No-code AI test automation for enterprise and government teams. Natural-language scripts anyone can write, virtual testers that run 24/7, and far less maintenance than coded frameworks.
30+years of international
IT experience
Traditional test automation depends on specialist coders and large script libraries. Every application change breaks scripts, maintenance eats the automation budget, and regression still takes weeks. Teams end up running the same tests manually and automatically, and business users stay tied to testing.
PinnacleQM replaces brittle code with natural-language, no-code automation built on Enginuity. Testers and business analysts write the scripts, AI scans detect application changes and self-heal tests, and virtual testers execute thousands of tests in hours across UI, API, database and mainframe layers.
Automation should cut effort, not move it. Our approach increases coverage and release frequency while reducing the people, time and specialist skills needed to keep suites running.
Quarterly releases moved to daily and weekly CI/CD.
Tests are written in natural language, so testers, analysts and business users can build and review automation.
AI scans detect application changes and relearn them, so one update fixes a component instead of hundreds of scripts.
Virtual testers scale from one to thousands, running full regression packs overnight or inside the sprint.
One end-to-end test can span web, mobile, API, mainframe, integration and database layers without separate tools.
Tests trigger from your pipeline, and results flow back to QMFactory dashboards and your defect tracker automatically.
The same scripts are reused for regression, business acceptance and RPA, multiplying the return on every automated test.
From strategy to support, we automate where it pays back and hand over assets you own.
We inventory your existing automation and score each candidate on business criticality, execution frequency, stability, reuse and expected return. The result is a costed roadmap that protects working assets and avoids automating the wrong things.
Our engineers configure Enginuity for your applications through an initial machine-learning process, then build modular natural-language scripts with your team. Existing Selenium and other coded scripts can be converted rather than rewritten.
We automate your regression pack so it runs in hours, not weeks. Virtual testers execute on schedule or on demand, raise defects automatically and retest each fix until it passes.
We integrate automated tests into your CI/CD pipeline so every build is checked before it moves on. Results are collated centrally in QMFactory, giving developers fast feedback and leaders a clear view of release readiness.
Automation built for delivery is reused for user acceptance. Authorise runs each business process against agreed acceptance criteria and posts video evidence to a dashboard, so users review and approve instead of retesting by hand.
After go-live, the same assets validate patches, upgrades and support ticket changes before deployment. Automation linked to your ticketing system keeps production changes tested without pulling people off project work.
We never replace working automation just to change tools. Existing packs keep running while new automation is piloted, proven in parallel and adopted in controlled waves.
Inventory scripts, tools, schedules and data, and baseline coverage, stability and maintenance effort against critical business processes.
Keep existing regression running, fix priority failures and set runbooks, so there is no assurance gap during change.
Automate a group of high-value processes in Enginuity and Authorise, then compare results with current automation and manual runs.
Move approved packs in waves, running old and new tests in parallel before any asset is retired.
Add CI/CD quality gates, monitor automation health, train your team and deliver agreed quarterly improvements.
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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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 resources company runs SAP and SuccessFactors regression every month with no testers at the keyboard and $0 additional cost, using Pinnacle's automation.
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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 tools and release cadence. We will suggest where automation will pay back fastest and whether a proof of value makes sense.
List your key applications, current automation tools and how often you release.
