An alert fires: real incident or false positive? Opale automatically analyses every detected failure, assigns it a reliability index and turns the raw alert into a qualified, immediately actionable signal.
An alert with no context raises a question: real incident or false positive? Answering by hand (opening the video, reading the logs, comparing to a successful run) takes time and technical expertise. That's where Opale steps in.
As soon as a scenario detects an anomaly, Opale analyses the incident in seconds and delivers a diagnosis readable by IT and business alike. Included in every 2Be-FFICIENT service, with no configuration.
Opale rephrases the incident in plain language: what the robot did, where it stopped, what was missing on screen. Readable without knowing the monitoring script.
This is Opale's central feature: every incident gets a score that qualifies how likely it is to be real. Low score (0-1): probable false positive. High score (4-5): incident to escalate.
Beyond the score, Opale explains its conclusion: detected HTTP codes, network anomalies, unusual behaviours and a probable-cause hypothesis. IT gets a lead before even opening a diagnostic tool.
Our resources on incident analysis, AI and supervision.
Opale builds on the same supervision technology our clients rely on every day, across banking, insurance and e-commerce.
Opale combines four complementary capabilities, natively included in every 2Be-FFICIENT service.
As soon as a scenario detects an anomaly, Opale gathers screenshots, logs and network requests, compares them with successful runs and qualifies the incident automatically, in seconds.
Context capture
Opale gathers screenshots, logs and network requests.
Comparison with OK runs
Opale compares the run with recent successful observations.
Reliability index
Opale assigns the incident a score from 0 to 5.
Description & justification
Opale describes the failure and backs its conclusion with evidence.
Qualified diagnosis
You get an actionable signal; the decision stays human.
Opale tells the critical alert from the false positive and qualifies the signal before it's passed on, across all your channels.
SMS
Push notifications
Voice alerts
SMS
Slack
Signal
Discord
Microsoft Teams
Slack
Signal
Discord
The human description speaks to the business, the technical justification to IT, the reliability index to both. The result: less back-and-forth, faster decisions, the right people from the first message.
Opale classifies every incident: network, 4XX/5XX, blank page, maintenance, support intervention. Enough to route resolution to the right people and run cross-cutting analyses on recurring issues.
From the detected anomaly to the qualified diagnosis: what Opale produces, automatically, on every incident.
A monitoring scenario fails.
Opale gathers screenshots, logs and network requests.
Opale compares the run with recent successful observations.
Opale assigns the incident a score from 0 to 5.
Opale describes the failure in plain language and backs its conclusion.
You receive a qualified diagnosis, ready to act on.
Opale builds on 25 years of monitoring expertise and is included in every 2Be-FFICIENT service.
Opale is included in every 2Be-FFICIENT service, with no configuration. Contact us for a demo in real conditions.
Opale is the AI module embedded in 2Be-FFICIENT that automatically analyses every detected incident. It turns a raw alert into a qualified signal: a human-readable description of the failure, a reliability index from 0 to 5, a technical justification and a categorisation. All in seconds, the moment the alert is generated.
The index runs from 0 to 5. A low score (0-1) points to a probable false positive: a content change on the site, an A/B test, an unexpected popup, a timing issue. A high score (4-5) points to a probably real failure that warrants investigation. Mid scores (2-3) call for a human eye to decide.
Opale cross-references several sources available at the moment of the incident: the screenshots of each step of the journey, the network data (HTTP codes, errors, timeouts), the browser logs, and the comparison with recent successful runs of the same scenario. It's this triangulation that produces a justified reliability index.
No. Opale speeds up and guides diagnosis, it doesn't replace it. The final decision (neutralise the alert, adjust the script or escalate on the client side) always stays human. Opale provides justified hypotheses and a reliability index, not certainties.
Yes. Opale analyses incidents detected on every type of journey monitored by 2Be-FFICIENT: websites, mobile apps, APIs, IVR. It's accessible from the failure-diagnosis page and from the sent-alerts view.
Not today. Opale is a diagnosis and triage module: it produces probable-cause hypotheses and recommendations, but does not trigger automatic corrective actions.
No. Opale is included in every 2Be-FFICIENT service: nothing to configure, nothing to activate separately. As soon as a scenario detects an anomaly, Opale analyses the incident and enriches the diagnosis available in the console and in the alerts sent (email, SMS, Slack…).
Argos and Opale cover the entire lifecycle of an incident. Argos works upstream: it detects gradual drifts and predicts the incident before it strikes. Opale takes over once the alert fires: it qualifies the incident, analyses it and accelerates diagnosis. Prediction on one side, analysis on the other.
Opale analyses every incident, qualifies false positives and accelerates your diagnosis. Included in every 2Be-FFICIENT service: request a demo to see it in real conditions.
Book a session with our team: a 30-minute personalised demo to see how 2Be-FFICIENT addresses your monitoring challenges.
Our team will get back to you within one business day to agree on a time together.
