Why Isn’t AI Helping B2B Technology Companies Close Faster?

Ashish Srimal, cofounder & CEO at Ratio, is a SaaS entrepreneur and executive who has built SaaS startups and led large SaaS businesses.

​Just a year ago, AI vendors were closing enterprise deals in a single demo. Today, those same deals can take six months or longer (registration required), according to a vendor cited by the Wall Street Journal.​

The single-demo close was never normal. It was a brief window when enterprise buyers suspended their usual discipline because the technology felt unmissable.

Now that window has closed. Business-to-business (B2B) tech companies are back to behaving like they always have: deliberately, skeptically and with finance in the room for every significant decision.

Meanwhile, organizations believe AI is more capable than ever. A 2026 Gartner survey found that 80% of CEOs believe AI will force operational overhauls in their organizations. As a Gartner analyst put it: “AI is not simply another layer of automation. It is a catalyst for rebuilding the enterprise itself.”

So if AI is so powerful, why isn’t it helping companies close faster?

The Gap That’s Breaking Your Sales Team​

AI is likely already inside your sales workflow. Reps are using it to qualify leads, personalize outreach and coach themselves on calls. The investment is real, and the results at the initial sales stages are genuine.

But watch what happens the moment a deal crosses from conversation into closing.

Pricing is not straightforward: discount negotiations internally and externally have very little science behind them. The billing question, annual or monthly, bounces between teams for two weeks, not to mention the negotiation with the customer.

There are many reasons deals slow down: budget pressure, skeptical CFOs, vendor fatigue. But those forces do not break deals on their own. They expose where deals were already broken, and it is almost always in the closing motion.