Fiserv and Stuut Technologies announced a partnership on June 8, 2026, to deploy agentic AI across enterprise order-to-cash workflows. The collaboration targets B2B receivables teams that still rely on manual data entry and fragmented systems, aiming to accelerate cash application and reduce dispute resolution delays.
How the integration works
Fiserv's Commerce Hub will serve as the payment processing backbone for the new setup. SnapPay will host Stuut's automation tools to handle accounts receivable and B2B payment routing. The integrated workflow covers collections, cash application, payment processing, disputes, and deductions. Finance teams at eligible enterprises can begin testing these capabilities once their specific implementation schedules align.
The technology behind the deal
Stuut was founded in 2024 to automate manual order-to-cash tasks that typically require heavy human oversight. Its software agents have now collected more than $2 billion in B2B invoices since launch, reflecting broader interest in AI for Finance solutions that reduce manual ledger work. "By combining Stuut's AI agent with Commerce Hub and SnapPay, we are giving finance teams a next-generation solution to help modernize order-to-cash operations," said Tarek Alaruri, CEO and Co-Founder of Stuut. The platform routes invoice data, tracks payment status, and flags discrepancies without requiring constant manual intervention.
Fiserv plans to scale these features across its existing merchant base as adoption grows. "Together with Stuut, we are combining our payment and receivables expertise with AI innovation, helping our clients streamline order-to-cash workflows, support productivity gains, improve operational efficiency and deliver greater value," said Jackson McIntosh, SVP, Payments Value Added Services at Fiserv. The companies will roll out updates based on client feedback and technical readiness.
Why this matters for finance professionals
Manual receivables processing drains hours from monthly close cycles and creates reconciliation bottlenecks. Automating these workflows lets accountants and controllers shift from data entry to working capital management. Teams applying intelligent automation often see faster dispute resolution and cleaner audit trails. Professionals managing enterprise AR should review how autonomous agents handle deduction matching and cash posting before the next quarter-end.
The shift also changes how finance departments track daily liquidity. Automated payment routing reduces days sales outstanding when configured correctly. Accounting teams interested in building these skills can follow an AI Learning Path for Accountants to understand agent orchestration and exception handling. As payment networks continue embedding machine learning, early adopters will gain a measurable edge in cash predictability.
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