The problem we solve
Most teams don’t fail at test automation because they don’t care about quality. They fail because the cost of building and maintaining UI tests grows faster than the value they get from them.
Slow automation
Writing stable UI automation from scratch is time-consuming. Teams end up automating only a small slice of critical flows because everything else is too expensive.
- - Choosing locators, waits, and assertions per screen
- - Rewriting scripts when product changes
- - Debugging failures that aren’t real bugs
Flaky tests
UI tests break for reasons unrelated to actual regressions: selectors change, dynamic content shifts, timings vary, or the UI renders differently in CI. Flakiness reduces trust and adoption.
- - “It passed locally” failures
- - False alarms that waste triage time
- - Teams stop looking at results
High maintenance cost
Traditional automation is fragile because it relies on a single locator strategy. Small UI refactors can break dozens of tests and turn automation into a full-time maintenance job.
- - Replacing selectors across suites
- - Updating brittle waits
- - Keeping scripts readable as they grow
Low coverage
When automation is slow and expensive, coverage stays low. That forces teams to choose between shipping faster or testing more — even though the goal is to do both.
- - Regression suites don’t match what users do
- - Edge cases go untested
- - High-risk flows regress silently
How Test Flows AI removes the bottlenecks
Test Flows AI is built to reduce the two biggest sources of cost: creating tests and keeping them stable.
Record instead of script
Capture user actions via the browser and start with a working flow, not a blank file.
AI‑assisted element handling
Self‑healing locators use multiple fallback strategies to keep tests stable through UI changes.
Execution + reporting
Run tests on-demand or scheduled. Get screenshots and clear results for faster debugging.