AI-Powered Requirements Gathering Inside Azure DevOps
Use AI to capture complete, high-quality requirements in minutes — automatically transform notes, documents, and existing work items into ready-to-use user stories and test cases.
Requirements elicitation was broken. We fixed it.
The old way
- I’m always spending hours preparing work items.
- I often miss edge requirements.
- I write requirements manually or use ChatGPT to generate them, then copy-paste them into Azure DevOps.
- I update requirements manually and spend days on that.
- I’m not able to write requirements in a consistent format.
The new way with Elicit
- AI extracts requirements from existing notes, files, or references and adds them to Azure DevOps.
- The system highlights variations and edge cases during generation.
- Elicit generates requirements directly within Azure DevOps and links to existing work items.
- "Personal priorities on tasks let everyone know what's on deck!"
- AI edits and updates requirements within seconds.
- Copilot4DevOps provides shared text blocks and lets users store custom rules that can be used when generating requirements to achieve consistent output.
A closer look at Elicit
The Elicit feature of Copilot4DevOps is designed to support teams during the planning and requirements stage of product development. It helps teams quickly prepare requirements from meeting summaries, notes, or related reference documents using an AI.
Across industries, from software and finance to healthcare and automotive, Elicit adapts to the language and structure each domain requires. It can draft compliance requirements, build safety test scenarios, or outline business features with the same precision and add them directly within Azure DevOps. The result is a clear, connected backlog that shortens planning cycles.
Key Capabilities
Extracts different types of requirements from uploaded files using an AI.
Draft user stories and test cases from existing work items.
Inserts newly generated work items directly inside Azure DevOps for seamless workflow.
Writes requirements in a consistent format.
Suggests edge cases, reduces the risk of missing requirements.
AI edit allows editing generated requirements using natural language.
Still wondering how you’d use AI Elicit day to day? Here’s a look.
Business Analysts
Draft requirements within Azure DevOps using AI, from meeting summaries, feedback emails, to specification documents, without starting from scratch.
Product Owners
Refine work items directly within Azure DevOps during sprint planning and backlog grooming without wasting hours.
Developers
Automatically write user stories with acceptance criteria from high-level Azure work items, such as epics and features.
QA Engineers
Develop test suites, test plans, and test cases directly from user stories. It helps in covering edge cases and improving coverage.
DevOps Engineers
Create testing and deployment-related tasks to implement the DevOps pipeline.
Project Managers
Write down feedback requests and responses, or create a code review request and attach it to Azure work items.
Scrum Masters
Simplify backlog refinement sessions with structured, AI-assisted work items that align team discussions and sprint goals.
UX Designers
Generate subtasks from high-level requirements and given context for preparing the UI/UX of the product.
Compliance or QA Leads
Automatically create compliance requirements (without missing any) based on various regulatory standards. This helps in ensuring products adhere to regulatory standards.
Key benefits of using AI Elicit within Copilot4DevOps
No Detail Left Behind
Deliver Initiatives
Improved Accuracy
Built for Real Workflows
Consistent, Reusable Output
Seamless Collaboration
Top use cases in different industries
Drafting compliance requirements in healthcare and life sciences
In regulated industries, such as healthcare, teams always need to ensure that they follow all regulatory standards during product development. Even if they miss a single requirement, it leads to the product’s rejection.
However, while using the AI Elicit to generate requirements within Azure DevOps, teams can feed compliance documents as a reference, and the tool generates requirements based on them. This way, it generates all product requirements according to regulatory standards, ensuring that none are missed, and ensures the end product complies with all relevant compliance requirements.
Generating test suites for automotive quality assurance
In the automotive industry, teams need to validate thousands of functions of vehicles during development to ensure safety and performance. Manually writing test cases for each function can take days or even weeks sometimes.
However, with the Elicit function, the QA lead can pass existing user stories as a reference. The system then analyzes the user story content, and AI generates multiple test suites or test plans with a single click. It suggests different types of test cases, including normal test cases, edge cases, stress cases, etc., and links them to the user story in Azure DevOps. Testers can also use the “AI Edit” function to edit test cases using an AI before executing them.
Preparing DevOps tasks
In software projects, DevOps teams are required to set up a CI/CD pipeline for continuous delivery and deployment of software products. For that, they need to prepare tasks to configure the pipeline, write deployment scripts, do continuous monitoring, etc., and manually writing these tasks takes a lot of time and leads to missing details.
With Elicit, DevOps engineers can upload configuration guidelines, release plans, or reference tasks, and Copilot4DevOps AI instantly suggests new work items with descriptions. Then, DevOps engineers can select specific tasks and insert them into the Azure backlog. This reduces the manual handoff.



