Ensures reliable digital payments by detecting and resolving transaction failures early.
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โฆ Overview
The banking sector has rapidly shifted toward digital channels, with over 70% of customers now using mobile apps for payments, transfers, and daily banking. This reliance makes service speed, reliability, and accuracy critical. Even brief disruption scan impact customer trust, invite regulatory scrutiny, and result in financial loss, underscoring the need for robust digital performance management.
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โฆ Problem Statement
Even with advanced monitoring tools in place, customers may experience failed payment transactions, leading them to report issues through call centers and social media.
โฌฉ Traditional monitoring (CPU, memory, DB health, and infrastructure uptime) might show systems as โhealthy.โ
โฌฉ The gap: Existing monitoring might not capture the full end-to-end customer journey, including login, fund transfer, and payment confirmation.
Unaddressed ,this type of failure leads to:
โฌฉ Loss of customer trust and reputation damage.
โฌฉ Regulatory fines due to non-compliance with payment reliability standards.
โฌฉ Direct financial impact if transactions fail during peak usage.
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โฆ How It Works
โฌฉย Synthetic Transactions: Agents simulate real customer actions every few minutes (login โ add funds โ complete payment).
โฌฉ Detection: Assurance detects failure rate in simulated payments, specifically at the payment confirmation stage.
โฌฉ Correlation: Analysis ties failures to API latency spikes at the payment gateway. Other infrastructure metrics remain green, proving the issue istransaction-level, not system-level.
โฌฉ Escalation & Evidence: Assurance generates a clear report for IT and business teams showing failure rates, affected flows, and root causecorrelation.
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โฆ Operational Impact
โฌฉ IT teams can detect issues within minutes rather than hours, significantly lowering time-to-detect (MTTD).
โฌฉ Clear visibility into root causes, such as API gateway latency, eliminates wasted effort and cross-team accountability gaps.
โฌฉ Faster resolution shortens Mean Time to Repair (MTTR)and minimizes business impact.
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โฆ Customer Impact
โฌฉ Payment failures are fixed before they affect the majority of customers.
โฌฉ Protects brand trust - customers donโt see repeated failures in critical services.
โฌฉ Reduces social media complaints and limits customer attrition to competitors.
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โฆ Financial& Regulatory Impact
โฌฉ Avoids regulatory fines for failed transaction reliability (especially in markets with strict banking compliance).
โฌฉ Protects revenue from uninterrupted payment processing during high-transaction periods.
โฌฉ Provides assurance evidence for audits, proving the bank actively validates payment SLAs.
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โฆ ROI of Implementing Network Assurance in Banking: Reduced Financial Losses: By proactively detecting and resolving system issues, banks can prevent high-cost outages. For example, avoiding even a two-hour outage during peak periods can save hundreds of thousands of dollars in failed transactions and operational disruption.
โฆ Minimized Compensation and Fines: Assurance solutions help mitigate regulatory exposure and customer compensation costs. Early detection can prevent incidents similar to Barclaysโ 2025 outage, where over 50% of payments failed and compensation costs were estimated at ยฃ5โ7.5 million.
โฆ Preserved Revenue and Customer Trust: Continuous system reliability ensures transaction completion, protecting revenue streams and maintaining client confidence. This directly supports customer retention and reduces reputational damage.
โฆ Operational Efficiency: Automated monitoring and issue resolution reduce manual intervention, freeing IT teams for higher-value tasks and lowering operational costs.
Quantifiable ROI: For large financial institutions, even a single avoided outage or fine can justify the investment in assurance solutions. Across multiple incidents, these savings compound, delivering measurable ROI and improved compliance metrics.
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