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AI Testing Services
AI testing services: AI-assisted automation and testing of AI features
Use AI to test faster, and make sure your own AI features work as intended. We combine self-healing automation and AI test agents with careful human review.
What’s included
What our ai testing service covers
Self-healing test automation
Healenium-based self-healing that repairs broken locators when the UI changes.
AI agents for test generation
MCP agents in Playwright that help plan tests, generate scripts and heal failures.
AI-assisted test design
Faster test case design and coverage analysis, reviewed by QA engineers.
Testing AI & LLM features
Accuracy, consistency across prompts and inputs, hallucinations, edge cases and safe fallbacks.
Data & output validation
Checks on the data and outputs behind AI-driven features and recommendations.
Human review & governance
Clear rules on which AI tools may be used, and human sign-off on every AI output.
Technologies
Platforms and standards we work with
- Healenium
- MCP agents
- Playwright
- Selenium
- TypeScript
- Java
- Azure DevOps
- Jira & Xray
What you can expect
- Less time maintaining test scripts
- Faster test creation for new features
- Confidence that AI features behave as expected
How we engage
Flexible ways to work together
Project-based
A fixed scope and timeline for migrations, upgrades, audits and implementations.
Monthly retainer
Ongoing managed services and support under an SLA with predictable monthly fees.
Dedicated engineers
Skilled IT and QA engineers who join your team, ideal for software companies, enterprises and MSPs.
FAQ
AI Testing – frequently asked questions
What is AI testing?
It covers two things: using AI to make testing faster and more resilient, such as self-healing scripts and AI-generated tests, and testing AI-powered features to check they are accurate, consistent and safe.
Can AI replace software testers?
No. AI speeds up repetitive work such as script maintenance and test generation, but skilled QA engineers still design the strategy, judge results and sign off releases.
How do you test AI and LLM features?
We define expected behaviour, build sets of representative and edge-case inputs, check accuracy and consistency across repeated runs and prompt variations, and verify safe fallbacks when the AI is unsure.
Is our code and data safe when you use AI tools?
We agree with you upfront which AI tools may be used and on what data. Confidential code and data are never shared with public AI services without your approval.
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Let’s discuss your IT needs
Book a free 30-minute consultation. We’ll review your environment, answer your questions and recommend practical next steps, with no obligation.