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Case Study Industry: BFSI

Reduction in IT Costs for a Tier-2 Bank Without a Single Hour of Downtime

For over two decades, a mid-sized regional bank had run its operations on a monolithic core banking system built for transactional reliability, not agility. Batch processing stretched overnight. New product launches took months. Fintech integrations were slow and expensive. And every compliance update triggered weeks of high-risk manual patching.

The bank wasn’t in crisis — transactions still cleared, customers could still log in — but leadership could see what was coming. Digital-first competitors were eroding their retail base. Regulatory expectations were rising. And the gap between what customers expected and what the stack could deliver was widening every quarter.

They had attempted a full legacy migration once before. It was scoped, budgeted, and quietly shelved when the risk became impossible to ignore. A failed core migration meant frozen accounts, disrupted payment rails, and a compliance exposure they couldn’t afford. Starting from scratch wasn’t the answer.

What they needed was a smarter path — one that delivered a complete core banking transformation without the bank going dark for even an hour.

Reduction in Account Takeover Fraud for a Southeast Asian Bank in Just 6 Months

Across Southeast Asia, rapidly digitising banks are facing a fraud landscape that has outpaced the controls built to manage it. For one mid-sized regional bank, that gap became a crisis. Over 18 months, a 210% surge in account takeover incidents — driven by credential-stuffing attacks, SIM-swap schemes, and sophisticated social engineering — exposed the hard limits of a rule-based detection system calibrated for an earlier threat era.

The system generated excessive false positives while simultaneously missing novel attack patterns that fell outside predefined thresholds. The cost was threefold: direct financial losses from fraudulent transactions, an overwhelmed fraud operations team manually reviewing thousands of alerts, and measurable damage to customer trust reflected in declining net promoter scores.

Static rules could not keep pace with adaptive adversaries. The bank needed a fundamentally different approach — one capable of learning from evolving attack signatures in near real time.

Faster Workforce Allocation for India’s 2nd Largest Public Sector Bank

Managing workforce performance across 8,500+ branches is more than an operational challenge – it’s a data challenge at national scale.

For India’s 2nd largest Public Sector Bank, every workforce decision depended on processing datasets exceeding 3 crore records per transaction while maintaining visibility across thousands of employees, branches, regional offices, and headquarters. Legacy systems struggled to keep pace, slowing workforce allocation, delaying performance reviews, and limiting enterprise-wide decision-making.

NeoSOFT partnered with the bank to build a next-generation workforce performance platform that combined intelligent automation, predictive analytics, and enterprise-grade scalability. The result was a centralized ecosystem that transformed workforce management from a manual process into a real-time, intelligence-driven operation.

Fraud Detection Accuracy

In a market where digital banking adoption surged 35% year-over-year, a high-growth Middle East fintech was racing to keep up with demand, except its KYC process hadn’t left the paper era. Every new customer meant days of manual document handling, and every day of delay meant lost conversions, rising fraud exposure, and mounting operational cost.

NeoSOFT’s diagnostic exposed the real damage: 40% of prospective customers abandoned onboarding before it even finished, a 30%+ data error rate compounded the chaos, and more than 60% of team bandwidth was consumed just processing paperwork instead of growing the business. Worse, merchants, customers, and internal teams operated in complete silos, nobody had real-time visibility into where an application actually stood.

The cost wasn’t just operational friction. It was a fintech company asking customers to prove their trustworthiness through a process that itself couldn’t be trusted.

NeoSOFT didn’t come in to digitize forms. We came in to replace a manual, siloed compliance process with an AI-native onboarding engine, one that verifies identity in minutes, catches fraud in real time, and gives every stakeholder complete visibility into the process, end to end.