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Cost of Manual Work — Payment Network Operators
See what repetitive manual work is costing Payment Network Operators teams each year — where interchange and scheme-fee economics are under sustained regulatory pressure across multiple geographies (UK, EU, Australia, US merchant-litigation cycle).
What this means for Payment Network Operators
- Interchange and scheme-fee economics are under sustained regulatory pressure across multiple geographies (UK, EU, Australia, US merchant-litigation cycle).
- Authorization optimization and false-decline rates are a multi-billion-dollar lever that most operators still tune by spreadsheet and partner negotiation, not by model.
- Fraud patterns are mutating faster than rule-based systems can absorb — synthetic identity, account takeover, and card-not-present fraud are all climbing.
Where it pays to act
- Fraud detection and authorization scoring with deep learning models trained on cross-issuer signal — the core volumetric advantage of the network.
- AI for false-decline reduction — keeping good transactions from being incorrectly declined while holding fraud loss flat.
Adjust the inputs to match your Payment Network Operators team.
What manual work costs you
Annual cost
₹6.6 L
People-weeks / year
33
Recoverable via automation
₹4.62 L
Payback
7.8 mo
What this means
Payment Network Operators teams lose 33 people-weeks a year to this work — about ₹6.6 L. Automating the routine ~70% recovers ₹4.62 L a year.
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Cost of manual work — summary
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