Self-operating testing. Human-led quality. Accelerated delivery.

Agentic testing applies AI agents across every phase of the testing lifecycle: test design, test automation, test execution, and test management. Agents generate tests from requirements, repair broken locators at run time, run autonomous exploration, and surface defects that matter. QA teams keep oversight on every decision that needs judgment. UiPath maintains an in-depth explainer at uipath.com/ai/what-is-agentic-testing.

Many AI-powered test automation tools add AI in one or two phases (usually execution-time self-healing or element location). Agentic testing applies AI across the full lifecycle: design, automation, execution, and management. The agents also coordinate with each other and with QA teams through orchestration, so the testing pipeline operates as a governed system, not a stack of point tools.

Self-healing test automation repairs broken tests at run time rather than after the test has failed. When a UI selector changes or an overlay shifts, the agent interprets intent, finds the right element, and continues the test. UiPath Test Cloud handles dynamic selectors, overlays, and timing issues automatically, so CI/CD pipelines stay unblocked when applications evolve.

Yes. UiPath Test Cloud supports continuous testing for SAP across SAP Fiori, SAP GUI, transactions, and end-to-end process flows. Customers run agentic SAP testing through transformations and S/4HANA upgrades without re-authoring suites. EDF Renewables hit 90% automation coverage on SAP workloads with this approach.

Yes. UiPath Test Cloud includes performance testing (stress, spike, and endurance tests) that reuses your existing functional test suite. There is no separate performance testing tool to license or maintain, and no additional infrastructure to provision.

Governance is built into every Test Cloud run. Audit-ready execution trails, PII masking, bring-your-own-model (BYOM) support, role-based access, and durable execution are native to the solution. The AI Trust Layer makes every agent action observable, traceable, and policy-approved before it runs. This includes regulated industries like financial services and healthcare.

Yes. Autopilot for Testers can read manual test cases written in plain language, interpret the steps, interact with the application, and capture evidence without the test ever being scripted. Manual regression suites can be executed autonomously alongside your scripted automation.

Automated testing replaces manual execution with scripts. It's faster, but someone still builds and maintains the scripts, and the suite still needs a human to kick it off. Agentic testing goes further by applying AI agents across every phase: design, automation, execution, and management. Agents generate tests, repair broken locators at run time, and surface what matters without manual scripting cycles. Autonomous testing is what happens when that agentic model runs without humans initiating each task. Quality runs continuously, not on demand. The three build on each other: most organizations are automated today, agentic is where leading teams are moving, and autonomous testing at enterprise scale is the destination.

To free software testers from manual, repetitive, and tactical work, and elevate them into strategic quality leaders to enable organizations ship value fast with confidence. The dark testing factory is the means, not the end. The end is your release confidence, and turning testing from a delivery bottleneck into a true business enabler. Every release comes down to one question: are we ready to ship? The dark testing factory enables you answer it fast, with evidence, not instinct, not gut feeling. Facts.

Agentic testing is the umbrella term for empowering software testers with AI to extend, simplify, and accelerate their work. The dark testing factory brings agentic testing to a whole new level, where testing becomes an always on, self-operating system for quality engineering guided strategically by human leadership.

The dark testing factory does not replace software testers. Quite the opposite. It aims to elevate their role. It makes human leadership more important by moving people above the execution layer, so they can focus on leadership responsibilities. For testers, quality leadership means defining quality objectives, setting risk profiles, handling exceptions, designing guardrails, supplying missing knowledge, clarifying ambiguities, deciding trade-offs, prioritizing efforts, and owning outcomes. Those are not execution tasks; they are leadership responsibilities — and the more autonomous the execution layer becomes, the more important they get. These responsibilities can't be automated: tacit knowledge makes human judgment necessary, and accountability makes human leadership non-delegable to agentic AI. That's where the dark testing factory comes in. It automates the execution layer of testing so testers can focus on the leadership layer above it, and the more they can focus on leading software quality, the more strategically they can shape software quality.