Overview
- Enterprises are treating agentic AI as non-human principals under zero trust frameworks, using dynamic policy decision points to continuously evaluate context and permissions
- Orchestration and observability layers are being implemented to monitor agent actions across APIs and workflows and enforce compliance in real time
- CIOs are rolling out human-in-the-loop and human-at-the-helm governance models to enable manual intervention for complex or high-risk autonomous decisions
- Companies are investing in digital fluency by training teams in prompt engineering, agent supervision and multi-agent orchestration to safely scale deployments
- Pilot projects span finance compliance monitoring, manufacturing supply chain optimization, HR talent management and sales personalization with plans for broader autonomous agent rollout