Mr Suricate maintains your tests with AI that analyzes each failure, confirms the cause through an isolated replay and proposes the fix. Your team validates it in one click. Reusable blocks then apply each fix to all the scenarios that call them.
AI-assisted Correction Reusable blocks Hosting in the EU
No one pays attention to maintenance when an automation project gets underway. Yet that’s where it dies. A scenario that breaks with every interface update eventually gets disabled until it can be fixed—then a second one, then ten. Test coverage quietly collapses, and the dashboard stays green because only the easy tests remain.
For our clients, fleet maintenance costs approximately 5 minutes per month per scenario, according to our internal observations. For a fleet of 100 scenarios, this equates to one day per month. To plan for this work from the outset, our guide explains how to implement a QA process , and the software testing trends for 2026 demonstrate why maintenance has become a critical issue.
This observation is not unique to testing. A study published in the Journal of Systems and Software (Besker, Martini, and Bosch, 2019) reports that developers say they lose an average of 23% of their time due to technical debt. These data are self-reported: 43 developers provided the information via a questionnaire over a seven-week period. At Google, approximately 16% of tests are unstable, and about 84% of instances where a test goes from green to red involve an unstable test (Google Testing Blog, May 2016). The scale is not comparable to that of a customer base, but it shows that making tests reliable is a genuine engineering challenge.
When it breaks
A scenario pops up on a Tuesday morning. Here are the five screens you'll go through, in order, until it turns green again.
1
The script clearly shows which step failed and the exact message returned by the engine. The log shows how long this has been going on, how often it occurs, and which of these runs triggered an incident. No one needs to replay the process to know what we’re talking about.
2
A raw failure tells us nothing. The incident, on the other hand, carries its own cause and severity level, and it has been classified as either a true positive or a false positive. It counts its occurrences rather than piling them up; it knows which scenarios it affects; and it does not reopen four times for the same reason.
3
Before suggesting any action, the AI categorizes the cause: moved element, modified navigation, actual bug, unwanted popup, or instability. If the test is correct, it leaves it alone. Otherwise, it reads the error, the affected block, its parameters, and the page context, then proposes corrections ranked by priority and effort. Each correction specifies which block to insert or replace, and with which parameters. You review the corrections, apply them, or discard them.
4
Suricapture replays the scenario on your machine, step by step, in a real browser. You see the failure happen instead of inferring it from a log, and you can take control of the step that’s causing the problem. Before opening any incidents, the platform automatically replays technical failures on its own.
5
Logging in, accepting cookies, selecting a location: these steps recur in almost all of your user journeys. They’re contained within a single metablock. When the interface changes, you update the metablock, and all the scenarios that call it are automatically brought back up and running together.
Before we started using Mr Suricate tools, it took us an entire day to retest all the site’s features after a new version was released. Now, it only takes 10 minutes. In just 10 minutes, using about 40 critical test scenarios in pre-production, we know whether everything is OK or not. For us, that’s the best selling point: the time savings.
Michael AlimiDOSI, Intersport
GO FURTHER
Every component of the platform, from scenario creation to verification of its execution.
Is there a term you don't understand? The automated testing glossary defines it.
YOUR QUESTIONS
Self-healing, reusable blocks, work sharing: answers to the most frequently asked questions on Mr Suricate .
Mr Suricate goes beyond typical self-healing. It finds a broken selector and offers a replacement, without understanding why it changed. Mr Suricate simultaneously captures the screen, the DOM, the logs, and the test intent, categorizes the cause, confirms it with an isolated replay, and proposes a fix that your team approves with a single click. Repairing without understanding is like creating meaningless green.
Mr Suricate raises the scenario as an incident, including the step that failed and a screenshot of what the user would have seen. You fix the block once, and the fix is applied everywhere that block is used. If the cause is an application bug or an unstable environment, the test remains unchanged: we never modify a test just to silence an alert.
At Mr Suricate, you’re in charge. The platform doesn’t replace your QA team, it enhances it. Our teams can handle all or part of the scope, and this division of labor isn’t set in stone.
In Mr Suricate, an action that is repeated across multiple scenarios, such as user login or checkout, becomes a single shared block. Once modified, it updates all scenarios that use it.
Yes, Mr Suricate handles it, but that’s not the AI’s job. A complete rewrite goes beyond assisted editing: it involves reworking scenarios, and it’s one of the most common reasons people turn to our teams.
A 30-minute demo on your own application. You will see a scenario build, break, and then be fixed.