AI agents are no longer just tools; they are the next dimension of the managed workforce. But while we wouldn't hire a human without a job description, an org chart, or an audit trail, many enterprises are deploying agents with no clear ownership or guardrails.
This session reframes AI governance as Talent Management for the Agent Era. We will move past "policy theatre" to provide a practical operating model for managing agents as digital employees at scale. By treating agents as a "Silicon Workforce”, we simplify complex governance into three technical pillars:
• Identity & Role (The Job Description): Using IAM and system constraints to define what an agent is and isn't allowed to do.
• Observability (The Managerial Layer): Implementing real-time monitoring and logging to provide the "performance reviews" and "conduct oversight" required for autonomous actors.
• Operating Model & Accountability (The Reporting Line): Establishing clear approval, risk, and escalation processes supported by a traceable audit trail to ensure every agent action is secure and compliant.
Through real-world approaches, we will show how to build a governance foundation that supports growth without sacrificing control. Attendees will leave with a blueprint to manage, audit, and scale their AI agents with the same rigor applied to their human teams.
The session is delivered as a conceptual framework supported by practical examples, showing how organisations can move from ad-hoc controls to a coherent governance foundation. If you are building or planning to scale AI agents, this session provides a clear, practical starting point to govern AI deliberately, before complexity and risk outpace control.
Knowledge Prerequisites: Basic familiarity with AI concepts and the use agents in enterprise environments. No prior governance framework expertise is required.