Frequently Asked Questions
What makes your AI-augmented test automation different?
Our service combines advanced LLM-powered test automation with hands-on expertise, ensuring seamless integration into your existing workflows. Unlike standalone AI tools, our solution is fully managed, reducing maintenance overhead and improving long-term test reliability.
How does the risk-free pilot program work?
We automate up to 300 test cases as part of a no-cost pilot. If you're not fully satisfied with the results, you don’t pay. This allows you to experience the benefits of AI-powered automation without financial commitment.
Do we need in-house AI expertise to use this service?
No. Our team of QA experts handles the AI implementation, test automation, and ongoing maintenance, ensuring you reap the benefits of AI-driven testing without needing internal AI specialists.
Will this solution integrate with our existing CI/CD pipelines?
Yes, our AI-driven automation seamlessly integrates with your existing DevOps workflows, including tools like Jenkins, GitHub Actions, and GitLab CI/CD.
How do you ensure data security and privacy with AI?
We prioritize security by ensuring no client or user data is shared with AI models. Our solution operates within secure environments, following industry-best compliance and data protection practices.
Do you license your AI testing platform?
No, we do not license our AI testing platform as a standalone product. Our AI-augmented test automation is a fully managed service where our experts implement, maintain, and optimize AI-powered testing within your workflows to ensure maximum efficiency and reliability.
What types of tests can be augmented by AI?
AI can enhance functional, regression, performance, and exploratory testing by identifying bottlenecks, prioritizing tasks, and automating repetitive test cases.
How do you maintain accuracy in AI-driven testing?
Our AI testing combines advanced algorithms with human oversight to validate results, ensuring high accuracy and reliability in defect detection and resolution.
Can AI testing reduce QA costs?
Yes, AI testing reduces overall QA costs by minimizing manual effort, automating routine tasks, and optimizing resource utilization while maintaining superior quality.