Agentic AI: What It Is and Why Boards Should Care

Agentic AI combines large language models with other technologies to plan, reason, adapt and act toward human-defined goals with limited supervision. As autonomous systems become more practical, they could transform productivity, customer service, decision making, innovation and workforce capacity. Organizations should manage AI agents like “digital employees,” aligning them with business strategy, policies, guardrails, performance expectations, audits and clear human accountability. They are best suited for complex, evolving problems, while conventional automation remains more effective for precise, repeatable tasks. To address risks such as bias, privacy breaches, unclear accountability, talent gaps, unexpected behavior and workforce disruption, organizations need strong governance, skilled people, responsible oversight and continuous evaluation.

Key Takeaways:

• Recognize the opportunity: Agentic AI can independently plan and complete goal-oriented work while responding to changing conditions.
• Manage AI agents like members of the workforce: Define their responsibilities, values, boundaries, performance measures, learning requirements and corrective processes.
• Strengthen responsible oversight: Use data governance, audits, monitoring, security controls and clearly defined human-intervention rules to address accountability, bias, privacy, control and workforce concerns.
• Ask the right strategic questions: Before deployment, evaluate business fit, talent readiness, governance, success measures, customer impact, regulatory requirements, third-party risks and communication plans.