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Fiserv and Stuut's agentic AI partnership targets the $2B+ B2B invoice backlog in enterprise order-to-cash

Fiserv is collaborating with Stuut to address the backlog in B2B invoices through the integration of Stuut's AI technology with Fiserv's Commerce Hub and SnapPay. The initiative targets the enterprise order-to-cash space, aiming to enhance automation in processing receivables. This partnership aims to improve efficiency and reduce processing times within large enterprises.

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By MarketScale Newsroom · FiservStuut TechnologiesAgentic AiAccounts Receivable
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Fiserv and Stuut's agentic AI partnership targets the $2B+ B2B invoice backlog in enterprise order-to-cash

Key takeaways

01

Fiserv is partnering with Stuut to integrate AI technology into its systems.

02

Stuut's AI has processed over $2 billion in B2B invoices.

03

The partnership focuses on automating receivables in the enterprise order-to-cash process.

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Fiserv has partnered with Stuut Technologies to wire agentic AI directly into enterprise accounts receivable, according to a company announcement published August 5, 2026, via GlobeNewswire. The deal connects two of Fiserv's core platforms, Commerce Hub and SnapPay, with Stuut's AI agent, which has already processed more than $2 billion in B2B invoices since the startup's 2024 founding.

The partnership targets one of the most manual-intensive corners of enterprise finance: the order-to-cash cycle. Collections, cash application, dispute resolution, and deduction management have historically required significant staff hours and are prone to errors when handled through fragmented, spreadsheet-driven workflows. For CFOs and treasury leaders, the pain shows up as elevated days sales outstanding and unpredictable cash flow visibility.

How the integration is structured

Under the agreement, Commerce Hub, Fiserv's global payments platform, will function as the payment processing foundation inside Stuut's environment. SnapPay, Fiserv's order-to-cash product, will incorporate Stuut's automation layer to handle B2B payment workflows and AR processes for enterprise clients. The combined stack is designed to cover the full receivables lifecycle in one integrated system.

Stuut's AI agent operates within a customer's existing ERP rather than requiring a migration. The platform connects natively to SAP, Oracle, NetSuite, and Microsoft Dynamics 365, and the company says deployments can be completed in days. That low-friction implementation model matters for operations teams weighing the risk of disrupting live financial systems during an integration.

A two-year-old startup processing $2 billion in B2B invoices is the number that tells finance leaders this is no longer a proof-of-concept category.

Jackson McIntosh, SVP of Payments Value Added Services at Fiserv, described the partnership as a combination of payment infrastructure expertise with AI-driven workflow automation, with the stated aim of helping clients cut manual work, support productivity gains, and improve cash flow visibility, according to the GlobeNewswire announcement.

What Stuut brings to the table

Stuut was founded in 2024 by Tarek Alaruri, Adam Chaarawi, and Ben Winter, and has attracted backing from Andreessen Horowitz, Activant Capital, and Khosla Ventures. Its AI agent is designed to learn individual customer payment behavior over time, adapting collections and communication strategies accordingly rather than running static rules. That behavioral learning loop is what differentiates agentic AR platforms from earlier robotic process automation tools that required manual rule updates.

The $2 billion in processed invoices is a meaningful signal for enterprise buyers evaluating vendor stability. At that volume, the platform has encountered a wide range of payment behaviors, dispute types, and ERP edge cases, which typically translates into a more robust model. For procurement and IT leaders assessing new fintech vendors, invoice volume processed is a more actionable benchmark than funding rounds alone.

Tarek Alaruri, CEO and Co-Founder of Stuut, framed the Fiserv partnership as a path to extending the platform's reach to a broader set of enterprise customers, citing the combination of Stuut's AI capabilities with Fiserv's payments scale and infrastructure, per the GlobeNewswire release.

Operational implications for finance and IT teams

For enterprise operations leaders, the most immediate question is whether this partnership changes the evaluation calculus for order-to-cash modernization projects already in flight. It likely does in two ways. First, the Fiserv distribution network significantly expands the number of organizations that could access Stuut's capabilities through existing Fiserv relationships, rather than through a direct sales process. Second, Commerce Hub as the payment layer means organizations already using Fiserv infrastructure face a shorter path to activation.

The platform's scope is broad: collections, cash application, credit decisions, inbound payments, dispute management, and deductions are all within the agent's operational remit. That breadth matters for finance leaders who have historically managed those functions across several point solutions, each with its own vendor relationship and integration overhead.

Finance teams that can activate AR automation without touching their ERP configuration have a fundamentally different risk profile than those running a full platform migration.

What this means for your team

  • Assess your current SnapPay or Commerce Hub footprint: organizations already running either Fiserv platform should evaluate whether the Stuut integration is available or roadmapped for their configuration, and request a timeline from their Fiserv account team.
  • Benchmark your DSO against what AI-native AR platforms are delivering: before scoping a modernization project, establish a baseline so you can measure concrete improvement rather than accepting vendor-provided projections.
  • Evaluate ERP compatibility early: Stuut's native connectors for SAP, Oracle, NetSuite, and Dynamics 365 reduce implementation risk, but IT teams should confirm which ERP version and deployment model (cloud vs. on-premise) is supported before committing to a project schedule.
  • Reframe the vendor stability question: for fintech vendors in this category, ask for invoice volume processed and live enterprise deployments, not just investor names, as the primary signal of production-readiness.

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