Artificial intelligence (AI) is transforming sales across the B2B ecosystem, but not the way companies think.
While CEOs talk about AI’s impact across automated outreach, predictive pipelines and agents that can draft proposals in seconds, what is vanishing isn’t friction but the B2B sales process itself.
Procurement leaders inside large organizations are faced with a declining volume of formal request for proposals (RFPs) and vendor calls that are happening later in the process, if at all. It’s not that decisions are speeding up for procurement leaders, but the purchasing decision itself is frequently already made before the sale details ever reach their desk.
Procurement teams equipped with AI-driven tools can now independently conduct market scans, compare vendors, evaluate pricing benchmarks and even simulate negotiation scenarios. What once required weeks of vendor engagement can now be executed in hours without a single sales call.
This transition from seller-led narratives to model-led decisions may fundamentally alter the role of sales.
Read also: It’s Contract Renewal Season, Are Your B2B Payment Strategies Ready?
Advertisement: Scroll to Continue
The Rise of Zero-Touch B2B Buying
For decades, procurement functioned as the institutional backbone of B2B commerce. It imposed order on a messy landscape of vendors, claims and pricing models by creating checkpoints that ensured decisions were deliberate and defensible. Just as importantly, it created access.
Sales teams knew where to enter the organization, who controlled budgets, and how decisions would unfold. Procurement was not just a control mechanism; it was a map.
That map is now out of date. The conditions that made procurement and sales checkpoints indispensable, like limited information, opaque pricing and high uncertainty, have been increasingly eroded by digital tools.
PYMNTS Intelligence data in the report, “The Investment Impact of GenAI Operating Standards on Enterprise Adoption,” a PYMNTS Intelligence study produced in collaboration with Coupa, shows that 75% of companies are now considering using AI in procurement.
In this emerging procurement landscape, access is determined less by relationships and more by data compatibility and system integration. Procurement AI relies on structured, reliable and comparable data. Vendors that provide clear pricing models, standardized specifications, performance metrics and interoperable data formats are far more likely to be included in automated evaluations.
“The friction points tend to be in the operational environment,” Rene Stynen, senior vice president, EMEA, B2B Payments at Boost Payment Solutions, told PYMNTS. “Supplier enablement, onboarding complexity and the amount of data gathering required. Those things can become quite complex.”
We’d love to be your preferred source for news.
Please add us to your preferred sources list so our news, data and interviews show up in your feed. Thanks!
“There are expectations both on buyer sides and supplier sides for things to become a little bit more digital and automated,” Stynen added.
See also: Agentic Commerce Finds Traction in B2B Payments
The End of Information Asymmetry
A central pillar of traditional B2B sales has been information asymmetry. Sellers often possessed deeper knowledge about their products, pricing structures and market alternatives than buyers, enabling them to guide, and sometimes control, the decision-making process.
AI effectively eliminates this asymmetry. Procurement teams now have access to aggregated market intelligence, real-time pricing benchmarks, peer reviews and predictive analytics. They can test assumptions, validate claims and explore alternatives without relying on vendor input.
As a result, the informational advantage that once justified extensive sales engagement has eroded. Vendors are no longer primary sources of insight; they are data points within a broader analytical framework. Tools that aggregate vendor performance data, simulate ROI scenarios and flag implementation risks are becoming embedded in everyday workflows. Instead of asking vendors for information, buyers are querying systems that already contain it.
And as routine decisions become increasingly automated or self-directed, the role of sales may shift toward exceptions—complex deployments, cross-functional alignment and bespoke solutions that cannot be easily standardized. The center of gravity moves from selling to enabling.
Additionally, on the buyer side, by the time procurement is involved, its role is often reduced to validation: checking compliance, finalizing contracts and processing payment.
Still, AI in procurement is in its early innings, and there remains a lot of time on the game clock.
“If you’re going to experiment with agentic AI or any type of AI solutions, you want to focus on two things. One is the area where you’re most likely to have success. And two, is there going to be a good return on that investment?” WEX Chief Digital Officer Karen Stroup told PYMNTS in an earlier interview.
For all PYMNTS AI and B2B coverage, subscribe to the daily AI and B2B Newsletters.
