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From AI Policy to AI Control: The Runtime Layer Enterprises Are Missing

AI Solution Launchpad Series | Session 3

Bag   Wednesday, September 2, 2026       Clock   11:00 AM - 12:00 PM PT

Close the gap between AI governance frameworks and real-world AI operations.

Enterprise AI adoption is accelerating, but governance cannot stop at policy creation, framework selection, or pre-deployment review. Once AI systems are in production, organizations need visibility into how prompts, data, models, agents, outputs, and costs are behaving in real time.

Hosted by Aligne AI in partnership with IBM, this session explores the emerging role of runtime AI governance and why it is becoming a critical component of enterprise AI operations. Attendees will learn how leading organizations are gaining greater visibility into AI activity, strengthening accountability, supporting compliance initiatives, and creating the operational evidence needed to answer important questions from business leaders, auditors, and regulators.

Join us for a practical conversation on moving from policy-based governance to governance that operates continuously alongside your AI systems.

What Attendees Will Learn

  • Why effective AI governance must extend beyond policy frameworks and deployment reviews
  • How runtime monitoring provides visibility into AI interactions, model usage, and autonomous agent activity
  • Ways organizations are strengthening audit readiness through real-time logging and operational evidence
  • How AI cost attribution and intelligent model routing support more sustainable AI adoption
  • Practical considerations for aligning AI operations with governance, risk, and compliance objectives
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