AI Sovereignty: Building a Model-Agnostic Enterprise AI Architecture
SEPTEMBER 3RD, 2026
12:00PM - 1:00PM CDT
VIRTUAL WEBINAR
AWS
What We'll Cover in this Webinar
Lock-In Risk
How enterprises end up with one vendor, one API, no abstraction layer, and no insurance if that vendor changes terms.
Infrastructure Options
Hyperscaler infrastructure, open-weight models, and on-premise hardware, with AWS Bedrock as a worked example.
Decision Framework
A decision tree and NPV planning sheet that let you run your own numbers instead of following a preference.
Future Proofing
How each path absorbs SOTA churn and model obsolescence without a rebuild.
Who This Webinar is For
Platform & Infrastructure Leaders
Concerned about velocity risk if the underlying model changes terms mid-build, or competitive risk from lock-in to a single provider's release cycle.
Data & Governance Leaders
Accountable for where data goes when the model changes, whether it trains someone else's model, and whether you can guarantee full control.
AI-Accountable Executives
Responsible for platform cost and continuity to your board. This session gives you a concrete framework and numbers instead of defensive talking points.
Workshops Speakers
This is not a Bedrock feature walkthrough. It's an architecture session for technical and business decision-makers already calling a frontier model API directly. Scott Poulin, VP of Technology at Improving, will be co-presenting with an AWS AI Architect.
Scott Poulin
VP of Technology, Improving
What's Next?
If you recognize your own architecture in the lock-in pattern we describe, book the AI Sovereignty assessment. We'll run your actual numbers - token volume, growth rate, blended API rate - against the three paths to find which one wins on your own math.