Casap Revolutionizes Financial Dispute Management Through Agentic AI Innovation

For decades, the financial services sector has operated under a burdensome status quo regarding payment disputes. Traditionally, resolving a chargeback or a fraudulent transaction has been a labor-intensive, opaque, and costly process, often dragging on for as long as 90 days. This timeline places significant strain on financial institutions, which must navigate complex regulatory environments like Regulation E and Regulation Z, while simultaneously damaging the customer experience. However, a seismic shift is underway. Casap, an AI-native dispute and fraud management platform, has emerged as a leader in this transformation, leveraging agentic AI to collapse resolution timelines from months to mere days.

Recognized as the AI Company of the Year at the 2026 Tearsheet AI Innovation Awards, Casap is setting a new standard for how credit unions and banks approach back-office operations. By deploying autonomous agents that handle everything from initial claim intake and evidence gathering to fraud detection and final chargeback filings, the platform is proving that the future of financial operations is not merely automated, but intelligent.

The Anatomy of a Broken System: The Case for AI Intervention

To understand the magnitude of Casap’s impact, one must first recognize the inherent flaws in legacy dispute systems. Financial institutions have long relied on fragmented workflows, where data is siloed across disparate legacy systems. In such environments, an investigator acts less like a detective and more like a data entry clerk, manually pulling information from various sources to build a case. This fragmentation makes it nearly impossible to detect sophisticated first-party fraud—where a customer falsely claims a transaction was unauthorized—before a provisional credit is issued.

The traditional approach is reactive, labor-intensive, and prone to human error. When an institution is manually managing thousands of claims, the overhead costs per claim skyrocket, and the ability to maintain a granular, compliant audit trail becomes a logistical nightmare. Casap was engineered specifically to solve this structural failure. Rather than retrofitting AI onto existing legacy infrastructure, the platform was built from the ground up as an AI-native engine. By functioning as an investigative agent that possesses a comprehensive view of the account history, transaction patterns, and regulatory requirements, Casap eliminates the friction that characterizes the legacy dispute lifecycle.

Measurable Success: The Chartway Federal Credit Union Benchmark

The efficacy of Casap’s approach is best illustrated through its deployment at Chartway Federal Credit Union. Facing the common industry pressure of balancing customer satisfaction with the need to minimize fraud losses, the credit union integrated Casap’s platform to overhaul its dispute operations. The results were statistically significant.

Prior to the implementation, Chartway’s average resolution time for disputes hovered around the industry standard of three months. With Casap, that window was compressed to just 12 days. Beyond speed, the financial impact was profound:

• Cost Reduction: Per-claim operational costs plummeted by approximately 90%.
• Risk Mitigation: Write-offs were reduced by 72%, directly improving the institution’s bottom line.
• Operational Efficiency: Chargeback win rates improved by 95%, suggesting that the AI-driven evidence gathering is substantially more effective at documenting cases for card network adjudication than human manual processes.
• Fiscal Impact: The credit union realized $875,000 in direct savings within the first year of operation.

These metrics provide a compelling case for the scalability of agentic AI. As financial institutions grapple with narrowing margins and rising fraud rates, the ability to automate the "heavy lifting" of dispute management allows human teams to focus on high-value, high-risk cases that truly require human judgment.

The Shift from Reactive Workflows to Proactive Intelligence

Shanthi Shanmugam, CEO of Casap, emphasizes that the platform’s strength lies in its ability to handle both the technical and compliance dimensions of dispute management simultaneously. "We built Casap with agentic AI from the ground up, including the first publicly available dispute model and API," Shanmugam noted. "It works more like an investigator who already has everything in front of them."

A critical component of this intelligence is the proprietary predictive win score and first-party fraud score. These models analyze institution-specific data to determine the confidence level of a claim. When the confidence level is high and the case is straightforward, the system can issue an instant provisional credit, providing the consumer with immediate resolution. Conversely, when the system detects anomalies—such as a serial bad-faith disputer or a high-risk transaction—it flags the claim for human review.

This "human-in-the-loop" design ensures that automation does not come at the expense of accountability. In a regulatory environment where examiners may revisit claims months or years after the fact, Casap provides a comprehensive, centralized case record. This digital paper trail includes the original claim, all collected transaction history, the rationale for the AI’s decision, and a log of all customer communications. This level of auditability ensures that financial institutions remain compliant with Reg E, Reg Z, and NACHA rules, even as they scale their automation capabilities.

Redefining the Customer Experience: The Intake Revolution

While most industry attention has focused on back-end processing, Casap is also tackling the "front-end" of the dispute lifecycle. The consumer’s first interaction with a financial institution during a dispute is often the most stressful. Traditional, static forms can be confusing, often leading to incomplete information and further delays.

Casap’s intake process is adaptive and conversational. By engaging the customer in a digital dialogue, the platform can often resolve the dispute before a formal claim is even filed. For example, the system can help a user recognize a transaction—perhaps a recurring subscription they forgot about—or guide them to resolve the issue directly with a merchant. This reduces the administrative burden on the bank and provides the customer with a more seamless, transparent experience.

Transparency is increasingly becoming a competitive differentiator. With "opaque timelines" cited as a leading cause of customer churn, providing real-time updates through a dispute tracker is not just a service enhancement—it is a critical retention strategy.

Implications for the Future of Financial Services

Looking toward the next three years, the landscape of dispute management is poised for a total transformation. The current model, which is predominantly reactive, is shifting toward a paradigm of "proactive risk intelligence."

In this future state, fraud scoring will occur continuously across the entire customer lifecycle, rather than being triggered only when a dispute is filed. This evolution will likely democratize access to high-end fraud prevention tools. Smaller financial institutions, which previously lacked the resources to develop bespoke AI models, will be able to leverage platforms like Casap to achieve the same risk-reduction capabilities as major global banks.

The broader implications of this shift are twofold. First, it marks a maturation of agentic AI in regulated environments. By proving that high-stakes financial workflows can be automated with precision and full auditability, Casap is lowering the barrier for AI adoption in other complex banking sectors, such as loan underwriting and compliance monitoring. Second, the success of these platforms suggests that the "human vs. machine" debate is being replaced by a "human-plus-machine" partnership.

As institutions on the Casap platform continue to report significant reductions in fraud losses—in some cases cutting them in half—the economic imperative to adopt agentic AI will become unavoidable. The 2026 Tearsheet AI Innovation Award serves as an industry acknowledgement that the era of manual, multi-month dispute resolution is coming to an end. For the consumer, this means faster access to their funds and greater transparency; for the financial institution, it represents a path toward operational excellence in an increasingly complex and digital-first financial world.