Quarterly releases to daily and weekly with 12 people
Enginuity as a service and a team of 12 replaced a 125-person offshore regression team across a Big 4 bank's end-to-end lending systems.
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K-FAST is a proprietary test automation framework in PinnacleQM's accelerator toolkit. It turns manual regression into maintainable, CI/CD-integrated automation across web, mobile, API and database layers, without disrupting releases already in flight.
30+years of international
IT experience
Manual regression suites take days or weeks every sprint, so development waits on testing and releases slip. Under time pressure, edge cases go untested and defects escape to production, where they cost far more to fix.
Homegrown scripts without a framework break constantly, and maintenance soon exceeds the original effort. K-FAST gives automation a structured, documented foundation across interface, API, mobile and database layers, with quality gates on every commit in your pipeline.
K-FAST combines a modular framework, reusable components and CI/CD connectors, so automation is faster to build, cheaper to maintain and trusted by delivery teams.
Proven on complex enterprise programmes.
Page objects, naming conventions and test data strategies are designed once, so every new suite starts from a proven structure.
Keyword-driven, data-driven and hybrid approaches are supported, so tests suit the skills and needs of each team.
A reusable component library and pre-built reporting modules remove the set-up overhead on every new application.
Plug-and-play connectors for Jenkins, Azure Pipelines, GitHub Actions and GitLab CI run tests automatically on each commit.
AI-assisted element detection keeps scripts working as interfaces change, reducing maintenance effort by up to 70%.
Code, runbooks and training are handed over, so automation knowledge never sits with one person or one fragile script.
K-FAST covers every layer of automation risk in a single, maintainable framework.
Playwright and Selenium WebDriver automation runs across Chrome, Firefox, Safari and Edge. Suites are data-driven, BDD-ready and built on the K-FAST modular structure, so they scale smoothly as your application grows.
Appium-based automation covers native and hybrid apps on iOS and Android, and integrates with device farms such as BrowserStack, Sauce Labs and AWS Device Farm for testing on real devices.
REST, GraphQL and SOAP APIs are automated with REST Assured, Postman and Karate, including schema validation, contract testing and negative-path coverage, so service regressions are caught before they reach the interface.
SQL and NoSQL checks run alongside interface automation, verifying data integrity, referential constraints and stored procedure behaviour in every test run, so hidden data defects do not slip through to production.
Plug-and-play integration with Jenkins, Azure Pipelines, GitHub Actions and GitLab CI provides parallel execution, smart test selection and instant pass or fail feedback, so every commit is checked before it moves on.
AI-powered element detection and self-healing scripts keep automation green as your interface evolves from sprint to sprint, cutting maintenance effort by up to 70% and protecting the return on your automation investment.
K-FAST follows a five-phase delivery method that takes you from zero coverage to a fully integrated, self-maintaining suite, without disrupting your current releases.
Assess test assets, coverage gaps, toolchain and pipeline readiness, then set a roadmap with clear ROI milestones.
Design the modular framework: folder structure, naming, page objects, test data strategy and integration hooks for your stack.
Author peer-reviewed scripts from K-FAST templates, covering high-priority regression paths first for early return.
Connect the suite to your pipeline with parallel runs, environment matrices, dashboards and Teams or Slack alerts.
Expand coverage, enable self-healing, speed up execution and transfer ownership to your team through training.
Enginuity as a service and a team of 12 replaced a 125-person offshore regression team across a Big 4 bank's end-to-end lending systems.
Read more
When a core banking platform was upgraded, Enginuity's machine learning updated the automation in 2 hours and every script ran without test pack changes.
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A practical way to decide which regression tests to automate, which to keep manual, and how to measure the return.
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Many unreliable automated tests fail because of test data and environments, not scripts. How to diagnose and fix the real cause.
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Tools do not make releases faster by themselves. The practices, ownership and feedback loops that actually change cadence.
Tell us about your applications, current scripts and CI/CD pipeline. We will scope a K-FAST engagement and show where automation will pay back first, starting with your highest-priority regression paths.
Mention your applications, current tools and CI/CD pipeline.