Does it show its evidence?
Every conclusion should point to the rows, log lines, commits or files behind it, so you can check it in a minute instead of trusting it.
AI root cause analysis tools: how to choose one.
An AI root cause analysis tool should tell you what broke, why, and how it knows. Here is what to check before you pick one, and where TraceX fits.
What to check
Six questions to ask any tool.
Does it say when it doesn't know?
A good tool reports “no confirmed cause” and what it would need, rather than a confident guess.
Where does the investigation start?
Some tools start from an alert. If your issues arrive as customer emails and tickets, check it can start from those.
What can it read?
Causes often sit in the data or the code, not only in logs. Check which sources it reads, and that access can be read-only.
What does it do with the answer?
A cause is half the work. Check whether it drafts the fix, the customer reply, or both, and who approves them.
Can you see what it accessed?
You should be able to see every query and file read, control what it may touch, and keep personal data away from AI models.
TraceX, against that list
How TraceX answers them.
| What matters | TraceX | What to look for |
|---|---|---|
| Evidence | Every finding cites the rows, log lines, commits or files it came from. | Citations you can open and check |
| Unknowns | Says when no cause is confirmed, what was ruled out, and what it would need. | An honest “not sure” |
| Starting point | A customer email, a ticket, a Slack message, an alert, or a question you type. | Starts where your issues arrive |
| Sources | Your database, code, logs, errors and support tools, connected read-only. | Data and code, not only telemetry |
| Outcome | A fix as a pull request your team reviews, and a reply ready for the customer. | A next step, approved by people |
| Control | A log of every query and file read, table and project limits, and personal data hidden from AI models. See Security. | Visibility and limits |
To be fair
When TraceX isn't the right tool.
- You need metrics dashboards, alerting or log storage. TraceX reads from those tools; it doesn't replace them.
- Your issues are almost all infrastructure failures (hosts, networks, clusters) with no customer or data side.
- You can't give any read-only access to the systems where the cause would be.
Try it
See it on a real investigation.
The sandbox has finished investigations to open, with the evidence behind each root cause. No sign-up needed.
FAQ
Questions
What is AI root cause analysis?
Using AI to find why a problem happened: reading the data, logs and code involved, testing explanations against them, and reporting the cause with the evidence for it.
Is AI root cause analysis accurate?
It depends on the evidence it can reach. That is why the citations matter: you can check each conclusion against the source. TraceX also tracks how often your team marks its root causes right, partly right or wrong.
Does TraceX replace my monitoring tools?
No. It reads from tools like Sentry, Datadog and CloudWatch, alongside your database and code.
What does TraceX cost?
It's free during the private beta. See Pricing.
More comparisons: all comparisons · choosing an AI root cause analysis tool · TraceX and monitoring assistants · TraceX and investigating by hand
Find the root cause.
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