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By AI, Created 11:17 AM UTC, May 20, 2026, /AGP/ – Enterprise platforms are automating pieces of multi-party payments, but many still depend on manual reconciliation and lack clear visibility into fund flows, according to new Mangopay research. The findings suggest compliance, FX oversight and cross-border complexity remain major bottlenecks as platforms scale globally.
Why it matters: - Enterprise payment operations are still not fully automated, leaving platforms exposed to slower reconciliation, more manual work and higher operational risk. - The gaps matter most in multi-party flows, where compliance, FX handling and cross-border payouts can directly affect cost, speed and visibility.
What happened: - Mangopay released new research on how enterprise platforms handle multi-party payments across markets and verticals. - The survey found that 50% of platforms still do most reconciliation manually. - Another 36% rely on fully manual reconciliation with no automation. - 54% fully automate cross-border or multi-currency payouts through third-party providers. - Mid-sized enterprise platforms were more likely to report full automation in cross-border or multi-currency payouts than platforms processing more than 500 million transactions a year.
The details: - Compliance was the most frequently cited challenge at 26% and the one with the biggest operational and financial impact. - Country-specific payout restrictions affected 37% of respondents. - Safeguarding was a challenge for 36%. - Managing compliance across multiple markets affected 35%. - FX remained one of the least supervised parts of the payment flow. - 40% of platforms said they had limited visibility over FX rates and costs, and only learned the final converted amount after the transaction was completed. - 30% said better visibility over money flows would have the greatest impact on improving operations. - The survey covered 600 senior decision-makers in the US, UK, France and Germany. - Respondents included C-suite executives and heads of operations, finance, treasury and payments. - All surveyed platforms process at least 50 million transactions a year. - The sample included companies in ecommerce, travel, fintech, SaaS, on-demand services and crypto. - Censuswide conducted the fieldwork from 4 March to 13 March 2026.
Between the lines: - The findings suggest many enterprises have automated selected payment steps, but not the full operating chain. - Compliance and fund-flow visibility remain the biggest friction points because they cut across multiple providers, currencies and internal systems. - Andy Wiggan, Mangopay’s chief product officer, said operational complexity is now a core part of multi-party payments and that the biggest gaps are manual reconciliation and limited visibility over fund flows. - Wiggan said those problems can be improved with infrastructure built specifically for multi-party flows.
What’s next: - Mangopay is positioning its wallet-first infrastructure, programmable wallets, IBANs, FX, acquirer-agnostic processing and fast cross-border payouts as tools to reduce those gaps. - The company is also pointing to AI-driven fraud and compliance tools as part of its platform strategy. - Mangopay says its technology is aimed at helping platforms hold, split and move funds across buyers, sellers and partners while opening up new monetization streams.
The bottom line: - Enterprise payments are getting more digital, but the hardest parts of multi-party money movement are still partly manual.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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