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Best practices for deploying agent controls

Discover how enterprises are using agent policy-as-code to move agents from pilot to production, scale with confidence, and deliver ROI. Join Transcend CEO & Co-Founder Ben Brook and Senior Director of Product Rowan Stewart on October 28 at 9 am PT | 12pm PT.

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Webinar by Transcend: "Best practices for deploying agent controls & decision APIs" and "How enterprises are using agent policy-as-code to accelerate AI." Features speakers Ben Brook, Rowan Stewart, and host Adrian Fine.

Most companies have built their agents. What they can't answer yet is the question that gets those agents into production: Can my agent do this, for this purpose, right now?

Security won't approve an agent without knowing what it will do. Platform teams are managing agents across different stacks. Governance teams have policies but no way to apply them when an agent takes an action, or to show what happened afterward. So agents stay in the sandbox, and every new deployment waits on manual review.

Join Transcend's Ben Brook, CEO & Co-Founder, Rowan Stewart, Senior Director of Product, and moderator Adrian Fine, Head of Product Marketing, to see how Transcend Rails, our agent policy-as-code platform, checks every action an agent proposes before it happens.

You'll leave with:

  • A clear read on where your agent program stands today, using a five-stage agent maturity model, and what it takes to reach the next stage
  • A practical way to decide what each agent may do, by action and by purpose, with an owner and an audit trail your security team can sign off on
  • Lessons from early deployments, including how a digital media company let agents work on live content without write access, and how a consumer brand set spend policies that limit agent token usage
  • A framework for measuring agent ROI: agents moved from pilot to production, review time recovered, and spend brought under control

This session is for CIOs, AI transformation leaders, platform engineering teams, and security leaders responsible for getting agents out of pilot and into production.

Leave with a practical roadmap for moving AI agents from pilot to production.

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