Staging environment

Building AI Without Owning the Org Chart

Hosted by Asheesh Biyala

Thu, Oct 1, 2026

4:00 PM UTC (1 hour)

Virtual (Zoom)

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What you'll learn

Turn your architecture diagram into a stakeholder map

Walk away knowing exactly who owns each layer of your AI platform— before someone you never looped in blocks you.

Spot your "False Positive" before it costs you

Run stakeholders through one two-question test that catches who's fine in private, then goes quiet at audit time.

Turn compliance into leverage, not a hurdle

Treat a completed model-risk or regulatory review as proof you can point to later — not just a checkbox to survive.

Why this topic matters

Every AI strategy lesson teaches the 20% — architecture, tooling, model choice. The 80% that actually kills or ships AI initiatives is organizational: who has real power, who shows up publicly, and who's a quiet landmine. Almost nobody teaches that part — fewer still have proven it thrice, in three of the most regulated industries, across stakeholders they never managed. This session hands you that missing 80%.

You'll learn from

Asheesh Biyala

AI Executive & MBA Professor | Built AI COEs across regulated industries

I’m an AI and automation executive who builds enterprise AI capabilities where they actually have to work — in real organizations, with real constraints. I’ve stood up AI Centers of Excellence, built teams and governance from the ground up, and taken AI from strategy to production across regulated industries including insurance, tax services, and healthcare — delivering measurable results, exceeding $5M in annual savings.

As an adjunct MBA professor, I turn that real-world experience into practical frameworks you can use to identify AI opportunities, build responsible strategies, and lead transformation. Because the hardest part of AI isn’t the model — it’s building the governance, trust, and organizational capabilities that turn AI into business results.

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