AI Assistance in TestBench – Creating Smarter Software Tests
The quality of any software is only as good as the quality of its tests. In real-world testing environments, however, defining and maintaining test cases and preparing test results in a clear, structured way often consumes a significant amount of time and is prone to error, especially in complex systems.
This is exactly where TestBench’s AI integration comes into play. Intelligent assistance features automate repetitive tasks, translate technical details into clear, domain-specific language, and provide actionable feedback. The result: greater efficiency, improved team collaboration, and future-proof test processes powered by AI.
Challenges in day-to-day Testing
In daily test management, teams often face recurring challenges:
- Incomplete or outdated test case documentation
- Inconsistent test specifications
- Technical error messages that are hard to interpret from a business perspective
These issues consume valuable time — time that could be better spent developing new test scenarios or identifying root causes of defects. Instead, testers often find themselves buried in documentation maintenance or decoding cryptic system outputs.
With the AI feature in TestBench, these obstacles are significantly reduced. The AI automates routine tasks, standardizes test descriptions, and accelerates error analysis, allowing testers to focus on what really matters: delivering better tests, faster.
AI in TestBench – flexibly integrated
At the core of TestBench’s AI integration is the AI Proxy, which connects the platform to a Large Language Model (LLM) and enables fully configurable AI-powered features tailored to your test project’s needs.
The AI Proxy ensures both transparency and control:
- All prompts are visible and fully customizable
- The proxy operates independently of TestBench and can be deactivated at any time
- Configuration remains entirely in the hands of the administrator
With project-specific activation, AI features can be used selectively. Prompts can be adapted to the domain context for maximum relevance. Using the open Python API and AI Proxy, custom use cases can be integrated with ease.
By default, TestBench connects to OpenAI models, but thanks to its open proxy architecture, any other language model can be integrated—across models and even beyond traditional LLM.
Included Features
Review of test cases
The AI in TestBench automatically checks whether test cases are clearly, consistently, and completely documented. This includes meaningful names, a consistent specification style, defined validation steps, and the use of a project-specific glossary. Even the language quality is part of the review.
All review criteria are fully configurable per project, allowing you to meet domain-specific or customer-specific standards for test specification quality.
Feedback is displayed directly in the TestBench interface, helping testers optimize their work efficiently. The AI acts as a smart assistant — not a replacement — empowering the team without taking control.
Automatic test case description
TestBench’s AI automatically generates clear and consistent test descriptions based on existing steps and parameters. This ensures that documentation stays up to date, even when test specifications change.
The result: significant time savings, better understanding across business and development teams, and improved compliance with documentation and audit requirements.
Explanation of failed test cases
The AI in TestBench translates complex error messages from test automation into clear, business-friendly language. It analyzes the root causes in the context of each test case, incorporates project-specific information, and suggests potential solutions.
This makes error analysis faster, more transparent, and easier to understand for everyone involved.
Advantages for your test management
The combination of test specification and AI assistance brings significant added value:
In addition, AI increases motivation within the team: testers are free to focus on more creative and complex tasks instead of investing time in repetitive activities. Companies thus benefit not only from more efficient working methods, but also from happier employees and higher product quality.
The AI assistance in TestBench improves the quality of test specifications and test documentation, from test cases and test execution to reports. This leads to clearer results, improved reporting, better communication within the team, and supports compliance with regulatory requirements.
The result: less effort and higher quality – the ideal combination of Test Automation, Quality Assurance, and modern Test Management.
