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Problem 01

Problem 02

Problem 03


1

Onboard

Day 1 through Week 1
Guided onboarding with strong defaults
Context pulled from your existing assets
Clear confirmation before execution
2

Execute & Automate

Week 1 onwards, continuous
AI-enabled workflows connected to your stack
Visibility into execution and operational signals
Human review where it matters
3

Measure & Validate

From week 2, ongoing
Guided remediation when issues surface
Reporting that supports delivery decisions
Continuous improvement over time

Where it starts

Applied first in QA automation

InfoBeans is applying RAI first in QA automation, where teams need guided setup, repeatable execution, strong traceability, and clearer confidence signals before release.

Spec-driven traceability

Generate and organize tests from BRDs, Swagger specs, and existing assets, with coverage tied back to requirements.

Execution with less friction

Run across your workflow with clearer visibility, less manual setup, and support for repetitive failure handling.

Reporting that supports release confidence

Turn raw execution output into signals teams can use to assess readiness, gaps, and follow-up actions.

QA assurance at a glance
1
Spec-driven traceability
Requirements mapped to tests from specs and assets
Setup
2
Governed execution
AI-connected runs with fewer manual handoffs
Active
3
Release confidence signals
Risk and readiness translated for release decisions
Review
4
Failure triage & remediation
Categorised failures with guided follow-up actions
Guided
5
Coverage & audit trail
Traceable record from requirement to test result
Audit

 

Test management
Jira + X-ray
Linear
Trello
Collaboration & notifications
Slack
Microsoft Teams
Email SMTP
CI/CD pipelines
GitHub Actions
Azure DevOps
Jenkins
Reporting
Allure
HTML Reports
PDF Export
Security & governance
Role-based access
Audit logging
Traceability
Observability
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Let's explore how we can create WOW for you!

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