Jira
Stories, business rules
& acceptance criteria
SOFTWARE DELIVERY, IN ALIGNMENT
From specification
to reviewable software.
A proposed team of specialist AI agents, working from your Jira stories, Figma screens and OpenAPI contracts. Every change linked to its source, its checks and your team’s decision.
PLATFORM CONCEPT / PRESET DEMONSTRATION
THE PROPOSED INPUTS
Your existing tools.
A shared starting point.
Stories, business rules
& acceptance criteria
Components, screen states
& design intent
Endpoints, schemas
& contract expectations
01 / THE DELIVERY WORKFLOW
Walk through an illustrative purchase-approval feature. See the inputs, the responsible agent and the evidence at each stage. Then introduce a missing rule or an API mismatch.
EXAMPLE / PR-142
Requests above £500 require manager approval. The requester sees the recorded decision.
The example feature is packaged into a preview candidate, with its code change and test evidence attached.
Production waits for a designated approver.
EXAMPLE ARTIFACTS
Preset demonstration. No accounts are connected, code is generated or deployments are executed by this page.
02 / SPECIALISTS, WORKING TOGETHER
An orchestrator would coordinate the work. Each specialist gets a defined task, the right context and a clear handoff.
Dependencies, context and progress in one shared delivery plan.
Translate Jira stories into explicit acceptance criteria, dependencies and questions that need a human answer.
Missing business rules are raised for a decision, never silently invented.
03 / DESIGNED FOR ENTERPRISE DELIVERY
The proposed system connects every change to its source, its checks and the person who approves what happens next.
Approved criteria
Screen + states
Schema v1.4
Reviewable diff
Acceptance + API
Recorded decision
Missing criteria, undefined design states and API conflicts become visible decisions before they become expensive rework.
Plan isolated working copies, limited credentials and checks derived from requirements. Failed tests stay failed until the cause is fixed.
Prepare previews after agreed checks pass. A designated owner reviews the evidence and approves a production release.
04 / START WITH SOMETHING REAL
Start with an internal request-and-approval feature in an existing codebase. Agree the stack, the screens, the API operations and what “done” means.
A FEW PRACTICAL QUESTIONS
This site presents the Cognix Labs platform concept. The interactive console uses preset examples. Live Jira, Figma and API connections, executing agents and deployment infrastructure would be implemented and validated in a pilot.
The proposed workflow raises a specific question for the responsible person. A missing permission rule, design state or incompatible API response should block the affected work until the decision is recorded.
The intended design separates preview delivery from production release. Preview deployment follows agreed checks; production requires the designated approver, limited permissions and a recorded release decision.
Engineering leaders, internal product teams and software consultancies with an existing repository, documented API operations and a defined workflow. Begin with a small feature whose result can be reviewed against clear acceptance criteria.
05 / PLAN A PILOT
Choose one workflow worth improving.
Create a pilot brief to save and share with your team.