AI doesn’t always deliver revenue or cost benefits to a business. The tools exist, and they work. What most companies are missing is a clear playbook for adopting them.

I've spent more than a decade in sales and customer success, and I'm currently leading a global scaled CS transformation. I've seen AI rollouts succeed and fail, and the difference usually comes down to how the team implemented the tool.

If your company has just bought an AI tool for your CS team and you're wondering what to do next, this article is for you. It applies to a ten-person startup and a global enterprise alike, because complexity matters more than size. And you can start on everything here within the next 24 hours.

It comes down to four rules. Follow all four, and you'll see a return on your investment.

Rule 1: Build AI literacy and standards first

In my experience, AI literacy comes down to three questions:

  • Does your team understand what AI is there to do? Just as important, do they know where the human element still matters? Without that clarity, you'll see inconsistent adoption and confusion about when to trust the output and when to override it.
  • Can they prompt well? Quality in, quality out. What your team gets from any AI tool depends on what they put in, so make sure everyone has the fundamentals of prompting.
  • Do they know exactly where AI fits in their daily workflow? Get specific. It's Monday morning, and they're about to join their first customer call. Where does AI come in?

Ask your CSMs these three questions today. If they can't answer clearly, you have a literacy gap, and no amount of automation will fix it.

This is where most organizations skip ahead. They buy the licenses, run a one-hour onboarding, and then wonder why adoption is sitting at 10%. Literacy is a standard you set with your team and keep maintaining; one course won't cover it.

AI for Customer Support Leaders 2026 Report

Example: How AI standardized our success plans

Everyone wants high-quality success plans built around customer objectives. Here's how my team got there.

Before:

  • Calls went unrecorded
  • Notes were written from memory, sometimes days later
  • Customer knowledge lived in people's heads
  • The quality of a success plan depended entirely on which CSM wrote it