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Fiserv and Stuut bring agentic AI to enterprise receivables, targeting $2B in collected B2B invoices

Fiserv's Commerce Hub and SnapPay are integrating Stuut's AI agent to enhance the automation of their order-to-cash workflow. The AI agent has already processed over $2 billion in B2B invoices, demonstrating its capabilities in enterprise receivables. This integration aims to streamline and improve efficiency in invoice collections.

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By MarketScale Newsroom · FiservStuut TechnologiesAgentic AiAccounts Receivable
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Fiserv and Stuut bring agentic AI to enterprise receivables, targeting $2B in collected B2B invoices

Key takeaways

01

Stuut's AI agent has processed over $2 billion in B2B invoices, showcasing its effectiveness.

02

The integration aims to automate and enhance the order-to-cash workflow for enterprises.

03

Fiserv's partnership with Stuut involves their Commerce Hub and SnapPay platforms.

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Stuut Technologies' AI agent has processed more than $2 billion in B2B invoices since the company launched in 2024. Now Fiserv is betting that track record can scale across the enterprise finance market. The Fortune 500 payments company announced a strategic partnership with Stuut on August 5, 2026, linking its Commerce Hub global payments platform and SnapPay order-to-cash solution with Stuut's agentic AI to automate what remains one of the most manual corners of corporate finance: accounts receivable.

The announcement, made via GlobeNewswire, targets the persistent inefficiencies in B2B collections workflows, where finance teams routinely juggle disconnected systems for collections, cash application, dispute management, and deduction processing. The combined offering positions Commerce Hub as the payment processing foundation for Stuut's platform, while SnapPay absorbs Stuut's automation layer to run AR and B2B payment workflows end-to-end.

How the integration is structured

Commerce Hub handles the payment rail, routing and settlement while Stuut's AI agent sits above it, executing the workflow logic: chasing collections, applying cash against open invoices, managing credit decisions, flagging disputes, and processing deductions. SnapPay, Fiserv's existing order-to-cash product, becomes the operational layer where Stuut's automation runs inside the Fiserv environment.

Critically, Stuut is designed to work inside existing ERP deployments rather than replace them. The platform integrates with SAP, Oracle, NetSuite, and Microsoft Dynamics 365, which matters for any enterprise finance team that has spent years customizing its ERP configuration and cannot absorb a rip-and-replace project. According to the company announcement, deployments are measured in days, not months.

An AI agent that has already collected $2 billion in B2B invoices is not a pilot: it is a production system, and Fiserv's distribution puts that capability in front of a much larger enterprise customer base.

The agentic AI component is the functional differentiator. Unlike rule-based automation, Stuut's agent is described in the announcement as learning customer payment behavior over time, adjusting its approach to collections and cash application as it accumulates data on how specific buyers pay. That adaptive logic is what the companies argue separates the offering from older robotic process automation approaches that break when invoice formats or payment terms change.

Why Fiserv moved on this now

Jackson McIntosh, SVP of Payments Value Added Services at Fiserv, framed the deal around two pressures finance leaders know well: customer experience and working capital optimization. Those goals often pull in opposite directions in AR, where aggressive collections can damage buyer relationships and soft collections erode cash flow. An AI agent that calibrates its behavior per customer is one approach to threading that needle without adding headcount.

Stuut is a young company, founded in 2024, but its investor base is not speculative. Andreessen Horowitz, Khosla Ventures, and Activant Capital are all named backers, according to the GlobeNewswire announcement. That backing, combined with the $2 billion in processed invoices, gave Fiserv enough evidence of production-readiness to formalize the partnership rather than run a limited pilot.

Tarek Alaruri, Stuut's CEO and co-founder, pointed to the distribution advantage the deal unlocks. Stuut gains access to Fiserv's existing enterprise client relationships and payments infrastructure; Fiserv gains an AI-native AR automation capability it did not build internally. For both sides, the partnership compresses the time to market.

What finance operations leaders need to evaluate

For a VP of Finance or CFO assessing this, the operational question is straightforward: does the Stuut agent fit inside the ERP stack already in place, and does Commerce Hub align with existing payment rails? Both are evaluable quickly given the stated ERP integrations and Fiserv's broad payment network coverage.

The working capital angle carries more weight than it might appear. Days sales outstanding (DSO) reductions compound across a quarter: a finance team running $500 million in annual receivables and cutting DSO by even two days frees meaningful liquidity without new credit facilities. That is the operational case Stuut is making, and the $2 billion in collected invoices is the closest thing to a public proof point available before the Fiserv partnership reaches enterprise scale.

  • Confirm ERP compatibility: Stuut currently integrates with SAP, Oracle, NetSuite, and Microsoft Dynamics 365. Map your ERP version and customization depth before engaging.
  • Scope the payment processing fit: Commerce Hub serves as the payment backbone. Assess whether your current payment rails and Fiserv's network coverage align before assuming a clean integration.
  • Benchmark your current DSO and manual AR headcount: the business case for this partnership rests on DSO reduction and labor displacement. Have those baselines documented before any vendor conversation.
  • Ask about implementation timelines: the announcement references deployments completed in days. Validate what that means in the context of your ERP configuration and data volumes.

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