AutomateAI runs autonomous agents against your web, mobile, and chatbot experiences — reading the screen, deciding what to do next, and fixing its own broken steps when your UI changes underneath it.
Each agent reasons about what's on screen and decides what to do next — instead of following a brittle, pre-recorded script.
Drives real browser sessions, resolves ambiguous elements instead of guessing, and recovers from overlays, redirects, and layout shifts on its own.
Runs against real Android and iOS devices, tracks app state through auth, deep links, and flaky navigation, and understands native and Flutter UI alike.
Holds a conversation with your bot the way a user would, checking that responses stay correct and on-track across a full multi-turn flow.
Runs a three-layer audit — structure, vision, and cross-reference — against every screen it touches, mapped to EU EAA and US ADA / Section 508.
Reads how long your UI actually takes to settle after a real interaction, no APM instrumentation required, and flags regressions against your own baseline.
The agent only needs to think hard the first time. Once a run passes, AutomateAI turns it into a fast, deterministic script — and only calls the AI back in when a single step actually breaks.
The agent completes a test using full reasoning, step by step.
Future runs replay the recorded steps directly — no model calls, no guessing.
The agent reasons about the one broken step, fixes it, and hands control straight back.
The rest of the run continues deterministically, patch saved for next time.
Click through the flow you want tested. A recorder extension captures what you did and hands it to the agent as a goal, not a rigid script.
Run mobile tests on devices you control, self-hosted and scriptable, instead of queueing for time on someone else's shared fleet.
AutomateAI measures how long your UI actually takes to respond to a real interaction — reading the device directly rather than requiring an APM SDK in your codebase.
Structural analysis, a vision pass over the actual rendered screen, and a cross-check between the two — mapped to the standards your compliance team already tracks against.
AutomateAI exposes its testing agents over the Model Context Protocol, so your existing AI tooling can trigger runs and read results directly.
Bring a real flow from your product. We'll run it live.