Agentic AI and the Future of Autonomous Enterprise Work

Transform enterprise operations through intelligent, autonomous agents built for scale, governance, and measurable impact – A whitepaper by AWS and Xebia.

This whitepaper, developed by AWS and Xebia offers a clear, actionable definition of Agentic AI—what it is, what it’s not—and introduces a practical framework for integrating agent-based workloads into existing enterprise environments.

Designed for CIOs, operational leaders, and transformation teams, it supports those looking to move past automation pilots and toward scalable, governed execution systems.

What’s Inside

• A precise definition of Agentic AI—and where it diverges from automation
  Learn how autonomous agents differ from bots, RPA, and copilots, and why that distinction matters for enterprise architecture and accountability.
• A readiness model to evaluate integration potential
  Use a structured L0–L4 maturity framework to assess systems, governance, and process complexity—helping you identify where agents can be deployed effectively.
• A starting-point framework for Agentic AI workloads
  Get a blueprint for embedding agentic systems into real-world business workflows, with defined scopes, policies, and escalation paths.
• Industry use cases tied to measurable outcomes
  See how banking, government, retail, and healthcare organizations are applying agents to reduce backlog, increase compliance, and accelerate throughput.
• Case examples from Rocket Mortgage, Formula 1®, and others
  Understand how leading enterprises are achieving 40–80% improvements in resolution time and decision accuracy using agentic execution layers.