Sales teams used to worry about whether their AI agents actually worked. Now they have to worry about whether the buyer on the other side of the deal already ran the vendor’s claims through an AI fact-check and found them wanting. New research on B2B buying behavior shows that scrutiny is no longer occasional, it is now a standard step in the purchase process, and CRM vendors are starting to answer it by building governance and proof directly into their agentic products rather than leaving it to a slide in the pitch deck.
Buyers Are Already Auditing the Pitch
The AI Revenue Institute (AIRI), a new research and education organization focused on how AI is reshaping B2B revenue, launched this week with a survey of 521 U.S. purchasers and purchasing influencers. The findings describe a buyer who no longer takes a vendor’s claims at face value: 62 percent said they use AI to fact-check vendor claims against public sources, and 56 percent said they removed a vendor from consideration after AI surfaced a discrepancy. More than half, 54 percent, said senior executives had used AI to question a sales team’s own vendor recommendation, and 91 percent said they were likely to use AI to search for alternative vendors at contract renewal.
“B2B buyers are moving much faster than sellers in leveraging AI in the purchasing process,” said Casey Freymuth, AIRI co-founder and managing director. Khali Henderson, AIRI’s co-founder and editor-in-chief, framed the harder problem for vendors: “Showing up in AI-assisted search is only the first and lowest hurdle.” The report calls this a revenue insights gap, sellers rarely know what an AI tool told their buyer about them, or when a claim in a proposal has already been quietly checked and discounted before the call even starts.
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Vendors Respond by Building Proof Into the Product
Pegasystems is one of the first CRM and customer engagement vendors to answer that pressure with a product change rather than a messaging change. The company announced general availability of Pega Customer Engagement Studio, a set of agentic and automation tools inside Pega Customer Decision Hub that let marketers design campaigns in natural language while the system checks the work against embedded compliance policy before anything goes live. Alongside it, Pega announced a partnership with Gryphon, a contact governance platform used across financial services, insurance, healthcare, retail and communications to manage TCPA, DNC, TSR and FDCPA compliance.
“Enterprises can’t afford to treat AI governance as an afterthought,” said Rob Walker, general manager of 1:1 customer engagement at Pega. “This expansion of our responsible AI capabilities gives our clients the ability to move faster with AI while helping ensure every decision is transparent, compliant, and accountable.” Gryphon CEO Clay McNaught put the partnership’s logic in similar terms: “Pega and Gryphon share a foundational belief: that AI-powered customer engagement must be both intelligent and responsible, all the way through to delivery.” Pega’s own announcement cited EY survey data showing only a third of companies have responsible AI controls in place despite nearly three-quarters having AI integrated into initiatives across the organization, the exact gap AIRI’s buyer research suggests is now getting audited from the outside.
The Compliance Layer Becomes a Selling Point
What makes this notable is where the governance work sits. Gryphon’s integration includes an optimization engine that identifies legally valid audience exemptions and state-specific suppression rules, plus a revenue calculator that quantifies the financial exposure of over-suppressing a contact list against the legal exposure of under-suppressing one. That is a commercial argument, not just a legal one: the same governance layer that keeps a campaign compliant is now framed as protecting revenue that would otherwise be left on the table or spent on fines. It is a sign that compliance tooling is migrating from the legal department’s checklist into the product a revenue team actually buys.
What It Means for the Sales Leader
A prospect who has already run your last three case studies through an AI fact-checker is a different buyer than the one reps were trained to handle two years ago. Sales leaders should assume any hard number in a deck, adoption rate, ROI multiple, customer count, will get checked against a public source before the follow-up call, and that a mismatch does not just cost credibility on that one claim, it can remove the vendor from the shortlist entirely, per AIRI’s 56 percent figure. RevOps and enablement teams that maintain the claims library now have a governance job as much as a content job: every stat in circulation needs a citable, current source attached to it, not just a slide number that traces back to a two-year-old case study.
The same logic applies to renewal. With 91 percent of buyers likely to use AI to search for alternatives at renewal time, account teams can no longer treat the renewal conversation as a formality. The AI-assisted buyer is already comparing the account’s actual usage and outcomes data against what competitors claim, before the renewal call is even scheduled.
How to Get Ahead of It
Two moves are available now, and they mirror what Pega and Gryphon just built into their own product. First, treat every claim used in sales and marketing collateral the way a compliance team treats a regulated disclosure: source it, date it, and be ready to show the work if a buyer asks where a number came from. Second, stop treating governance and audit features as a back-office cost center and start selling them, the same way Gryphon’s revenue calculator reframes suppression compliance as a revenue-protection tool. A CRM platform’s agentic AI depth is already showing up in analyst evaluations, and buyer-side AI scrutiny is quickly becoming just as consequential a filter as any analyst report, applied deal by deal, all year round. Vendors and delivery teams that have already had to prove their AI claims once, in the chokepoint that AI delivery partners now face on trust, have a head start on a scrutiny problem that is about to become universal.
Source: Pega
