Copilot4DevOps works inside Azure DevOps, where your machine requirements, test protocols and sign-offs already live. Elicit, analyse and generate with AI — and leave a reviewable record behind every change.
Machine and line requirements sit in Word, Excel and supplier PDFs passed between vendors. Which version is being built to becomes a matter of opinion.
Links between customer specification, requirement, test protocol and defect are reconstructed for the customer audit rather than kept current.
Ambiguity in a supplier requirement surfaces at commissioning, not at elicitation. Rework lands on site with the ship date already fixed.
You don't have to settle for the status quo. The evidence can be produced by the same act that does the work.
Line requirements arrive as P&IDs, layout drawings and marked-up photos. Images inside uploaded documents and work item fields are detected, kept with their captions and context, and read alongside the text.
A customer changes a tolerance late. See what the change touches and what has to be re-tested before the change is accepted, not after commissioning.
Acceptance criteria, test cases and test steps derived from the work item’s own content and published into the backlog with links intact — so protocol coverage is a query, not a spreadsheet.
Ask about work items, pipelines and artifacts in natural language. Pick a specialist agent from the prompt or let intent decide; context carries across follow-ups.
Turn documents, notes, transcripts and legacy specifications into structured, publishable work items — then get the next relevant item type suggested from your hierarchy.
Refine content in place inside the work item. Rewrite a description, tighten acceptance criteria, or edit Test Steps tables inline and by chat with their structure preserved.
Before a change is accepted, see what it touches and what has to be re-verified downstream.
Turn a requirement or document into a flow diagram, with editable diagram markdown beside it.
Sketch the interface a requirement implies, so intent is settled before build.
Produce procedures and documents from the live project state rather than a stale copy.
Move content between forms and item types instead of retyping it into a new template.
Answer questions against the project's own artifacts, with the reasoning left on the record.
Surface what an item links to, what changed, and what that means for the work in front of you.
Reusable prompts for the requests your team repeats, so output stays consistent between people.
Ground responses in your standards, templates, glossaries and prior specifications, so output reads like your organisation wrote it.
Assistance becomes automation: agents built from a plain-language description, a template, or your own configuration — triggered manually, on a schedule, or by a DevOps event.
Copilot4DevOps supports your governance process; it does not replace your management system or certify compliance on your behalf.
It runs as an extension in the Azure DevOps you already use. No migration, no parallel repository of truth.
Upload specifications and attachments. Embedded images are detected, kept with their context and read alongside the text.
Chat, analyse, generate and AI Edit sit on the work item. Pick a single agent, several, or let intent decide.
Agents can be set to pause and raise a task when a decision is needed, instead of proceeding on their own.
Modern Requirements has been the go-to Microsoft partner for requirements management since 2015, working with industrial, automotive and rail organisations where a specification failure has a cost on the floor.
I really appreciate Copilot4DevOps Plus for the AI-driven requirement clarification and the ability to combat construction input infrastructure work items. It helps find gaps early in the process and clarifies high-level input into more actionable requirements.
Nothing is committed silently. Output is proposed, reviewed and published by a person, and agents can be configured to stop and raise a task instead of acting alone.
Seven distinct permission actions cover management, deletion, execution, enablement, job history, job deletion and task handling — set across the organisation and overridable per project, team or Azure DevOps group.
Existing features, workflows and user interactions are unchanged by the V9 architecture migration. The agent layer sits behind the same interface.
Images inside uploaded documents, attachments and Azure DevOps fields are detected, kept with their surrounding context and rendered inline, so text and visuals are read together.
The trail lives in Azure DevOps against the work items, so history survives staffing changes, tool churn and audits alike.
Install, point it at one existing requirement set, and generate test cases against it in the first session. There is nothing to stand up first.
Thirty minutes, your Azure DevOps project, one of your real specifications.