An AI Agent Decision Framework
A strategic guide for identifying when to use AI agents, how to evaluate their capabilities, and how to avoid common pitfalls - helping you deploy agentic AI where it truly creates value.
As AI agents continue to dominate the enterprise conversation, many organisations are struggling to separate substance from hype. The lack of clear definitions, inflated vendor claims, and overuse of the “agent” label have made it difficult to know when agents are truly needed, and when simpler solutions would be more effective.
This e-book provides a practical decision framework to guide your AI agent strategy. It defines key terms (AI agent vs AI assistant vs agentic AI), introduces a capability-based model for evaluating agency levels, and helps you pinpoint the “sweet spot” where agents outperform traditional automation.
You’ll also learn when not to use agents, and what limitations to watch for. By making smarter, more grounded decisions, you can cut through the noise, avoid agent-washing, and unlock the real potential of AI agents, without wasting time, money, or trust.