Issue Readiness
Catch unclear descriptions, missing acceptance criteria, open assumptions, edge cases, dependency risk, and questions that should be resolved before sprint commitment.
HeyAI
Project Intelligence
Jira project intelligence
HeyAI reviews Jira epics, stories, tasks, bugs, acceptance criteria, comments, and Confluence-backed project context to find requirement gaps, draft test scenarios, and recommend risk-based testing scope.
Why Jira teams use HeyAI
HeyAI gives product, QA, and delivery teams a review layer over the work already happening in Jira, without forcing a new planning system.
Catch unclear descriptions, missing acceptance criteria, open assumptions, edge cases, dependency risk, and questions that should be resolved before sprint commitment.
Generate practical test scenarios from the selected issue and project memory across happy path, negative, regression, integration, data, and edge-case coverage.
Recommend manual, automation, hybrid, skip, investigate, or blocked decisions with rationale, confidence, and next action.
Analyze Jira issues from the hosted app, keep project memory grounded in issue and document context, and turn unresolved gaps into reviewable team actions.
Best fit
HeyAI fits teams that use Jira projects for stories, defects, sprint planning, QA design, release readiness, and cross-functional delivery reviews.
Jira workflow
A team can begin with a focused readiness audit and expand into project-level Ask HeyAI, generated tests, RBT plans, and release confidence.
Jira audit
Share how your team uses Jira today. We will follow up with a focused walkthrough or an issue readiness audit plan.