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Enabling critical actions without slowing the business

Enable high-stakes AI actions—moving money, updating systems—securely and fast.

AI only matters when it can take real action—moving money, updating systems, and executing critical workflows. But those are the exact use cases that get stuck. As the stakes rise, so do approvals, controls, and delays. High-value initiatives get buried under custom builds and slow review cycles and turn into long, expensive projects.

The real problem isn’t risk—it’s everything that slows AI from getting to production. This session focuses on how leading teams move from promising pilots to real-world impact so AI delivers revenue and operational results, not just incremental gains. We will show how identity makes this possible, leveraging standardized protocols like MCP (Model Context Protocol) alongside step-up authorization, fine-grained access, and real-time revocation to secure high-stakes actions without slowing execution.

You’ll leave with:

A framework to identify and prioritize high-impact AI use cases
How to enable high-stakes actions without one-off solutions
Strategies to move through approvals faster—without slowing delivery
Ways to maintain accountability without blocking execution

2a:T4ef,Enabling critical actions without slowing the business Enable high-stakes AI actions—moving money, updating systems—securely and fast. AI only matters when it can take real action—moving money, updating systems, and executing critical workflows. But those are the exact use cases that get stuck. As the stakes rise, so do approvals, controls, and delays. High-value initiatives get buried under custom builds and slow review cycles and turn into long, expensive projects. The real problem isn’t risk—it’s everything that slows AI from getting to production. This session focuses on how leading teams move from promising pilots to real-world impact so AI delivers revenue and operational results, not just incremental gains. We will show how identity makes this possible, leveraging standardized protocols like MCP (Model Context Protocol) alongside step-up authorization, fine-grained access, and real-time revocation to secure high-stakes actions without slowing execution. You’ll leave with: A framework to identify and prioritize high-impact AI use cases How to enable high-stakes actions without one-off solutions Strategies to move through approvals faster—without slowing delivery Ways to maintain accountability without blocking execution

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Learn how to use Auth0 Rules

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