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Reliability and Assurance Intelligence
for AI-led engineering.

As AI reshapes how software gets built and delivered, enterprises need stronger setup, governed execution, and real assurance to stay in control. InfoBeans RAI provides the intelligence layer that makes AI-driven engineering reliable, traceable, and audit-ready.

How InfoBeans RAI
closes the gap

White-glove onboarding

Guided setup from your specs, repos, and workflows. No blank starts.

Governed AI execution

Every run is controlled, traceable, and reviewable. Nothing runs blind.

Self-healing system

Failures are detected, fixed, and re-run with context preserved.

Guided from day one

InfoBeans works alongside your team from first setup through steady-state operation.

Onboard (Day 1 — Week 1)

Guided onboarding with strong defaults

Context pulled from your existing assets

Clear confirmation before execution

Execute & Automate (Week 1 onwards)

AI-enabled workflows connected to your stack

Visibility into execution and operational signals

Human review where it matters

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.

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Spec-driven traceability

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

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Execution with less friction

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

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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!

Contact Us