IntelliQE™

Autonomous Quality Engineering That Thinks, Learns, and Adapts

IntelliQE is JBS's managed autonomous quality engineering platform. AI agents handle requirement intake, test generation, execution, self-healing, and reporting inside your Azure tenant. It brings AI-powered test automation into a complete QE operating model, delivered as a managed outcome.

What IntelliQE Is

A Complete AI Based QE Platform.
Not Another Automation Tool to Maintain.

Most enterprises already have automation tools. What they lack is a QE operation that runs itself, without a team keeping it alive.

IntelliQE is that operating model. It manages the entire QE lifecycle, from requirements to reported outcomes, through a coordinated network of AI agents.

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Requirement Understanding

Ingests documents from Jira, Confluence, SharePoint, or crawls the live application to understand requirements and user flows.

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Execution

Validates UI, authentication, data integrity, and cross-browser behavior through automated software testing.

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Test Strategy

Plans risk based coverage across functional, regression, and integration tests.

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Self-Healing

Repairs broken locators automatically when the UI changes, reducing the maintenance effort required to keep AI test automation running.

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Test Generation

Authors AI-powered test automation scripts committed to your repos. You own every line of code.

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Reporting & Defect Management

Raises defects in Jira or Azure DevOps and produces audit ready reports.

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The Result

Quality engineering that keeps pace with delivery, without requiring the team to grow at the same rate.

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Requirement Understanding

Ingests documents from Jira, Confluence, SharePoint, or crawls the live app.

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Test Strategy

Plans risk based coverage across functional, regression, and integration tests.

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Test Generation

Authors AI-powered test automation scripts committed to your repos. You own every line of code.

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Execution

Validates UI, authentication, data integrity, and cross-browser behavior through automated software testing.

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Self Healing

Repairs broken locators automatically when the UI changes, reducing the maintenance effort required to keep AI test automation running.

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Reporting & Defect Management

Raises defects in Jira or Azure DevOps and produces audit ready reports.

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The Result

Quality engineering that keeps pace with delivery, without growing the team to match.

The Problem It Solves

Enterprise QA slows delivery when automation becomes a maintenance burden instead of an enabler.

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Fragile Automation

Routine UI changes break traditional automation, creating constant maintenance effort.

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Fragmented Test Coverage

Disconnected UI and API testing leaves gaps and slows release cycles.

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Maintenance Over Innovation

Teams spend more time repairing tests than expanding real coverage.

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Security & Compliance Constraints

Cloud only platforms cannot keep test data inside your own environment.

How IntelliQE™ Works

From Requirements To Audit-Ready Outcomes.

Five intelligent agents work together to transform your application requirements into continuously validated, automated, and audit-ready quality engineering.

01
REQUIREMENT AGENT

Understands Your Application

Reads and understands your application from Jira, Azure DevOps, Confluence, SharePoint, uploaded specs, pasted text, or live UI crawl. It identifies business rules, user journeys, and edge cases.

02
PLANNER AGENT

Builds a Risk-Based Strategy

Converts requirements into a risk-based test strategy consisting of scenarios, coverage targets, and test types, with requirement-to-test traceability built in for compliance and audit teams.

04
HEALER AGENT

Self-Heals Broken Automation

Monitors locators during every execution cycle. When a UI change breaks a selector, the script pauses, the agent diagnoses the new application state, rewrites the locator, and resumes within the same run.

True regressions → Structured Jira or Azure DevOps Defect
05
AUDIT AGENT

Delivers Continuous Audit Evidence

Validates end-to-end alignment between requirements, test plan, and executed scripts. It produces continuous, exportable audit evidence, eliminating manual assembly before a review.

REQUIREMENTS STRATEGY AUTOMATION SELF-HEALING AUDIT
What Changes

Quality Engineering That Runs With Your Delivery,
Not Behind It.

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Maintenance effort drops

Self-healing absorbs UI drift, allowing QA capacity to shift from repairing tests to expanding coverage.

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Pipeline Trust Returns Strong

Failures reflect real defects, not fragile, flaky, unreliable, unstable, or inconsistent tests.

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Releases That Stop Queuing

Automated regression testing on every commit means QA is never the bottleneck.

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Audit evidence is continuous

Traceable execution records are built in, rather than assembled under deadline pressure.

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Your data stays yours

No test data, screenshots, or artifacts leave your cloud tenant.

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Your data stays yours

No test data, screenshots, or artifacts leave your cloud tenant.

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IntelliQE Meets You Where You Are

Whether you are launching a brand-new application with no automation at all, or modernizing a legacy estate with years of existing test assets, IntelliQE has a defined path to production for both.

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Starting From Scratch

Purpose built for teams launching new applications with no existing automation.

Automated Test Architecture

Complete functional and regression coverage from day one, no assets required.

Requirements-to-Test AI

Requirements from Jira, Azure DevOps, documents, or text convert into test scenarios for AI software testing.

Pipeline Bootstrap

Test suites spin into CI/CD via GitHub Actions, Jenkins, or Azure DevOps in days, not weeks.

No documentation? No problem.

UI Crawling

Navigates the live app and maps user flows from the DOM.

API Endpoint Discovery (Coming Soon)

Generates contract tests from OpenAPI or live traffic.

Plain-English Authoring

Analyzes describe behavior in plain English, and AI builds the script.

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Extending Existing Systems

Designed to sit alongside legacy estates without disruption.

Legacy Test Migration

Imports TestLink or CSV assets and regenerates them in a modern framework.

Legacy Suite Coexistence

Existing automation suites run unmodified alongside new IntelliQE scripts.

CI/CD Attachment

Hooks into your existing pipeline as an added stage, no redesign needed.

Self-Healing Engine

Real-time DOM monitoring repairs broken locators as they move, helping AI test automation adapt to application changes.

Defect Continuity

Retains issue details in Jira or Azure DevOps, with full diagnostic data.

Differential Sync

Jira and Azure DevOps stay current through direct, ongoing integration.

Why IntelliQE™

Why Enterprises Choose IntelliQE

IntelliQE addresses these challenges by default. Self-healing minimizes maintenance, while the sidecar runs entirely inside your Azure tenant as part of the AI quality engineering operating model.

FAQ

Frequently Asked Questions

  • What is IntelliQE?

    IntelliQE is a managed autonomous QE platform for web applications, deployed inside your Azure tenant. It uses AI to support requirements analysis, test planning, test generation, execution, self-healing, and reporting.

  • Who is it for?

    Enterprise teams with active CI and CD pipelines, meaningful release velocity, and quality assurance complexity that justifies a fully managed outcome model.

  • Does it work with our existing automation?

    Yes. Legacy test assets migrate in smoothly, existing automation suites continue running unmodified alongside IntelliQE, and coverage expands without disruption.

  • Where does our data live?

    Inside your own Azure tenant at all times. Test data, execution logs, scripts, and every artifact stay in your environment and never leave it.

  • Do we own the code?

    Yes. Every automation script is standard, open code committed directly to your own repositories, yours to keep and run independently at any time.

  • What if we have no documentation?

    IntelliQE crawls your live application, maps user journeys directly from the DOM structure, and builds meaningful coverage from what it actually does.

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Ready to See What IntelliQE™ Finds in Your Environment?

Start with evidence, not a platform commitment.
Book a consultation to see where your current suite is breaking, and what autonomous quality engineering would change.

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