered from the Enterprise AI Architecture-to-Production MOP PowerPoint.