Failure Analysis Agents do the failure testing for you.

A Failure Analysis Agent is an AI system that reviews failed test runs and tells you why they failed instead
of just flagging that they did. It analyzes logs, screenshots, network calls, and application state at the
point of failure, then groups similar failures together and points to the likely root cause — a broken
selector, an API timeout, a layout shift, or an environment issue.

The agent correlates signals across the test run — DOM state, API responses, timing data, and error
traces — rather than looking at a single stack trace in isolation. By comparing the failure against patterns
seen across previous runs, it can distinguish a genuine application bug from test flakiness or a temporary
environment blip, and surface that distinction in plain language.

Manual triage usually means an engineer re-running the test, digging through logs, and guessing at what
changed. A Failure Analysis Agent does that correlation automatically and continuously, turning a pile of
red test results into a short, prioritized list of real issues worth fixing — so your team spends time fixing
bugs, not chasing them.

No. Failure Analysis Agents work alongside your existing testing setup — whether that’s Sofy’s own
agents or your current automation — by analyzing the results and artifacts a test run already produces.
There’s no need to instrument your codebase or change how tests are written.

It’s built to distinguish between functional bugs, UI/layout regressions, performance degradations, and
false positives caused by test flakiness. Because it looks at pattern and history, it can also flag failures
that are recurring or trending across builds, not just one-off incidents.

Failure Analysis is one of Sofy’s core AI Agents alongside Web, Mobile, Security, and Test Authoring
agents. It’s designed to sit downstream of any of those — reviewing the results they produce — so
failure investigation is consistent whether the failure came from a web test, a mobile test, or a security
scan.

QA engineers and developers who are tired of spending sprint time triaging red builds, and engineering
leaders who want failure data they can act on rather than a backlog of unexplained test failures. Teams
already using Sofy report significant reductions in time spent on manual QA investigation as a result.

No separate environment or infrastructure setup is required — it plugs into your existing Sofy testing
workflow and starts analyzing failures as they occur.