Report: Why positive pay is no longer enough

Check fraud has re-accelerated across the U.S. financial system. Altered-payee and counterfeit items now account for a growing share of losses and operational strain, particularly for institutions with significant business-checking volumes. While traditional Positive Pay remains foundational, it was designed for batch processing and in-clearing review—leaving gaps as fraud tactics attack vulnerabilities earlier in the deposit lifecycle. 

To remain effective, Positive Pay must operate earlier, with greater accuracy and less operational friction. Modern check verification programs should extend Positive Pay upstream by strengthening payee validation, applying richer fraud intelligence, and enabling more efficient pre-posting exception workflows. 

For large institutions, the business case for an enhanced Positive Pay model centers on loss avoidance, faster exception resolution, and audit-ready controls that scale to enterprise requirements. For community banks and credit unions, the case is driven by prevention, efficiency, and customer trust—where even a small number of fraud events can have an outsized impact. Across the spectrum, institutions benefit most when Positive Pay capabilities build on existing check-fraud intelligence and integrate seamlessly into established operating models. 

Why the time to take action is now 

The fraud mix has shifted. Organized fraud actors are increasingly altering payee names and amounts or producing high-quality counterfeits designed to bypass legacy controls. Detection that occurs only at clearing is often too late to prevent loss, operational disruption, or customer impact. 

At the same time, fraud analyst teams are facing tighter cut-off times and heavier exception queues, while business customers expect faster resolution and greater transparency. What once felt like an acceptable delay now creates friction for treasury and back-office teams and customer relationships. 

Institutions are also expected to demonstrate pre-posting validation, consistent decisioning, and complete evidence trails. In this environment, extending Positive Pay upstream is no longer a future enhancement—it is a practical requirement. 

Positive Pay Plus: What it is — and why it matters 

Positive Pay Plus is designed to reduce commercial check fraud risk without adding operational complexity, delivering clear benefits across operations, compliance, and the business customer experience. 

Operationally, Positive Pay Plus is simple to implement. It leverages an institution’s existing Positive Pay file structures, ingesting issue files from business customers via batch SFTP, portal upload, or API. This allows banks to extend fraud controls earlier in the lifecycle without introducing new file formats or disruptive process changes. 

From a risk perspective, Positive Pay Plus enables real-time detection that helps reduce losses before funds move. It validates payee, amount, date, and serial number details against presented items, identifying stale, duplicate, and out-of-range checks. When an issue file mismatch or compromised account is detected, the bank of first deposit is alerted, while the issuing bank receives pre-emptive notification to support earlier return decisions. 

These capabilities also directly enhance the business customer experience. Exceptions are routed into managed work queues with institution-defined cutoffs, enabling faster, more predictable resolution. Approvers can make timely pay-or-return decisions with full auditability, reducing friction, improving trust, and supporting stronger business customer retention. 

Importantly, Positive Pay Plus is not a post-clearing review that flags issues only after money has moved, nor is it a rigid, exact-match rules engine that drives unnecessary false positives. When deployed as part of an established check fraud intelligence environment, it delivers earlier detection, operational efficiency, and measurable value—without added burden. 

Rethinking positive pay: How to evaluate what comes next 

Traditional Positive Pay remains a foundational control, but it was designed for a different risk environment—one defined by batch processing, lower volumes, and later-stage review. As fraud tactics accelerate earlier in the deposit lifecycle and volumes continue to rise, institutions must reassess whether existing approaches are sufficient on their own. 

As a result, evaluating the next generation of Positive Pay requires more than assessing detection capability in isolation. Leaders must consider when controls operate, how accurately they separate risk from noise, and whether workflows, governance, and customer experience can scale with today’s volumes and expectations. The following framework outlines the key considerations institutions should use to assess what comes next. 

Does your protection begin early enough? 

Traditional Positive Pay was built to catch problems at posting. Increasingly, that is too late. 

Modern fraud schemes exploit the window between deposit, clearing, and posting. Institutions should evaluate whether controls operate early enough in the transaction lifecycle to prevent loss rather than manage recovery. 

Early interception not only reduces principal loss but also limits downstream effort tied to claims, customer communication, and exception remediation. 

Does the accuracy of your current process reduce work, or create it? 

Detection without accuracy simply shifts cost. 

High false-positive rates inflate exception queues, strain staffing, and threaten cut-off performance. Over time, they erode confidence in the control itself. 

Institutions should focus on how solutions achieve accuracy: 

• Payee matching sophistication rather than simple string comparison 
• Tuned tolerances informed by real transaction data 
• Whitelisting and learning mechanisms that reduce recurring noise 

The goal is not more alerts, but fewer, higher-quality decisions. 

Are your workflows designed for scale? 

As volumes grow, manual decisioning models break down. 

A next-generation Positive Pay solution should demonstrate: 

• Consolidated queues, rather than fragmented views 
• Bulk and rule-driven decisions for low-risk items 
• Clear escalation paths for high-risk exceptions 
• On-time decisions and returns, even as transaction volumes surge 

Operational design is no longer secondary. It is a primary driver of ROI. 

Is the business-customer experience improving? 

For business customers, Positive Pay is only visible when something goes wrong. 

Long resolution cycles, repeated callbacks, and inconsistent decisions create friction that directly impacts retention. Faster, more predictable exception handling improves trust and reduces service burden. 

As competition for business deposits intensifies, customer experience is no longer optional. 

Can value be quantified and sustained? 

Institutions should evaluate impact across multiple dimensions, including loss reduction relative to historical baselines, changes in exception volume and false-positive trends, analyst time per item, and adherence to cut-off times. Together, these measures provide a clearer view of whether improvements are material, repeatable, and sustainable over time. 

Sensitivity analysis should focus on the variables that most influence outcomes. When accuracy, exception volume, and cut-off performance improve together, gains tend to be durable. 

How quickly can your institution realize value? 

Leaders should assess time-to-value by examining the ease of issue-file onboarding and validation, the availability of templates and mapping guidance, and the ability to begin with batch or portal workflows before full integration. Clear expansion paths as client participation and volumes grow are essential to sustaining value beyond initial deployment. 

In practice, implementation often determines whether promised value is realized at all. 

What does this means for your institution? 

To remain effective, any form of Positive Pay must operate earlier in the transaction lifecycle. Accuracy and workflow efficiency now matter as much as detection itself, and new controls should integrate with existing intelligence without adding operational drag. 

This means that for large banks, credit unions, and institutions with meaningful business-check exposure, Positive Pay must evolve. The question is no longer whether to modernize, but how thoughtfully that modernization is approached. 

Mitek’s Positive Pay Plus reflects this shift. By extending check verification to earlier in the lifecycle, and pairing high-fidelity payee matching with scalable workflows, it illustrates how Positive Pay can move from a reactive safeguard to a proactive line of defense. 

Institutions that adopt this approach position themselves to reduce loss, operate more efficiently, and demonstrate control effectiveness with confidence.