Agentic AI in the Enterprise Part 2: Guidance by Persona

This article provides role-specific guidance for enterprise leaders implementing agentic AI, emphasizing that success depends on operating model alignment rather than technology alone.

• Line-of-business owners must tie agents directly to KPIs with written job descriptions and measurable success metrics
• CTOs should standardize agent architecture to support scaling from ten to one hundred agents safely
• CISOs must treat agents as authorized entities with individual credentials, permissions, and audit trails
• Chief data officers should ensure consistent, well-governed data foundations that agents can reliably access
• AI/data science leaders should build automated evaluation systems measuring business outcomes, not just technical metrics
• Compliance officers must design agents with audit trails and keep humans in the loop for high-stakes decisions
• Organizations should convene cross-functional teams, pick one concrete job, map readiness, establish review cadence, and integrate governance into design

Success requires treating agentic AI as an operating model challenge with precise job definitions, deliberate autonomy boundaries, and continuous evaluation rather than one-time projects.