In today’s B2B landscape, customers don’t want another vendor. They want a partner. Someone who understands them, adds value beyond the product, and can be counted on when the stakes are high.

In short, they want a trusted advisor.

But here’s the truth: Trust isn’t built on personality. It’s built on consistency, insight, and intent. And now more than ever, AI can help salespeople accelerate that journey.

Let’s explore how through one of the most practical frameworks for building trust: The Trust Equation, developed by David Maister.

Trust = (Credibility + Reliability + Intimacy) / Self-Orientation

This isn’t just a theory—it’s a practical guide. And with the right AI tools, every part of this equation becomes more actionable and scalable.


Credibility: Show Up with Insight

You build credibility when your customer sees you as knowledgeable and competent.

How to build it:

How AI helps:


Reliability: Do What You Say, Every Time

Reliability is about consistency. It’s about following through.

How to build it:

How AI helps:


Intimacy: Make It Human

This is the emotional side of trust—the feeling that you understand your customer and genuinely care.

How to build it:

How AI helps:


Self-Orientation: Make It About Them

This is the multiplier—or the limiter—of trust. The less you make it about yourself, the more trust you earn.

How to build it:

How AI helps:


The Trusted Advisor Advantage

Becoming a trusted advisor isn’t just a relationship strategy. It’s a competitive edge.

You shorten deal cycles. You get invited earlier into strategic planning. You reduce churn. You move from price-based selling to value-based selling.

And now, with the right AI tools, building trust is no longer about working harder—it’s about working smarter.

Start small. Choose one part of the Trust Equation. Pair it with one AI tool. And start showing up in a way that earns trust, one conversation at a time.