Case Study: One of India's Largest Banks achieves 99.98% NO-MATCH accuracy and 3x faster TAT with AutomationEdge RPA

Largest Bank - Customer Case Study

Largest Bank in India faced low accuracy from the Posidex deduplication output when identifying MATCH and NO MATCH records for loan applications, relying on a roughly 40‑person team to eyeball results daily. To improve precision and reduce manual effort, the bank engaged AutomationEdge and its RPA solution to automate the deduplication process.

AutomationEdge deployed a robot that logs into Posidex each morning, triggers the Dedupe feature, extracts reference and candidate records, and applies a rule engine to identify MATCH cases (which are routed for human review) and submit NO MATCH records automatically. As a result, NO MATCH accuracy reached 99.98% (about 30% of volume), overall accuracy improved by 18% versus Posidex alone, earlier staffing needs for 200 daily requests were eliminated, and turnaround time dropped from 15 minutes to 5 minutes.