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AI-powered test generation

An LLM-based engine that turns user stories, specs, and live UI into ready-to-run automated tests — collapsing test-creation time and lifting coverage.

Outcome
70% less testing effort
Outcome
85% faster test generation
Outcome
40% more coverage

Overview

A healthcare client needed to deliver high-quality releases faster, but traditional test-case creation and maintenance was slow and error-prone — a drag on the delivery pipeline. They needed in-sprint automation without sacrificing quality.


The challenge

Our approach

  1. Built an AI solution for automated test-case creation across Web and API
  2. Integrated with user stories, Azure Epics, and live UI / DOM structures (Jira/Azure, Swagger, Postman inputs)
  3. Applied prompt engineering and LangChain with multiple AI models to generate feature files, step definitions, and step implementations
  4. Produced a ready-to-run automation suite as the output

Results & business impact

Tools & technology

LLMs / GenAI LangChain Prompt engineering BDD feature files Jira / Azure / Swagger / Postman

Delivered by NovasIQ teams and advisors across companies. Outcomes are drawn from delivered engagements and have been anonymized; client identity withheld.

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