
Kumaran developed a custom GenAI-powered validation engine to automate the entire PDF QA lifecycle. The solution leveraged Generative AI to interpret evolving Print Specifications and auto-generate bilingual test cases, integrated custom Machine Learning models for PDF data and metadata extraction, and provided a Human-in-the-Loop (HITL) UI for rapid rule refinement. Automated execution delivered instant, detailed discrepancy reporting with full traceability via Excel exports.
A Tier-1 Canadian Bank partnered with Kumaran to transform its legacy PDF validation process, achieving an 80% acceleration in QA cycles and reducing validation timelines from months to days. What appears as a single headline metric is the result of a focused engagement spanning AI engineering, ML model development, and change management. For this bank, the goal was never automation for its own sake — it was the ability to release faster, maintain compliance with evolving print standards, and eliminate a chronic bottleneck in their Core Banking & Payments release pipeline.
Like many large financial institutions, the bank had accumulated a library of 600+ print forms developed over years. With print specifications evolving frequently and bilingual compliance requirements in both English and French, manual validation had become unsustainable. Each release cycle required teams to comb through hundreds of forms for pixel-perfect accuracy — a process that took months and was highly susceptible to human error and fatigue. The need was clear: deliver a measurable improvement in speed and accuracy without disrupting ongoing operations.
Contact us today to learn more about our approach and the success story behind this engagement with the Tier-1 Canadian Bank.

Test Coverage Achieved
100%
A Tier-1 Global Bank faced severe bottlenecks in their mission-critical trading platform. Over 7,000+ regression test cases were executed manually, creating long, inflexible regression cycles that delayed releases. A proprietary vendor tool offered poor scalability and limited coverage, while the bu

Zero Manual Monitoring
Fully Automated
Container logistics in UAE ports involves a complex multi-party workflow between importers, exporters, transport companies, and shipping lines. Opportunities to "swap" containers — avoiding empty return trips to the depot — were being missed repeatedly due to the absence of a coordination system. Tr