AI Has Guardrails, but Your Sellers Still Need a Standard

Thirty-one percent of Chief Sales Officers say proving AI ROI is their single biggest challenge this year. But only 13 percent of their CEOs believe they’re equipped to do it.

That’s Gartner’s data from their recent CSO conference. And it reflects what I’ve been hearing in my conversations with CROs right now. You’re on a short timeline to prove that AI will make a positive impact, and the Board is starting to lose patience.

The answer every major tech platform is giving right now is governance.

ServiceNow‘s CEO called governance “the whole ballgame” at his company’s conference. Microsoft and Salesforce put it at the center of their AI messaging this year. It has become the universal answer to the revenue leader’s AI ROI question.

I understand why that framing resonates. But I also think it creates a blind spot.

The governance most tech platforms are selling is important. But it solves a different problem than the one CROs should care about.

There are two kinds of AI governance that every CRO must keep in mind.

The first kind (the one most platforms mean when they say “governance”) is about safety and compliance. What AI has access to, what actions it’s allowed to take, and how its outputs are reviewed. Most enterprise deployments need it, and most platforms can meet that need.

The second kind of governance is about methodology. Whether your AI knows what good looks like in a sales conversation. That’s not a problem that any tech platform can solve for you. It’s a leadership decision that most sales organizations haven’t considered.

Both kinds of governance are important, but only one of them is yours to define.

Some organizations will approach this by feeding their AI platform frameworks and playbooks it can draw from. But in that model, the AI still decides which framework applies and how to use it. It can retrieve the right rubric and reach the wrong conclusion, with nothing in the system to catch it.

In a methodology-governed system, the methodology acts as guardrails for the AI’s decision to execute. It will diagnose the conversation, select the right approach, and identify what evidence is missing before the AI responds. Methodology governs what AI executes, not the other way around. That’s what makes the output consistent, regardless of who’s using the tool.

Methodology-governed AI requires a standard grounded in evidence—in what your buyers say shapes their decisions. Not internal opinions, a vendor’s best guess, or best-practice templates.

When you start with a clear standard, you have something specific to point to when the ROI conversation comes up.

We’ve been supporting the most iconic brands in B2B to define the standard for what great selling looks like. If you’re interested in learning more, we’d love to talk.