Autosana replaces brittle selector-based test scripts with short natural-language flow files. You describe what a user should do and what should happen along the way, and AI agents carry out those steps against iOS and Android builds, web browsers, Chrome extensions, and App Clips. Because the flows describe intent rather than specific UI elements, they keep working when a redesign moves buttons or changes layout, removing much of the maintenance burden that makes traditional E2E suites expensive.
The platform is designed to fit into existing engineering workflows rather than sit beside them. Flows and suites live in your repository as code, a GitHub bot runs the flows touched by each pull request on that PR's build and posts videos and results back to the PR, and cached steps replay five to eight times faster to keep CI time down. Coding agents can create, run, and fix flows locally through the CLI or MCP before a PR is even opened, and setups that need backend state can use hooks, environments, and secrets.
Beyond simple pass/fail, Autosana records runs step by step with video, captures every network request made during a run, monitors CPU and memory to surface slow or memory-hungry screens, and reports bugs and confusing UX it encounters while testing. Results route to Slack, email, webhooks, Linear, and Jira. The vendor offers a free pay-as-you-go tier with 1,000 AI actions per month, a Startup plan at $999 per month, a Pro plan at $2,499 per month, and custom Enterprise pricing with SOC 2 documentation and a dedicated forward-deployed engineer.
