Skip to content
Test management and QAStrategy, planning and control through to sign-off.Test automationRegression tests that run with every build.Load and performance testingPeak load, month-end, campaigns.Security and penetration testingScans in the pipeline, pen tests to OWASP.AI in testingFaster testing, sign-off stays with people.IT experts on demandISTQB-certified, quickly on board.
All services follow the ISTQB standard.All services
Banks and financial servicesCore banking, payments, DORA.InsurancePolicies, claims, rating engines.Rail and logisticsSystems that run around the clock.More industriesTelecoms, automotive, public sector, industry.
Hands on a laptop in front of screens with source code

AI in testing

AI makes testing faster and broader when it is used in a controlled way. We use AI from test design to failure analysis and make sure every result stays traceable.

Where we use AI

Test design
Language models suggest test cases from requirements and user stories, including edge and error cases. Test analysts review and complete them.
Test data
Synthetic, realistic test data without real personal data.
Stable automation
Self-healing recognises changed interface elements and keeps automated tests running.
Visual checks
AI compares user interfaces across browsers and devices and reports real differences instead of pixel noise.
Exploratory testing
AI agents operate applications on their own and find anomalies that a script does not cover.
Failure analysis
AI groups error messages and logs, detects duplicates and suggests causes.
Test code
AI assistants speed up writing and maintaining test scripts.

How we work

  1. Choose use cases

    We check where AI measurably saves time in your test process and where it does not.

  2. Pilot with measurement

    One use case, one clear comparison with the previous effort.

  3. Integration

    We integrate the tools into pipeline, test management and processes.

  4. Control and evidence

    Review rules, four-eyes principle and documentation that stand up to audit and supervisors.

Guard rails

Sign-off
A person decides whether a test has passed
Data
No customer data in public models, operation in the EU or on your servers
Traceability
Every AI suggestion is documented and can be checked
Regulation
Requirements from GDPR, DORA and the EU AI Act are considered from the start

Tools

The tools we use for AI in testing are listed in the technology overview.

Technologies for AI in testing

Let’s talk

Tell us briefly what it’s about. We reply within one business day.

Go to contact formservices@cubio-consulting.com