FX Lifecycle: From Budget to Balance Sheet

In today's fast-moving global payments landscape, businesses expect payments to move quickly, accurately, and without friction. But behind many failed or delayed transactions is a surprisingly common problem: bad payment data.   

A missing IBAN. An incorrect routing code. A beneficiary name mismatch. These small errors are among the leading causes of payment rejection, creating operational headaches, financial losses, and damaged client relationships, especially in cross-border payment and high-volume payment environments.  

In a recent episode of FX in Focus, Corpay’s Sarah Clark, Partnership Manager, and Sean Beavis, Director of Technical Sales, explored why payment data quality matters more than ever, how payment rejection happens, and what businesses can do to improve payment success rates. 

What Is Bad Payment Data? 

“Bad payment data” refers to incomplete, incorrect, outdated, or improperly formatted payment information that prevents a transaction from processing successfully or causes a payment to be rejected.  This can include: 

• Incorrect bank account numbers 

• Missing IBANs or routing codes 

• Invalid SWIFT/BIC details 

• Beneficiary name mismatches 

• Missing purpose-of-payment information 

• Incorrect currency or country-specific banking details 

Even small data errors can lead to payment rejection, delayed settlements, additional bank fees, failed compliance checks, and operational disruption.  

In cross-border payments especially, poor-quality payment data creates a significant risk because every country, currency, and banking route can have different validation and regulatory requirements.  This is why bank account validation and payment data standardization have become critical for businesses looking to improve Straight-Through Processing (STP), reduce payment rejection and exception rates, and maintain client trust. 

How Common Is Payment Rejection?

According to the discussion, approximately 1 in 25 business payments fails on the first attempt, often because of incomplete, incorrect, or improperly formatted payment information.  In many cases, payment rejection is directly tied to poor payment data quality and a lack of effective bank account validation before payment submission.  While domestic payments with standardized banking requirements tend to experience fewer issues, cross-border transactions introduce significantly more complexity. Different countries, currencies, clearing systems, and regulatory requirements all increase the likelihood of payment rejection.  Even a relatively small failure rate becomes a major operational issue at scale.  For businesses processing thousands of payments, a three-to-four percent rejection rate can quickly translate into: 

• Significant operational overhead 

• Increased manual intervention 

• Delayed payments 

• Additional banking and FX costs 

• Strained client / vendor relationships 

Two Types of Payment Rejection: Pre-Release vs. Post-Release 

One of the key distinctions highlighted in the podcast was the difference between pre-release payment rejection and post-release payment rejection. 

Pre-Release Failures 

This type of payment rejection occurs before the payment is sent. 

Validation systems, operational checks, or compliance screening identify missing or incorrect information and stop the payment before it leaves the account.  Examples include: 

• Missing purpose-of-payment codes 

• Invalid bank identifiers 

• Incorrect routing details 

• Missing beneficiary information 

While these payments never leave the business’s system, they still create operational friction. Teams must manually contact clients, gather corrected information, and reprocess the transaction. 

The payment is delayed, resources are consumed, and frustration increases. 

Post-Release Failures 

Post-release payment rejection is significantly more costly.  

In these cases, the payment initially appears valid, leaves the system, and is later rejected by the beneficiary bank.  This often happens because payment data is technically valid in format but not sufficient for the specific country, currency, or clearing route.  For example: 

• A SWIFT code may be correctly formatted 

• An account number may pass checksum validation 

• Missing details specific to the payment’s destination 

But the payment may still be rejected because the destination country requires an IBAN, local clearing code, or additional regulatory information. When a payment is rejected after release, businesses face: 

• Fees incurred from rejected payments 

• Additional processing costs 

• Delayed funding 

• Manual investigations 

• Potential reputational damage 

• Multiple FX conversions 

Why FX Costs Can Hit Twice

One particularly important point Sean and Sarah discussed in the podcast was the financial impact of rejected cross-border payments.  

Sarah explained that many businesses underestimate the financial impact of returned international payments because the original currency conversion has already taken place before the rejection occurs.  

When a payment is sent internationally, currency conversion typically happens before the payment is released.  

If the beneficiary bank rejects the transaction, the funds are returned to the foreign currency and often need to be converted back to the original currency.  

That means businesses can incur: 

1. An initial FX conversion cost when the payment is sent 

2. A second FX conversion cost when the funds are returned 

3. Additional bank and processing fees that are usually unrecoverable 

What begins as a simple data issue can quickly become a measurable financial loss. 

How Payment Rejection “Breaks” Straight-Through Processing 

Businesses ideally want payments to move through what is known as Straight-Through Processing (STP), meaning the payment flows from initiation to settlement without manual intervention.   When payments move successfully through STP: 

• Transactions are processed faster 

• Costs are lower 

• Operational teams remain efficient 

• Clients receive greater predictability and transparency 

However, STP breaks down when payment data quality is poor, making payment rejection rates climb.  

Sean described two critical layers of bank account validation: 

1. Syntax Validation  This includes checks such as: 

   • IBAN checksum validation 

   • SWIFT/BIC formatting validation 

   • Routing number length and structure verification 

2. Payment Eligibility Validation  This goes further by validating whether the payment data is actually usable for the destination country, currency, and clearing route.   This is often where cross-border payment rejection occurs.  A payment can appear technically correct while still missing country-specific requirements needed for successful processing.  Once a payment is rejected and falls out of STP, operational expenses rise rapidly.  Businesses may face: 

   • Manual reviews

   • Payment tracing 

   • Reprocessing efforts 

   • Investigations into returned payment 

   • Additional banking fees 

   • Losses on FX conversions 

 Rejected payments may cost, on average, five to ten times more than ‘clean’ STP transactions.

Why Bad Payment Data Damages Client Trust 

Operational expenses are only part of the problem.  Payment rejection directly affects the client experience.  

When payments are rejected or delayed: 

• Suppliers may not get paid on time 

• Payroll can be disrupted 

• Refunds may be delayed 

• Clients may lose confidence in payment reliability 

From the client’s perspective, the issue often feels simple: “We provided the payment details; why didn’t the payment go through?”  

What they don’t see is the complex back-and-forth between operational teams, banks, and compliance systems. 

Over time, repeated payment rejection issues can erode trust. 

Clients may begin adding manual workarounds, building in extra payment buffers, or avoiding certain payment channels altogether.  

In that sense, payment rejection is not just an operational issue; it becomes a relationship concern. 

Why ISO 20022 Increases Payment Rejection Risk 

The conversation also explored the industry-wide transition to ISO 20022. 

While many businesses have heard of ISO 20022, fewer fully understand its impact on payment rejection rates. At its core, ISO 20022 introduces richer, more structured payment data standards.  Instead of relying heavily on free-text fields, payment instructions now require: 

• More structured beneficiary information 

• Standardized address fields 

• More detailed payment purpose information 

• Improved transparency and traceability 

This creates clear advantages for the payments industry. However, it also raises expectations around data quality and increases the likelihood of payment rejection when those standards aren't met. 

Banks are now more likely to: 

• Reject incomplete payment instructions 

• Flag inconsistencies 

• Require stricter formatting compliance 

As a result, bank account validation before submission becomes even more important. 

The Growing Importance of Beneficiary Verification  

The podcast also highlighted the increasing importance of payee verification regulations and services, such as Confirmation of Payee (CoP) in the UK and Verification Of Payee (VOP) in the EU, which help ensure payments are sent to the intended recipient. These frameworks are designed to reduce fraud and ensure payments are being sent to the correct recipients.  

Under these models, businesses must ensure that beneficiary names and account information align correctly.  If they do not: 

• Payments may be delayed 

• Payments may be rejected 

• Additional compliance reviews may occur 

This further reinforces the need to validate payment data early, ideally during beneficiary setup or payment creation, to prevent payment rejection before it happens. 

How Bank Account and Payee Validation Improves Payment Success Rates

One of the clearest themes throughout the discussion was that businesses need to move validation upstream.  

Instead of waiting until payments are submitted, organizations should use bank account validation at the point of entry to catch errors before they cause payment rejection.  

Corpay approaches this through multiple payment workflows: 

Platform Workflows 

Guided payment entry with country-specific bank account validation requirements helps users provide the correct information upfront. 

File-Based Payment Validation

Businesses uploading payment files can validate and standardize payment data before execution.  This helps identify: 

• Missing mandatory fields 

• Formatting inconsistencies 

• Invalid banking data 

• Country-specific rule failures 

API-Based Validation 

Clients using our integrated API suite can perform bank account validation programmatically in real time before payment creation.  This allows businesses to: 

• Validate beneficiary details 

• Confirm account formatting 

• Retrieve bank details 

• Check purpose-of-payment requirements 

• Standardize payment instructions 

The goal across all workflows is the same: Improve payment data quality upstream so payments are not rejected and land successfully the first time. 

Three Steps to Reduce Payment Rejection  

To close the discussion, Sarah and Sean shared three practical recommendations for organizations looking to reduce payment rejections and improve operational efficiency. 

Step 1: Measure Payment Rejection Rates 

Tracking why payments fail or are rejected can help identify gaps in the process  Look at: 

• Invalid bank identifiers 

• Missing beneficiary information 

• Name mismatches 

• Country rule failures 

• Formatting issues 

Understanding root causes is the first step toward reducing payment rejection—and the extra expense and time it takes to fix the bad data.  

Step 2: Move Validation Earlier Validate payment data during: 

• Beneficiary setup 

• Payment creation 

• File upload 

… Not just during payment submission. 

Step 3: Standardize Data Inputs

Whether using platforms, files, or APIs, businesses should standardize payment data structures and formatting requirements across systems.  Consistency dramatically improves STP rates and reduces payment rejection. 

Final Thoughts 

The biggest takeaway from the conversation is simple:  The earlier businesses catch and correct bad payment data, the fewer payment rejections they experience, and the smoother (and more efficient!) their payment operations become. 

 Effective bank account validation and strong payment data quality lead to: 

• Higher STP rates 

• Faster payment delivery 

• Reduced operational expenses 

• Fewer payment rejections 

• Lower FX leakage 

• Stronger compliance outcomes 

• Better client experiences 

In an increasingly global and regulated payments environment, preventing payment rejection through upstream bank account validation is no longer just an operational detail.  It’s a competitive advantage.

Corpay Cross-Border

Cross-Border

Global payments