Taming AI: What it really takes to govern AI at enterprise scale
Amazon's same-day delivery works because its AI is governed. This AWS session at JNUC 2026 shows how to bring that same control to enterprise AI on Amazon Bedrock.
Ever wondered how an Amazon package finds its way to your doorstep? That Prime same-day delivery is powered by AI. Models forecast demand, optimize routes and coordinate half a million robots across Amazon fulfillment centers. That kind of AI, at that scale, only works because it's governed.
The same is now true for every enterprise racing to adopt AI — the magic only holds if the governance underneath it does.
Why now
88% of enterprises have adopted AI, but only 6% get transformative value from it. Adoption is nearly universal, but only a fraction of organizations can actually see what their AI is doing in production, prove it's compliant or say with confidence what it costs. The gap between "we're using AI" and "we're in control of our AI" is where projects stall, budgets blow up and security teams lose sleep.
If you're the person being asked to give your teams powerful AI without losing control of cost, data, or compliance — this AWS JNUC session is for you.
Most AI governance advice stops at principles. This session concretely explains what it takes to deploy, observe and control AI applications across an enterprise using Amazon Bedrock. We'll frame governance the way AWS does: as a Shared Responsibility Model spanning security, operations, compliance and cost. You'll see how Jamf's AI Governance, working with Amazon Bedrock, centrally manages AI applications across a Mac fleet.
What you'll take back
- Governance as an enabler: a Shared Responsibility Model for AI on AWS, built across the domains that matter — security, operations, compliance and cost
- Real-time, per-user spend enforcement on Amazon Bedrock: the architecture behind capping AI spend per user, in near-real-time, without breaking anyone's active session
- Tokenomics at scale: why AI cost behaves unlike any line item before it, and how to make it predictable
Join AWS at JNUC 2026
Presentation: Taming AI: AI Governance at Enterprise Scale on AWS
When: Wednesday, Sep 232:15 PM - 3:00 PM CDT
Speakers: Arun Chandapillai, Sr. Solutions Architect at AWS and Cami Persson, Principal Account Manager at AWS
Put this presentation on your JNUC agenda!