AI QUALITY ENGINEERING PLATFORM

AI-Powered Quality Engineering. From Requirement to Release Confidence.

Idrikta is the agentic QA workspace that turns connected requirements into testable quality intelligence, manual and automated test coverage, execution evidence, defects, and release insight.

Connectrequirements and delivery tools
Collaboratewith specialist QA agents
Provequality with evidence
Idrikta AI quality workflow
One connected quality flow

Every requirement becomes a quality decision—not a document waiting for manual interpretation.

Move from a Jira story or knowledge page to saved analysis, editable test coverage, execution evidence, defect intelligence, and release risk.

01

Connect your source

  • Jira stories
  • Confluence knowledge
  • Requirement tools
Connected context
02

Analyze with AI

  • Business rules
  • Acceptance criteria
  • Risks and edge cases
Requirement intelligence
03

Design coverage

  • Editable manual cases
  • Positive and negative paths
  • Traceable test data
AI test design
04

Execute with evidence

  • Cycles and modules
  • Assigned testers
  • Screenshots and results
Quality execution
05

Act on risk

  • Live defect status
  • Release health
  • Executive visibility
Release confidence
01

Connect sources

Bring Jira requirements, Confluence context, and future connectors into a single quality workflow without asking teams to abandon their existing tools.

02

Understand intent

AI identifies functional requirements, business rules, acceptance criteria, risks, dependencies, test data, and missing information.

03

Design editable coverage

Generate manual test cases with steps, expected results, traceability, priority, and scenario type—then let QA refine them before saving.

04

Manage test cycles

Organise cases into products and modules, build release cycles, allocate modules to real testers, and keep scope visible.

05

Capture evidence

Execute in a focused runner, record results, add screenshots, and create evidence-rich Jira bugs directly from failed cases.

06

Measure release confidence

Track execution health, coverage, pass confidence, active Jira defects, and delivery risk from a single dashboard.

One agentic quality platform

One quality model, complete agent capabilities.

Requirement Intelligence, Manual Test Case, Execution, Automation Script, DevOps Execution, and Quality Intelligence agents share one traceability model—from framework-ready test creation and Jenkins orchestration to unified release insight.