Second of Trading Downtime = $4M Lost. Prevent It | Predict Failures Before Customers 

PathMetrics gives banks hop-by-hop visibility, SLA breach forecasting, and GenAI-powered RCA — so you can trace delays, reduce risk, and protect brand trust in real time 

01

Introduction

In banking, every millisecond matters. System failures cost $14,000 per minute (Forbes), while compliance violations can trigger multi-million-dollar fines. PathMetrics delivers real-time, AI-driven observability to protect revenue, ensure 24/7 uptime, and maintain regulatory compliance across digital banking ecosystems.

02

Digital Banking Platform Reliability

Challenges

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57% of customers abandon transactions after just one failure (J.D. Power) 

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Mobile banking outages during peak hours cost $250K+/hour in lost transactions 

Solution

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WebTime + iPath Integration:

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Monitors login, transfer, and payment flows end-to-end 

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Auto-detects latency spikes in API chains (e.g., core banking integrations) 

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Predictive Failure Detection: 

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Flags database congestion 30 minutes before crashes occur 

Outcomes

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99.999% uptime for customer-facing platforms

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40% reduction in mobile transaction failures 

03

ATM & Branch Infrastructure Monitoring

Challenges

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1 in 5 ATMs experiences weekly connectivity issues (NCR) 

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Silent failures in cash recyclers cause $18M/year in reconciliation costs 

Solution

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Edge Device Observability: 

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Tracks 200+ metrics per ATM (card reader health, cash levels, network jitter) 

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Automated Ticketing: 

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Creates service tickets with root cause before technicians arrive 

Outcomes

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90% faster resolution of branch hardware issues 

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15% lower maintenance costs via predictive alerts 

04

Payment Processing & SWIFT Compliance

Challenges

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38% of payment delays traced to intermediary bank hops (SWIFT Insights) 

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Failed transactions require 3+ hours to manually trace 

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Many SMBs use chatbots and customer support apps, but network delays impact response times, leading to frustrated customers.

Solution

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Hop-by-Hop Transaction Tracing: 

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Maps payment paths across correspondent banks 

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Measures latency at each routing point 

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SLA Enforcement Engine: 

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Alerts when payment corridors exceed 800ms thresholds 

Outcomes

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70% fewer delayed cross-border payments 

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100% SWIFT gpi compliance with real-time proof 

05

Fraud Detection Infrastructure

Challenges

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AI model drift causes 23% of false negatives in fraud alerts (FICO) 

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Legacy monitoring misses 45% of system degradation 

Solution

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Anomaly Detection for Fraud Systems: 

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Tracks prediction latency, API response times, and model accuracy 

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Failure Pattern Recognition: 

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Identifies recurring issues in transaction screening clusters 

Outcomes

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30% faster fraud detection during attacks

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$9M annual savings in prevented false positives 

06

Core Banking Migration Assurance

Challenges

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62% of core system upgrades experience performance regressions (IDC) 

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Testing covers only 35% of production scenarios  

Solution

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Pre/Post-Migration Benchmarking: 

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Compares 150+ performance metrics side-by-side 

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Dependency Mapping: 

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Visualizes impact on downstream systems (loans, cards, reporting) 

Outcomes

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Zero unplanned downtime during legacy modernization 

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80% faster troubleshooting of post-cutover issues 

07

SLA Compliance & Reporting for Vendor and API Integrations

Challenges

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Banks rely on third-party vendors and fintech APIs but lack visibility into SLA performance and proof of service degradation. 

Solution

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SLA Profiling with customizable thresholds for vendors 

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Exportable data for audit and compliance purposes 

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GenAI-generated RCA logs and SLA audit reports 

Outcomes

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50% fewer SLA violations due to early detection 

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Time saved in vendor negotiations and compliance reviews 

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Risk mitigation for outsourcing and fintech integration 

08

Core Banking Infrastructure Monitoring Across Data Centers

Challenges

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Latency or outages in core banking systems spread across legacy and cloud infrastructure delay operations and service delivery. 

Solution

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Anchor deployment in primary and DR data centers  

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AI-driven insights into path, application, and user experience performance 

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Real-time SLA violation prediction and auto-remediation routing 

Outcomes

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Improved uptime across core banking services  

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65% reduction in support tickets from internal business units 

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Faster DR testing and readiness assessments 

09

Executive-Level Observability & Risk Reporting

Challenges

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CIOs and compliance officers lack consolidated, real-time visibility into digital service performance for board reporting or internal governance.

Solution

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iBoard dashboards for SLA, transaction health, app status 

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AI Assistant to answer executive queries in real time 

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Exportable visual RCA logs for board and audit use 

Outcomes

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80% faster reporting cycles  

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Strategic clarity for IT and business alignment 

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Easier governance and board-level transparency 

10

Secure Observability for Regulated Environments (e.g., RBI, GDPR) 

Challenges

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BFSI institutions require secure, role-based, and audit-ready monitoring systems that meet regulatory expectations.

Solution

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RBAC, audit logs, and encrypted data handling 

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On-prem and hybrid deployment support 

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GenAI-assisted RCA with zero sensitive data exposure 

Outcomes

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Audit-ready monitoring that aligns with RBI and internal infosec controls  

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Reduced compliance risk 

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Higher IT team efficiency with fewer tools to manage  

11

Summary: PathMetrics for Resilient and Compliant Banking IT

PathMetrics enables banking and financial services firms to operate with confidence — delivering performance transparency, SLA assurance, and AI-powered diagnostics across complex infrastructure. 

Whether it's transaction observability, SLA compliance, or audit-readiness, PathMetrics provides measurable outcomes with secure, scalable deployment options built for BFSI.

Start your free trial today and see how PathMetrics can help you maintain optimal performance, improve user experiences, and simplify your network management. 

 

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