Volante Agentic AI Drives Straight-Through Processing Rates Over 95%

Volante Technologies added agentic artificial intelligence to its payments platform and its payments-as-a-service (PaaS) operations.

The new Vol360i agentic AI increases straight-through processing rates to over 95%, accelerates exception resolution and proactively manages service level agreement performance, the company said in a Tuesday (June 9) press release.

It is available now to Volante’s banking and financial institutions clients, according to the release.

Vol360i includes Prevent Agents that eliminate failures before they occur, Repair Agents that fix problems in real time, Predict Agents that determine the best possible outcome for each payment, and Sense Agents that stay ahead of risks, the release said.

“The result is a materially better experience for end users and a step-change in operational efficiency for financial institutions looking to compete in an increasingly real-time, always-on payments landscape,” Deepak Gupta, chief product, engineering and delivery officer at Volante Technologies, said in the release.

Vol360i also features a confidence-based operating model that enables financial institutions to begin with assisted decision-making and then expand autonomy based on Vol360i’s performance, per the release.

“For too long, highly skilled operations teams have been trapped in manual exception handling instead of driving strategic value,” Volante Technologies CEO Vijay Oddiraju said in the release. “Vol360i changes that equation by eliminating repetitive work at scale to free up talent for higher-impact decisions, innovation and growth.”

AI-driven systems integrate decisioning into the core processing layer and then continuously evaluate every transaction, applying adaptive logic that evolves over time, Gupta told PYMNTS in an interview posted in April.

At Volante, this transformation is being operationalized through agent-based AI models embedded directly into payment workflows, Gupta said.

“AI is basically accelerating the shift from analysis to real time execution,” Gupta said, adding that tasks that once required human intervention, such as investigating failed payments, identifying anomalies and correcting data, can increasingly be handled automatically.

“You’re going from a human-driven system to an autonomy-based system,” Gupta added, while noting the importance of strict governance boundaries.

The PYMNTS Intelligence and Volante Technologies collaboration “Rewiring Wires: Modernizing CHIPS and Fedwire® for a New Era of Demand” found that there is a need for automation across the full payment life cycle.

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