Practice 00 · Microsoft Ecosystem

AI Awareness & Executive Training

Boards and executive teams move first — or they spend the next three years explaining why they didn't.

Our mission here

Engineered for the next decade,

We translate Microsoft's AI stack — Copilot, Azure AI Foundry, Purview, Responsible AI — into the value, risk, and operating-model decisions your leadership team actually owns. Every workshop ends with a signed point of view, not a slide deck.

What we deliver

Capability,

Board & C-suite immersions

Half-day to two-day sessions framing Copilot, agents, and Azure AI Foundry against your P&L and risk register.

C-1 enablement cohorts

Function-by-function AI literacy for Finance, HR, Operations, Sales, and Technology — taught on your real data.

Product & engineering leader masterclasses

Hands-on Copilot Studio, AI Foundry, and evaluation patterns for the leaders shipping the workloads.

Governance & responsible AI playbooks

EU AI Act, NIST AI RMF, and Microsoft Responsible AI Standard mapped to your operating model.

Microsoft stack

The platforms we run.

Microsoft 365 CopilotCopilot StudioAzure AI FoundryPurviewResponsible AI Standard

Outcomes

What you get.

A funded, board-endorsed AI thesis
Operating-model decisions documented before build starts
Risk, compliance, and security aligned with engineering

Case Study · US

Proof, with numbers.

Fortune 500 Insurer · United States

From AI curiosity to a board-approved $42M roadmap in 90 days

Challenge

The board had pressed for an AI position twice in two years; both attempts stalled in pilot. Executives lacked a shared vocabulary for Copilot vs. agents vs. ML, and risk and product were rowing in opposite directions.

Solution

We ran a 6-week executive immersion across the C-suite and C-1, grounded in live Copilot, Copilot Studio, and Azure AI Foundry walkthroughs on the insurer's own underwriting and claims data, and codified a Responsible AI operating model.

Impact

$42M three-year AI investment approved by the board in a single vote
11 use cases promoted from pilot to funded delivery within 90 days
Time-to-decision on new AI initiatives cut from 14 weeks to 9 days

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