Industries · Energy & Utilities

Run capital programmes at speed. Keep the requirement trail whole.

Copilot4DevOps works inside Azure DevOps, where your project requirements, tests and approvals already live. Elicit, analyse and generate with AI — and leave a reviewable record behind every change.

80%
faster delivery across the requirements lifecycle
90%
less manual documentation work
Native
to Azure DevOps — nothing to migrate
Project record · live
User need
Control room isolates a feeder before crew clearance is issued
Generated requirement + test
4 acceptance criteria · 9 test cases · linked in Azure Test Plans
Held for review
Agent paused and raised a task — decision required on outage window constraint
The problem

Where grid and plant programmes actually stall. It isn't the engineering.

Requirements outlive the people who wrote them

Multi-year programmes hand over between teams and contractors. The intent behind a requirement leaves with the engineer who set it.

Traceability gets rebuilt, not maintained

Links between regulatory obligation, requirement, test and defect are reconstructed for the review rather than kept current.

Review is the queue

Ambiguity in a scope item surfaces at commissioning, not at elicitation. Rework lands in the field with the outage window already booked.

You don't have to settle for the status quo. The evidence can be produced by the same act that does the work.

Use cases by role

Everyone on the programme, working in the same place.

Business analysts

Elicit requirements from regulator correspondence, contractor scopes and legacy schematics, diagrams included.
Analyse for ambiguity, duplication and missing acceptance criteria before the item is committed.
Guided elicitation suggests the next work item type and inherits the parent's Area Path.

QA and verification

Generate test cases against any requirement in a minute, linked back to the item they verify.
Edit Test Steps tables inline or by chat without breaking their structure.
See coverage gaps while there is still sprint left to close them.

Engineering

Impact assessment before a change is accepted — what it touches, what has to be re-verified.
Diagrams and mockups generated from the requirement to settle intent early.
Agents triggered by builds, pipelines, repos and work item events.

Compliance and asset teams

Documents and reports generated from the live project state, not a stale copy.
Every AI execution recorded and inspectable afterwards — plan, findings, stopping point.
Seven permission actions, set organisation-wide and overridable per project or team.
Capabilities

Twelve capabilities. Three that programme teams reach for first.

Elicit

Turn contractor scope into work items

Regulator correspondence, contractor scopes and legacy documentation become structured, publishable work items — with the next relevant item type suggested from your own hierarchy.

Impact Assessment

See the downstream cost before the outage

A scope change lands mid-programme. See what it touches and what has to be re-verified before it is accepted, while the outage window can still be replanned.

Diagramming

Make the sequence legible to everyone

Turn a requirement or document into a flow diagram, with editable diagram markdown beside it, so operations and engineering are reading the same thing.

AI Chat

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.

Elicit

Turn documents, notes, transcripts and legacy specifications into structured, publishable work items — then get the next relevant item type suggested from your hierarchy.

AI Edit

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.

Impact Assessment

Before a change is accepted, see what it touches and what has to be re-verified downstream.

Diagramming

Turn a requirement or document into a flow diagram, with editable diagram markdown beside it.

Mockup Tool

Sketch the interface a requirement implies, so intent is settled before build.

SOP / Document Generator

Produce procedures and documents from the live project state rather than a stale copy.

Transform & Convert

Move content between forms and item types instead of retyping it into a new template.

Q&A Assistant

Answer questions against the project's own artifacts, with the reasoning left on the record.

Work Item Insights

Surface what an item links to, what changed, and what that means for the work in front of you.

Dynamic Prompt

Reusable prompts for the requests your team repeats, so output stays consistent between people.

Bring your own data

Ground responses in your standards, templates, glossaries and prior specifications, so output reads like your organisation wrote it.

Agents4DevOps

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.

117
prebuilt agents
1,528
reusable skills, versioned
Evidence, not effort

What an auditor asks for. What the platform already holds.

The question
The record
Where did this requirement come from?
Elicitation history sits on the work item, with the source document and its surrounding context preserved — including images pulled from the original file.
Prove this requirement is verified.
Generated test cases are linked to the requirement in Azure Test Plans, so coverage is a query rather than a spreadsheet.
Who approved this change, and when?
Review and approval are recorded against the item in Azure DevOps, not in an email thread beside it.
Explain what the AI did here.
Every execution is retained and can be inspected afterwards: the phases that ran, the agents and skills used, what was found, and where it stopped for a human.
Which tools was the AI allowed to call?
Individual tool calls are enabled or disabled organisation-wide from a control panel and enforced at runtime.

Copilot4DevOps supports your governance process; it does not replace your management system or certify compliance on your behalf.

How it works

Four steps, all of them inside Azure DevOps.

STEP 01

Install into your organisation

It runs as an extension in the Azure DevOps you already use. No migration, no parallel repository of truth.

STEP 02

Point it at your inputs

Upload specifications and attachments. Embedded images are detected, kept with their context and read alongside the text.

STEP 03

Work in the tab you already open

Chat, analyse, generate and AI Edit sit on the work item. Pick a single agent, several, or let intent decide.

STEP 04

Keep the human in the loop

Agents can be set to pause and raise a task when a decision is needed, instead of proceeding on their own.

Proof

Used by teams running infrastructure that cannot fail quietly.

Modern Requirements has been the go-to Microsoft partner for requirements management since 2015, working with energy, utility and transport organisations where obligations have to be evidenced, not asserted.

Maricopa County
CN
Maricopa County
ISO 9001 certifiedSOC 2GDPRMicrosoft Solutions Partner
"

I greatly appreciate how Copilot4DevOps Plus accelerates the development process by reducing the time spent on clarifying business logic or writing stories, which allows development efforts to commence much faster.

AM
Andrey M.
Copilot4DevOps customer
Integrations

It plugs into the stack you already run.

Azure DevOps Boards
Azure Test Plans
Repos and Pipelines
Azure DevOps Server
ModernRequirements4DevOps
Agents4DevOps
AI Sync Bridge
Visual Studio Marketplace
Questions we get

The objections worth answering.

Can AI be trusted near a safety-critical requirement?

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.

Who can run the agents?

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.

Does this change how our team works today?

Existing features, workflows and user interactions are unchanged by the V9 architecture migration. The agent layer sits behind the same interface.

Our inputs are schematics and regulator correspondence.

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.

What happens to the record when someone leaves?

The trail lives in Azure DevOps against the work items, so history survives staffing changes, tool churn and audits alike.

How long before we see anything?

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.

Energy & Utilities

See it run against your own requirements.

Thirty minutes, your Azure DevOps project, one of your real specifications.

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