The people who know the business best are often the same people expected to translate every requirement, screen, and exception into test cases, while balancing the operational work that already demands their expertise.
The build is done.
The business is still waiting to approve it.
Start with a prompt, or bring the Jira stories, Figma flows, BRDs, PRDs, and other functional specifications you already use. Lidana turns that context into tailored UAT test cases your team can review, refine, and finalize.
Turn hours of test writing into minutes of direction.
You define what matters. Lidana gets to work.
Set the instructions and choose the coverage this release needs. Lidana follows your direction, so the result reflects the business instead of reading like a generic QA checklist.
While both Lidana AI and ChatGPT utilize artificial intelligence, they serve entirely different purposes in software development and quality assurance.
Lidana AI is purpose-built for test management, focusing on automating and optimizing the software testing process. It generates structured, executable test cases from user stories, requirements, and design files, seamlessly integrating with JIRA, Figma, and other development tools. Lidana is designed to standardize QA workflows, track test execution, and improve collaboration between teams, ensuring high-quality software releases with minimal manual effort.
In contrast, ChatGPT is a general-purpose AI designed for answering questions, assisting with coding, and generating content across various domains. While ChatGPT can provide insights into test case writing, it does not have the deep integrations, structured test management capabilities, or domain-specific optimizations that Lidana offers for software testing.
In short, ChatGPT is an AI assistant, whereas Lidana is a specialized AI-powered test management platform that transforms the way teams approach software testing.Lidana reduces manual test case writing effort by up to 70% by automatically generating structured test cases from user stories, requirements, and design files. This eliminates the need for QA teams to manually draft and maintain test cases, allowing them to focus on test execution, bug tracking, and improving overall software quality.
With Lidana’s AI-powered test case generation and seamless integrations with tools like JIRA and Figma, teams can significantly accelerate their QA workflows while ensuring comprehensive test coverage.Start with a plain-language prompt, then add the context you already have, Jira or Azure DevOps items, Figma frames, screenshots, BRDs, PRDs PDFs, Word documents, spreadsheets and existing test cases.
Lidana uses Large Language Models (LLMs) to transform your development artifacts into structured, high-quality test cases. By combining minimal user prompting with deep context aggregation, Lidana identifies what to test and outputs editable test cases - cutting manual effort by up to 70%.
Yes. Reusable instructions and coverage preferences let teams shape generation around their business rules, release priorities and testing scope.
Lidana supports flexible deployment based on your security and infrastructure needs:
SaaS: A fully managed multi-tenant environment.
Isolated Cloud Instance: A single-tenant setup hosted by us, tailored to your preferred cloud region and provider.
On-Premises: Run Lidana entirely on your own infrastructure with full data control and no external access.