To Scale AI Agents Successfully, Think of Them Like Team Members.

The article focuses on the challenges and best practices for scaling agentic AI—AI systems capable of reasoning, planning, and taking actions within enterprises—by treating them like team members rather than turnkey software. It identifies four key organizational frictions: establishing distinct digital identities and scoped permissions for AI agents; ensuring reliable, authoritative data context to prevent operational errors; implementing deterministic controls to manage the probabilistic nature of AI outputs; and maintaining accountability through transparent audit trails and clear ownership. The authors recommend a gradual increase in AI autonomy, supported by governance structures that align agent roles, permissions, and human oversight with organizational risk and compliance requirements. Successful deployment depends more on organizational readiness and control frameworks than on technical installation alone. [Extracted from the article]