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That equation, applied to your cloud and AI spend.

We bring FinOps discipline and AI unit economics to mid-market teams — the same practices we shipped inside Microsoft, delivered as a senior-practitioner consulting engagement.

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What we do

Two practices. One goal: make your cloud and AI spend defensible.

FinOps + AI Economics

Cloud cost discipline and AI unit economics — especially for teams shipping generative AI where tokens are the new kilowatt-hour.

  • Cost allocation with FOCUS & the Microsoft FinOps Toolkit
  • Azure OpenAI token economics & chargeback
  • Showback dashboards in Power BI
  • Signature AI Solutions engagement (brainstorm → build → CoE)
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Cloud & AI Advisory

Senior architecture and governance for the mid-market: Cloud Centers of Excellence, honest reviews, Responsible AI policy.

  • Cloud Center of Excellence setup & maturity
  • Architecture & operational-efficiency reviews
  • AI Governance (NIST AI RMF, EU AI Act, ISO 42001)
  • Leadership & team enablement workshops
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Who we are

Two Microsoft veterans who decided to do this independently.

25+ years building, shipping, and advising across Azure, SQL Server, and AI.

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Wayne Smith

Co-founder · Fishers, IN

Former Microsoft Cloud Solutions Architect. Co-presented Microsoft's Azure Design Blueprint Series on Responsible AI (Dec 2024). Author of two New Riders titles on SQL Server.

FinOps Azure Responsible AI

Robb Dilallo

Co-founder · St. Louis, MO

10+ years Senior Technology Strategist at Microsoft. Published on the Microsoft FinOps Blog (May 2025) on Azure OpenAI token economics.

AI Economics CoE FOCUS
Writing & speaking

Our writing and speaking

Managing Azure OpenAI costs with the FinOps toolkit and FOCUS: turning tokens into unit economics

Robb Dilallo · Microsoft FinOps Blog · May 2025

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Azure Design Blueprint Series: Responsible AI in Azure

Wayne Smith & Devanshi Thakar · Microsoft · December 2024

Watch on YouTube →

AI workshops delivered internationally, including at Morocco's 1337 coding campuses.

Bring us your cloud bill and 30 minutes. We'll tell you what we'd do.

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