Software quality assurance for a high-volume payments platform, run entirely by hand and no longer keeping pace with growth. Putting agents into the SDLC without loosening the controls a regulated environment demands.
Reduction in test case creation time
Expanded test coverage
Improvement in accuracy and consistency
End-to-end QA for the platform was a fully manual process, and the bottlenecks in test case generation and validation compounded as volume grew. Much of the SDLC ran on tribal knowledge, partly documented and spread across sources, which made access uneven and new engineer onboarding slow. The platform needed agent-assisted delivery that understood its own domain, not generic tooling bolted onto a regulated environment.
Synapt Agent Hub, deployed across QA and knowledge retrieval with human-in-the-loop controls throughout.
Context engineering foundation built on the platform's domain data, business terminology, and applications
Stateful agents generating test scenarios, test cases, and root cause analysis
Conversational querying of the knowledge base, tuned to the personas in the SDLC
Standards-driven QA artifacts, with guardrails held constant as speed increased
Stateful SDLC agents
Test scenarios, test cases, and RCA generated with human review in the loop
Domain-grounded knowledge base
Tribal knowledge captured and made queryable across the SDLC
Guardrailed automation
Fintech-grade standards and controls maintained as throughput increased
More case studies
Leading telecom operator in LATAM
World’s leading payments platform
Tier-1 US telecom operator