Why financial dispute management is a smart AI starting point for banks

Banks are using AI to transform financial dispute management from an operational burden into a strategic advantage.

In brief

• The volume of disputed payments continues to rise, placing growing operational risk and financial burdens on banks.
• AI can accelerate dispute resolution times, reduce costs and give pressurized banking personnel time back to focus on customer experience.
• By applying AI to dispute management, banks can transform a once resource draining activity into an opportunity for customer value creation across wider operations.

Executive summary

In the realm of financial disputes, every disputed payment is a moment of truth. When a customer calls the bank about a charge they don’t recognize, they’re not just filing a complaint. They’re testing whether their bank has their back. The way that moment is handled either reinforces the relationship or begins to erode it.

The stakes are significant. Banks can’t afford to lose clients over a financial dispute. Acquiring a new retail banking customer costs US$500 or more.¹ Research shows that roughly 22% of fraud victims close their bank accounts following the experience, even when they were fully refunded.² A financial dispute handled poorly is not just an operational failure. It is a retention event with long-term financial consequences.

Financial dispute management is also well suited to AI-driven transformation. Transaction data and network rules are highly structured. Supporting evidence, customer narratives and exceptions are not. This mix creates clear opportunities for AI to improve speed, consistency and decision quality without sacrificing control.

The cost model is breaking as financial dispute volumes rise

Consumers are making more payments across more channels than ever. On average US consumers now make 48 payments per month, up from 35 in 2020.⁴ Credit and debit cards account for roughly two-thirds of all consumer payments. Pay-by-bank use cases (non-card digital payments directly from bank accounts) are growing rapidly alongside mobile wallets, especially among younger consumers.

More payment options create more friction points. More friction leads to more financial disputes.

Global chargeback volumes (the formal process by which a card transaction is reversed and returned to a consumer) are projected to reach 324 million financial transactions by 2028, a 24% increase from 2025. North America is expected to bear the largest share, with chargeback values forecast to exceed US$20 billion by 2028. In the US alone, more than 100 million chargebacks are expected annually within the next two years.⁵

The operational impact is significant. Many US financial institutions still require one full-time employee for roughly every US$13,000 to US$14,000 in incoming financial dispute value. Average processing costs range from US$9 to US$10 per dispute. For mid-size and large banks, this translates into hundreds of staff and hundreds of millions in recurring expenses.⁶

Compounding the problem are two fraud trends. Friendly fraud occurs when a buyer exploits the chargeback process, disputing a legitimate transaction to obtain a refund they are not entitled to. It is difficult to detect using traditional fraud methods and now represents a substantial share of total dispute volume. Card-not-present fraud has grown alongside e-commerce and digital wallet adoption.

The underlying issue is structural. Financial dispute workflows remain highly manual. As volumes rise, costs scale linearly with headcount.

For every US$1 disputed, institutions absorb an estimated US$4 to US$6 in administrative overhead. That ratio has not improved in a decade.¹ With hundreds of billions of dollars in disputes each year, this implies hundreds of billions in total economic impact across the system.

Why financial dispute management has become a C- level agenda item

For many banks, dispute management sits at the intersection of operations, risk, compliance, customer service and technology. Rising volumes, regulatory scrutiny and customer experience expectations have elevated it from a back-office issue to an enterprise operating challenge.

In fact, COOs are increasingly accountable for balancing cost efficiency, service quality and regulatory resilience across high-volume operations. Financial dispute management exposes the limits of fragmented ownership and manual processes, making it a focal point for operating model redesign and AI-led transformation.

Financial dispute management is becoming a regulatory exposure

Financial dispute handling is no longer just an operational or customer experience concern. It is a regulatory one.

Regulators in the US and Canada have raised expectations for how institutions manage financial disputes and complaints. These expectations cover clear resolution timelines, consistent decision logic, transparent documentation and auditable outcomes.

Recent enforcement actions signal a shift from general guidance to direct scrutiny. Institutions whose dispute handling is slow, inconsistent or difficult to navigate face real regulatory risk.

Manual, judgment-driven workflows make consistency difficult at scale. Automation and standardization are no longer just cost-saving measures. They are becoming foundational to regulatory resilience. AI reduces subjective judgment, flags exceptions and maintains auditable decision logic across high-volume caseloads.

Why financial dispute management is an ideal starting point for AI

Not all banking processes are equally well suited to AI-driven transformation. Financial dispute management is a great candidate for several reasons. Here are the top four:

From manual processing to intelligent financial dispute operations

Financial dispute transformation is not a single leap. Institutions progress through maturity stages.

At early stages, dispute handling is reactive, manual and fragmented. Processes rely on human review, resolution is slow and compliance is largely retrospective.

More advanced institutions introduce standardized workflows and basic case management. Consistency improves, but manual effort remains high and scalability is limited.

At higher maturity levels, AI-assisted triage and automated resolution handle a substantial share of routine disputes. Unified platforms integrate data, decisioning and compliance logic, reducing cost and improving speed.

At the most advanced stage, financial dispute management becomes predictive and dynamic. Institutions identify disputes before customers raise them. AI applies different logic based on the information presented, detecting friendly fraud, coordinating with merchants to streamline evidence and helping customers provide what the bank needs to advocate on their behalf. Explainable AI maintains regulatory confidence at scale.

What intelligent financial dispute management looks like in practice

Intelligent financial dispute management is not about removing humans from the process. It is about redesigning workflows so automation handles repeatable decisions and AI augments human judgment where interpretation is required.

Key capabilities include intelligent intake and triage, automated rules-based decisions for routine disputes, AI-assisted investigation and proactive customer communication. Centralized compliance logic supports the consistent application of evolving regulatory and network requirements across all cases.

Institutions with unified data and workflow platforms consistently achieve higher automation rates, lower costs and better outcomes than those operating fragmented systems.

Leading platforms combine AI with rules-based automation to support dispute summarization, intelligent intake, document review and assisted triage across the dispute lifecycle. In practice, these capabilities come together on unified workflow platforms. ServiceNow’s disputes capabilities illustrate how these approaches improve processing speed and consistency while maintaining control.

Results of modernizing financial dispute operations

Across banking and payments engagements, EY teams consistently find three drivers pushing dispute management onto the C-level agenda: rapid volume growth, outdated case management technology and costs rising faster than institutions can absorb.

The approach follows four integrated workstreams: strategy, design, technology delivery and governance. Sequencing matters. Automation and AI applied to poorly designed workflows accelerate the wrong outcomes. Getting the operating model right first determines whether transformation delivers durable value or just faster processing of broken processes.

When implemented on the ServiceNow platform, this approach has delivered measurable results: 30% to 40% reductions in claim volumes, 40% to 50% reductions in friendly fraud, faster call resolution and significant reductions in manual processing effort.

Financial disputes as a platform for broader transformation

Modernizing dispute management delivers value beyond disputes themselves.

Institutions that succeed build reusable capabilities: unified data infrastructure, AI models transferable to fraud and risk, scalable workflow automation and robust audit frameworks. These form the foundation for broader transformation across risk and operations.

This is why financial dispute management increasingly appears near the top of AI investment priorities for financial institutions evaluating where to begin.

The cost of waiting

The case for modernizing financial dispute management has never been stronger. Rising volumes, regulatory pressure and customer expectations are converging to make the status quo unsustainable.

The hidden cost is customer retention. When a dispute is handled poorly, the bank doesn’t just absorb the processing cost. It risks losing the customer entirely. With acquisition costs exceeding US$500 per retail customer and roughly 22% of fraud victims closing their accounts, a single bad dispute experience can erase years of relationship value.^2,3

Institutions that act now will reduce costs and build the data, AI and operational capabilities needed to compete in the next phase of banking. Institutions that wait will face higher costs, greater risk and a steeper climb to catch up.

What separates successful dispute transformations from stalled initiatives is not ambition or technology. It is the ability to align operations, risk, compliance, data and customer experience under one coherent approach. Institutions that move in silos often improve one metric while creating new exposure in another.

Financial dispute management represents a strategic choice point. The only remaining variable is whether institutions choose to act.

ROI measurement in financial dispute transformation

The value of modernizing dispute management goes beyond cost reduction. It builds operational resilience, reduces regulatory risk and protects customer relationships. Key metrics include cost per dispute, average resolution time, automation rates, exception volumes, audit findings, customer satisfaction scores and retention rates following a fraud or dispute event.

Institutions that modernize dispute workflows typically target reductions in manual handling, faster resolution for routine disputes, improved decision consistency and stronger documentation for regulatory review. These outcomes drive lower operating costs, greater compliance confidence and more scalable operations as payment volumes grow.

Financial dispute management improvements also unlock reusable capabilities in data integration, workflow orchestration and AI governance that extend value into fraud, servicing and risk operations.