A Practical Guide to Agentic AI Transition in Organizations
The definitive guide for moving from basic AI tools to autonomous agent systems.
Deep Dive
A new research paper from 17 authors provides a practical framework for organizations to transition from basic, human-centered AI tools to fully autonomous 'agentic AI' systems. The guide addresses key challenges like scaling beyond experiments, integrating business knowledge, and establishing sustainable human-AI collaboration models. It proposes a human-in-the-loop operating model where teams orchestrate multiple AI agents to automate substantial portions of manual workflows while maintaining oversight and control.
Why It Matters
This provides the missing playbook for companies to finally scale AI automation beyond isolated experiments into core business operations.