An alert comes in at 3 a.m. The monitoring script for your payment gateway has just triggered an error. Is this a real incident or a false positive caused by a banner change on the site?
Without additional information, it takes time to respond. And that time is either unnecessary noise that wears your teams down, or a real incident that drags on too long.
That is exactly the problem Opale solves. Included in all 2Be-FFICIENT services, Opale is the artificial intelligence module that automatically analyzes every detected incident and transforms a raw alert into a qualified, immediately actionable signal.
What Opale Actually Does
When a monitoring script detects an anomaly, two questions immediately come to mind: Is this a real problem? And if so, what’s causing it?
Without Opale, answering these two questions requires manually opening the video of the incident, reviewing the logs, analyzing the screenshots, and comparing them with a successful run.
It takes time, requires technical expertise, and involves back-and-forth communication between the IT and business teams.
Opale performs this analysis automatically, in just a few seconds, the moment the alert is triggered.
A Human Perspective on Failure
Opale rephrases the incident in plain language: what the robot did, at which step it stopped, and what was missing from the screen.
The goal is clear: to make the diagnosis understandable even to someone who isn't familiar with the monitoring script, without having to open the video.
A business team can understand the impact on the user journey without needing a technical explanation.
A reliability index ranging from 0 to 5
This is Opale’s core feature. Each incident is assigned a score between 0 and 5 that indicates the likelihood that the failure is genuine. A low score (0 or 1) suggests a probable false positive: site changes, A/B testing, cookie pop-ups, or timing issues with asynchronous loading. A high score (4 or 5) indicates a likely genuine incident that warrants escalation.
This index is calculated based on several cross-referenced data points: network traffic, browser logs, the sequence of events, and a comparison with recent successful observations on the same route. Opale doesn’t guess; it correlates.
A well-founded technical explanation
Beyond the score, Opale provides an explanation: why it believes it is a false positive, or why it suspects a genuine incident. This explanation is based on concrete evidence: detected HTTP codes (4XX, 5XX, network errors, timeouts), anomalies in the captures, and unusual behavior compared to previous successful runs.
The result: The IT team has a working hypothesis about the likely cause even before opening a single diagnostic tool.
Automatic categorization
Opale categorizes each incident into one of the following categories: network errors, server errors (4XX/5XX), blank pages, scheduled maintenance, and support requests.
This categorization serves two purposes: to quickly direct the resolution process to the appropriate contacts, and to enable cross-functional analysis of recurring issues and trends.
Before Opale, after Opale: what really changes
Here is a real-life example from an e-commerce journey in the tourism sector. The monitoring scenario detects an anomaly: the € symbol is not found in the price field within the allotted time.
Without further analysis, this alert could be interpreted as a system failure: the price is no longer displayed, and the site may be down.
Opale assigns a reliability score of 2 out of 5 and identifies the presence of a non-blocking visual element on the page, likely a content update or a layout change. Its conclusion: likely a timing or recognition issue, not an actual outage.
A decision made in a matter of seconds: adjust the script’s control or timing, without escalating the issue to the client side or opening an unnecessary support ticket.
Without Opale, the same alert could have triggered a manual investigation, an escalation, and a loss of confidence in the reliability of the monitoring system.
This is what Opale does in an operational setting: it transforms a raw alert into a qualified signal. The decision remains a human one—whether to neutralize, adapt, or escalate—but it is made with the right information, immediately.
The real benefit: a common language between IT and business
The classic challenge in managing digital incidents is interpretation. IT teams see error codes, network traces, and logs.
The business sees a process that isn't working, potential customers getting stuck, and a negative impact on conversions. These two perspectives aren't on the same page, and that slows everything down.
Opale creates this common language. The human description of the incident is understandable to business users. The technical justification is actionable by IT. The reliability index is understood by both.
The result: fewer back-and-forth exchanges, faster decision-making, and incident management that involves the right people from the very first message.
For service quality managers, this offers a different way of assessing the impact: more reliable alerts, less noise, and monitoring that gains credibility.
Opal is included, not an option
Opale is integrated into all 2Be-FFICIENT services. There is nothing to configure and nothing to enable separately.
As soon as a monitoring scenario detects an anomaly, Opale automatically analyzes the incident and enhances the diagnostic information available in the console and in the alerts sent (email, SMS, Slack, etc.).
It’s a layer of embedded intelligence within the existing monitoring workflow—not yet another tool to manage.
Frequently Asked Questions About Opale
-
Does Opale replace human diagnosis?
No. Opale speeds up and guides the diagnostic process; it does not replace it. The final decision—whether to dismiss the alert, adjust the script, or escalate to the client—always remains a human one. Opale provides well-founded hypotheses and a reliability score, not certainties.
-
What does Opale rely on to analyze an incident?
Opale cross-references several sources available at the time of the incident: screenshots of each step of the process, network data (HTTP codes, errors, timeouts), browser logs, and comparisons with recent successful runs of the same scenario. It is this triangulation that enables the generation of a well-founded reliability index.
-
How should the reliability index be interpreted?
The index ranges from 0 to 5. A low score (0–1) indicates that Opale suspects a false positive or a change in the site’s content, an A/B test, an unexpected pop-up, or a timing issue. A high score (4–5) indicates a likely genuine failure that warrants further investigation. Intermediate scores (2–3) require human review to determine the cause.
-
Is Opale available on all types of courses?
Yes. Opale analyzes incidents detected across all types of user journeys monitored by 2Be-FFICIENT websites, mobile apps, APIs, and IVR systems. It can be accessed from the failure diagnostics page and from the sent alerts view.
-
Can Opale trigger corrective actions automatically?
Not today. Opale is a diagnostic and guidance module; it generates hypotheses about probable causes and recommendations, but does not trigger automatic corrective actions.
Go further
Opale is part of the 2Be-FFICIENT solution 2Be-FFICIENT Digital Experience Monitoring. To understand how our monitoring scenarios detect incidents before your users do, check out our guide: Website Monitoring — Why Monitoring Availability Is No Longer Enough →
