AI agent strategy playbook: How to run agents at enterprise scale
Learn how teams move AI agents from pilots to production with the right operating models, governance, and orchestration strategies.
What's inside the guide
If you’re under pressure to move AI agents beyond pilots and isolated wins, this playbook helps you understand what changes when agents need to operate reliably across the business.
Understand the four common ways enterprises are operating agents today: custom-built agents, off-the-shelf copilots, embedded SaaS features, and platform-led orchestration, and how they interact as teams scale.
You’ll learn how governance, integration depth, ownership, and reuse become constraints as agent usage expands and use case complexity increases, and why orchestration becomes essential to keeping systems reliable, secure, and cost-controlled.
How this guide helps
- Understand where early agent wins break down: Learn what changes when agents move from isolated success to operating across teams, systems, and data.
- Spot the blockers to scale: See how governance gaps, fragmented integrations, unclear ownership, and reuse limitations slow agent adoption even when pilots look successful.
- Evaluate operating models in context: Understand what different agent models are good at, where they fall short, and how they fit together as part of a broader strategy.
- Learn how teams are scaling responsibly: See real examples of teams designing agents to be orchestrated, governed, and reusable without rebuilding everything from scratch.