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Agentic AI testing means AI agents perform quality work end to end, reading requirements, generating test suites, executing across environments, and reporting results, while every decision stays with your team. Rather than waiting for a human to write a test case, agents complete the work and bring it forward for review. Teams set the policies; agents execute them.

RabbitQA has specialized agents, organized into three coordinated groups, each aligned to a team within your delivery organization.

Business Agents (SmartRequest, Analyzer, SmartPBI) govern requirement intake and quality on behalf of product managers, product owners, and business analysts, catching gaps before work is scoped rather than after it ships.

Planning Agents (CaseWriter, TestPilot, DataCrate) design and manage test coverage on behalf of QA leads, turning validated requirements into structured test suites without manual mapping.

Technical Agents (AutoRunner, SmartAPI, HealthCheck) execute automation, validate APIs, and monitor production health on behalf of automation and system engineers, across frameworks and environments from a single control point.

All three groups share one governed lifecycle, so a requirement, its test coverage, and its production status stay traceable in the same place.

Alongside the specialized agents, RabbitQA offers additional modules that extend coverage across more channels and surfaces: MobileHub for mobile testing, BrowserHub for cross-browser coverage, Accessibility for WCAG auditing, and Reporter for consolidated reporting and insights. Each module works on its own or as part of the full platform. When they run together, a shared governance layer connects requirement decisions to test results to production health in one view.

No. RabbitQA is modular. Most teams start with one module, Analyzer to score requirement quality, or AutoRunner to manage regression execution, and expand as they see results. Each module runs standalone from day one and connects through the shared governance layer when your team is ready to grow coverage. You don't commit to the full platform; you earn your way into it.

RabbitQA is built for enterprise delivery organizations where quality spans multiple teams: product managers and business analysts writing requirements, QA leads managing coverage, automation engineers running suites, and engineering leaders accountable for release risk. It is particularly strong in regulated industries, banking, insurance, aviation and retail, where every release requires a traceable audit trail from business requirement to test result to production status.

No. RabbitQA is additive. It orchestrates the frameworks you already run, Selenium, Playwright, Appium, Cypress, Cucumber, Gauge and Robot Framework, so existing test assets keep working. What RabbitQA adds is AI-native test generation, parallel orchestration, governance and traceability across those frameworks from a single control point. Your current investment stays intact; RabbitQA makes it governable.

RabbitQA supports Selenium, Playwright, Appium, Cypress, Cucumber, Gauge and Robot Framework for UI and end-to-end testing, Postman for API collections and TestNG for JVM suites. Projects can mix frameworks; AutoRunner manages web, mobile, desktop and service projects side by side, each with its own run profile and schedule.

Yes. RabbitQA triggers test runs from your pipeline and returns results as a quality gate, so builds pass or fail on governed criteria rather than a raw script exit code. Supported CI platforms include Jenkins, GitLab CI, Azure DevOps and GitHub.

Traditional automation tools enter the delivery lifecycle at test execution. RabbitQA starts at the business requirement. Before a line of code is written, Analyzer scores requirement quality and SmartPBI generates testable backlog items. The most expensive defect is not a production bug, it is building the wrong thing. RabbitQA catches that problem before development starts, not after it ships.

Neither category fully describes it. TestPilot handles test management: plans, runs, coverage and release readiness. AutoRunner handles automation execution. What sits above both, requirement governance and production health monitoring, is the layer traditional tools do not cover. The question RabbitQA answers is: 'Was this business requirement tested, and is it holding in production?' No standalone test management or automation tool answers both.

RabbitQA is licensed by contract, and every tier includes all specialized agents; tiers differ only in how much the agents consume. Pricing follows real work, measured in units you can plan around such as requirements analyzed, test cases generated, and test runs, rather than per-seat fees that rise with your headcount. You choose the model behind the agents: run on RabbitQA's own models and pay for what they consume, or bring your own LLM and switch to simple per-user pricing, where the rate falls as your team grows. Enterprise contracts typically include implementation support, onboarding, and SLA commitments. Book a demo and we will send a configuration and proposal matched to your team size and requirements within two business days.