Webinar Description
Key Takeaways
- Addresses the governance gap preventing AI agents from moving beyond sandbox environments into production
- Introduces a five-stage agent maturity model for assessing organizational readiness
- Covers policy-as-code approaches for controlling agent actions with audit trails
- Designed for CIOs, platform engineering teams, AI transformation leaders and security leaders
- Includes case studies from digital media and consumer brand deployments
The Agent Deployment Challenge
Organizations building AI agents face a common bottleneck: security teams cannot approve agents without understanding what actions they will take, platform teams struggle to manage agents across different technology stacks, and governance teams lack mechanisms to enforce policies at the moment an agent acts. The result is agents remaining in sandbox environments while each new deployment awaits manual review.
Policy-as-Code for Agent Governance
This webinar examines how decision APIs can check every action an agent proposes before execution. The session covers how to define what each agent may do by action and purpose, with designated owners and audit trails that satisfy security requirements. Transcend’s agent policy-as-code platform, Transcend Rails, serves as the reference implementation.
Maturity Model and ROI Framework
Attendees will learn a five-stage agent maturity model for assessing where their agent programs currently stand and identifying requirements for advancement. The session also presents a framework for measuring agent ROI based on agents moved from pilot to production, review time recovered and spend brought under control.
Deployment Case Studies
The webinar draws on lessons from early deployments. One example involves a digital media company that enabled agents to work on live content without write access. Another covers a consumer brand that implemented spend policies limiting agent token usage.
Who Should Attend
This session targets CIOs, AI transformation leaders, platform engineering teams and security leaders responsible for moving agents from pilot environments into production systems.