Industry
Banking & Financial Services
Altimetrik AIOS Accelerates QE Automation to ~95% Coverage in 6 Weeks
STLC automation coverage (1,345 of 1,410 in-scope test cases)
Delivered against an 18-week plan — 3x faster, 12 weeks saved
Reduction in test-authoring effort vs the incumbent TOSCA tooling
Faster test execution than manual (36–40 cases/hr vs 20/day)
Specialized agents deployed as an automation factory
Orchestration tools enabling governed, deterministic execution
A leading US regional financial services institution partnered with Altimetrik to accelerate STLC automation for its Salesforce Lightning application using Altimetrik’s AIOS-powered, agentic QE framework. In just 6 weeks, a 5-member team automated 1,345 of 1,410 test cases (95% coverage) delivering the planned scope in one-third of the original 18-week timeline. Powered by an AI-enabled IDE (Windsurf), the solution reduced test authoring effort by 80% compared to the client’s TOSCA-based approach while ensuring governance, resilience, and quality through human oversight.
The client needed to automate 1,410 Salesforce Lightning test cases in significantly less than the 18 weeks projected using its existing TOSCA-based approach, which delivered only 2–3 automated test cases per engineer per day.
At the same time, every script had to comply with the client’s enterprise Playwright framework, repository standards, page object models, reusable components, and coding guidelines. Generic AI-generated code was not viable, as it often produced inconsistent, non-compliant, and high-maintenance automation.
The client needed to accelerate automation without compromising quality. A faster but ungoverned approach would have increased rework, maintenance costs, and delivery risk, while failing to meet aggressive release timelines. The solution had to combine AI-driven speed with enterprise-grade governance to deliver scalable, production-ready automation.
Altimetrik built a governed agentic QE automation framework aligned with its AIOS vision, using 14 specialized agents and 23 orchestration tools to automate the entire lifecycle from test-case interpretation and repository analysis to script generation, execution, self-healing, PR creation, and review.
The framework separated reasoning from execution: AI agents handled contextual decisions such as code generation and failure analysis, while deterministic tools enforced linting, validation, execution, and quality checks to eliminate hallucinations and ensure compliance.
Every output passed through governed quality gates including readiness scoring, TypeScript validation, coding standards, audit trails, and PR governance. Dynamic model escalation optimized cost and performance by using lightweight models by default and stronger models only for complex or high-risk tasks.
This engagement proves that governed Agentic AI can deliver enterprise-scale software engineering—not just faster automation. By combining agentic orchestration with repository awareness, governance, quality controls, model escalation, and human oversight, Altimetrik accelerated delivery while maintaining enterprise-grade standards.
More importantly, this is a repeatable AI-first delivery pattern. Built on Altimetrik’s AIOS vision, the same approach can extend beyond STLC to the broader SDLC, enabling governed AI across requirements, code, testing, PRs, and release workflows to accelerate software delivery end to end.
