The SaaS Product Leader's Guide to Agentic AI


A practical guide for SaaS product leaders building agent-ready products. Learn which workflows actually belong to AI, who's accountable when an agent goes wrong, and how to avoid the MCP shortcut that fails at scale.

The board wants AI on the roadmap. That part isn't up for debate anymore.

What's still unsettled is everything underneath it: which workflows actually belong to AI, who's accountable when an agent gets something wrong, and whether your MCP strategy is a governed foundation or a thin wrapper waiting to fail.

This isn’t a feature decision. It’s an infrastructure decision. This ebook walks through the decisions that matter before you write a single line of agent code.

Here's what you'll learn:

  • The three questions to answer before you build an agent (not after)
  • Why "should we have AI?" is the wrong question, and what to ask instead
  • The MCP mistake that's about to repeat the API era's biggest shortcut
  • How to tell an orchestration-first workflow from an agentic-first one (and why most real workflows are both)
  • A six question checklist to pressure-test your agentic AI strategy before it hits the roadmap
  • What agentic AI looks like in production, not hypothetically