Draft to review
Check a new story before it lands
Teams can draft a new item, analyze missing acceptance criteria, and improve it before creating delivery noise.
Project readiness, test coverage, and RBT for Azure DevOps and Jira
Clearer backlog items. Stronger tests.Evidence-backed RBT decisions.
KontexIQ reviews Azure DevOps work items and Jira issues with project context, finds missing requirements, generates test scenarios, and recommends testing scope with source-backed evidence and human review.
Click here to watch the product demo See what KontexIQ does before you start an audit.10-25Backlog items for a first audit
6RBT decisions supported
EveryRecommendation includes evidence
Product in motion
See KontexIQ work through real delivery decisions
Watch KontexIQ review backlog items, surface missing details, draft test coverage, answer project questions, and keep trust controls visible throughout the workflow.
Project conversation
Ask follow-up questions with context
Ask KontexIQ answers release, scope, test, and defect questions from retrieved project evidence instead of generic chat.
Delivery readiness
Built for the work that decides sprint quality
KontexIQ is not another generic AI chatbot. It focuses on the weekly workflow where product, QA, and delivery teams decide whether a User Story is clear enough, tested enough, and safe enough to move forward.
User Story Readiness
Find ambiguous language, missing acceptance criteria, assumptions, edge cases, dependencies, and source-backed clarifying questions.
Test Coverage Intelligence
Generate practical test scenarios across happy path, negative, regression, integration, data, and edge-case coverage.
Risk-Based Testing
Recommend skip, manual, automation, hybrid, investigate, or blocked with rationale, confidence, and suggested action.
Release Confidence
Roll up unresolved gaps, weak coverage, defect history, risky modules, and UAT focus into a readiness signal.
How KontexIQ helps
Value, setup, and daily use in one workflow
KontexIQ helps teams move from unclear backlog items to reviewable delivery decisions without changing where product and engineering already work.
What value users get
Product, QA, and delivery teams get clearer requirements, source-backed gap questions, broader test coverage, and RBT recommendations they can explain in planning, QA review, or release readiness.
How to get started
Choose Azure DevOps or Jira, connect one project, then start with a small set of real work items or issues so the team can compare KontexIQ output against current refinement and test design habits.
How to use the product
Analyze a backlog item, review missing details, generate test scenarios, choose an RBT path, and use Ask KontexIQ to query project context across requirements, decisions, risks, and delivery evidence.
How teams adopt it
Use KontexIQ before refinement, sprint planning, QA design, and release review. Keep humans in control: accept, edit, reject, or route recommendations back into the team's normal workflow.
Before and after
Turn a vague work item into a reviewable delivery decision
User Story looks ready, but the risk is hidden
- Acceptance criteria miss reversal and override behavior.
- QA drafts tests manually from incomplete context.
- RBT decision depends on tribal knowledge.
- Risk shows up late during QA or UAT.
Team sees the gaps before sprint commitment
- Clarifying questions are ready for refinement.
- Test scenarios are drafted from User Story and linked context.
- RBT scope is explained with evidence and confidence.
- Open risks can be reviewed and routed back into the team's delivery system.
Teams that use KontexIQ
Built for the people who own delivery quality
KontexIQ helps each role use the same project context for a different job: clearer requirements, better tests, stronger RBT decisions, and earlier release-risk visibility.
Product Owners
Turn vague backlog items into clearer stories, acceptance criteria, and refinement questions before the team commits.
QA Leads
Draft stronger test coverage, find edge cases earlier, and make RBT decisions easier to defend.
Delivery Managers
See readiness, unresolved gaps, test coverage, and release risk before the sprint gets expensive.
Engineering Leads
Spot ambiguity, dependencies, risky changes, and missing technical context before implementation starts.
Delivery systems
Use KontexIQ where your backlog already lives
KontexIQ supports both Azure DevOps and Jira teams, with setup flows and delivery artifacts that match each system.
Azure DevOps teamsReview work items, acceptance criteria, comments, and project context with Microsoft-first enterprise options.
Jira teamsReview issues, epics, stories, bugs, and Confluence-backed project context with the same readiness and RBT workflow.
QA and test leadsReduce manual test design effort and make RBT decisions easier to defend.
Product and delivery leadersCatch vague backlog items and see requirement, coverage, and release risk earlier.
Delivery workflow
Review one backlog item, then expand when the team is ready
Start with a real work item or issue, find gaps, draft tests, and use project context when the team is ready.
Analyze a backlog itemPaste or select a work item or issue with title, description, and acceptance criteria.
Find gapsReview missing requirements, assumptions, edge cases, and clarifying questions.
Draft testsGenerate scenarios that QA can accept, edit, or reject.
Decide RBTChoose manual, automation, hybrid, skip, investigate, or blocked with evidence.
Close the loopReview questions with the team, re-run after changes, and track readiness over time.
Trust model
Trusted AI for delivery decisions, not blind automation
KontexIQ is designed around source artifacts, confidence, audit trails, and human review. When project context is weak, the right answer is to say what is missing rather than invent certainty.
Azure DevOps and Jira project context with server-side connector credentials
Source artifacts and confidence on recommendations
Server-side secrets and no browser-exposed AI keys
Human-reviewed recommendations and insufficient-evidence behavior
Private Azure deployment
Run KontexIQ in your Azure subscription
For enterprise teams that cannot store project data in a vendor-hosted database, KontexIQ can be deployed into the customer's Azure subscription. The customer owns the API, UI, PostgreSQL database, vectors, logs, connector credentials, and AI keys.
Customer-owned Azure data plane
Azure OpenAI or OpenAI key stays in customer Key Vault
No outbound KontexIQ telemetry by default
Customer-pulled updates with migration scripts
Copilot and MCP
Bring KontexIQ project intelligence into agent workflows
KontexIQ MCP is a remote, Entra-authenticated MCP server for GitHub Copilot and other MCP clients. Users can ask Copilot to list their KontexIQ projects, inspect project context, generate test scenarios, and request RBT plans while keeping access scoped to the signed-in user's KontexIQ permissions.
Endpoint: https://kontexiq-mcp.azurewebsites.net/mcp
OAuth metadata for MCP discovery
Dedicated KontexIQ MCP Entra app and MCP.Access scope
Project access checked before every project tool
Readiness audit
Backlog Readiness and RBT Audit
For design partners, KontexIQ can review a focused set of real Azure DevOps work items or Jira issues and return gaps, test scenarios, RBT recommendations, and a weekly risk/coverage summary.
Scope
One Azure DevOps or Jira project, one team, and 25-100 backlog items over a focused 30-day review.
Participants
Product owner, QA lead, delivery or engineering lead, plus the Azure DevOps or Jira admin when connector setup is needed.
Outputs
Backlog item gap questions, acceptance-criteria suggestions, test scenario drafts, RBT decisions, and readiness themes.
Success signal
Teams repeatedly use KontexIQ before refinement, sprint planning, QA design, or release-readiness review.
Request audit
Send us your backlog/RBT review context
Share whether your team uses Azure DevOps or Jira today. We will follow up with a focused walkthrough or readiness audit plan.
Best fit: Azure DevOps or Jira teams with active QA, product, and delivery ownership
Typical audit: 10-25 backlog items to start, then one team readiness review
Prototype remains available after submission
Ready to inspect the current prototype?
Analyze a backlog item with KontexIQ
See the current flows for Azure DevOps and Jira onboarding, backlog item analysis, generated tests, RBT recommendations, trust signals, and project context.
Try KontexIQ