Stampli Deep Finance, announced by the finance operations platform Tuesday (March 31), analyzes invoice data to uncover things like spending patterns, pricing shifts and vendor risks, letting finance departments get insights without cheating reports or consulting with various teams to gain context.
“Every finance leader knows that performance signals are in their financial data. The problem has always been getting them out,” Stampli Co-founder and CEO Eyal Feldman said in a news release.
“Deep Finance solves that by surfacing those patterns, risks, and opportunities. No new tools to learn, no reports to configure. Just a consultant-grade analysis that leaders can review, share, and act on.”
Deep Finance can uncover “savings opportunities, vendor concentration risk, and contract-driven cost increases,” along with other patterns, the release added. Each finding is linked with supporting evidence, financial impacts and recommended actions for finance leaders.
The company says the new tool’s insights are derived from the work Stampli AI does each day across procurement, accounts payable and payments for upwards of 1,800 businesses.
The new offering follows last year’s introduction of Stampli’s Procure-to-Pay software, which provides a single platform that covers purchase requests, purchase order (PO) creation, invoice processing, payments and discussions.
In other procurement related news, PYMNTS wrote earlier this week about the role AI is playing in this field, letting teams 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,” that report said. “This transition from seller-led narratives to model-led decisions may fundamentally alter the role of sales.”
For decades, that report added, procurement served as the institutional backbone of B2B commerce. It imposed order on a fragmented landscape of vendors, claims and pricing models by establishing checkpoints that ensured decisions “were deliberate and defensible,” while also creating 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,” PYMNTS wrote.
“That map is now out of date.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.”
Meanwhile, research by PYMNTS Intelligence and Coupa, from the report “The Investment Impact of GenAI Operating Standards on Enterprise Adoption,” finds that three out of four companies are now considering using AI in procurement.
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