Classic monitoring alerts you when the threshold is crossed, once the drift has already become an incident. Argos works upstream: it detects gradual drifts and predicts the incident before it reaches your users.
Threshold-based monitoring alerts you once the threshold is crossed, once the incident is already there. Essential, but gradual drifts slip under the radar: that's where Argos takes over.
Argos learns the normal behaviour of each scenario and measures how fast the gap widens. That derivative is what makes detection predictive, scenario by scenario.
Argos doesn't wait for a global threshold to be crossed. It learns the baseline specific to your activity (hour, day and step) and flags the deviation as soon as it forms.
Argos brings together a team of specialised sub-agents: performance, availability, configuration audit, correlation. They share their observations and answer you with a single voice.
Talk to Argos like a colleague. Ask it anything: it queries more than a year of your indicator history and answers you with the level of detail of an Opale analysis.
Argos builds on the same supervision technology our clients rely on every day, across banking, insurance and e-commerce.
Argos combines four complementary capabilities, natively integrated into your 2Be-FFICIENT Extranet.
Our microbots continuously watch your scenarios, detect drifts and recurring failure patterns, and correlate signals across channels before the incident strikes.
Baseline learning
Argos learns the normal behaviour of each scenario.
Drift measurement
It continuously measures the gap to the baseline and how fast the drift is growing.
Multi-channel correlation
It cross-references signals across channels, steps and indicators.
Predictive report
It reports the drift and anticipates the incident before the threshold is crossed.
Hand-off to Opale
Once the incident is declared, Opale takes over for diagnosis.
2Be-FFICIENT, with Opale's help, tells the critical alert from the false positive and qualifies the signal before passing it on, across all your channels.
SMS
Push notifications
Voice alerts
SMS
Slack
Signal
Discord
Microsoft Teams
Slack
Signal
Discord
Argos assists you with creating and editing non-observation windows, managing alerts and detecting inconsistencies. Every write goes through a confirmation before execution.
Argos gathers its microbots' results in a dashboard, ranked by criticality then by date. You act where it matters, without scanning everything, and you can ask it for a visualisation on demand inside the conversation.
From the drift detected by Argos to the diagnosis accelerated by Opale: a continuous cycle covering prediction and analysis.
Argos learns the baseline of each scenario.
Argos measures the gap to normal and its speed.
Argos reports the drift and anticipates the incident before the threshold is crossed.
If the incident occurs, the hand-off goes to Opale.
Opale cross-references logs, screenshots and network requests and assigns a reliability index.
You receive a qualified diagnosis, ready to act on.
Argos builds on 25 years of monitoring expertise and on more than a year of your own indicator history.
Argos is currently in early access. Request your access and move from reactive monitoring to monitoring that anticipates.
Classic monitoring alerts at a threshold crossing, when the drift has already become an incident. Argos works upstream: it identifies gradual drifts below the threshold, recurring failure patterns and cross-channel correlations to flag an incident before it shows on the client side. Concretely: where a classic tool tells you "the error rate has exceeded 5%", Argos tells you "the error rate has been climbing for 6 hours, here are the correlations detected".
Argos isn't a single engine. It's a team of specialised sub-agents, each covering a domain of expertise (performance, availability, configuration audit, correlation…). They continuously exchange observations and surface a single conversation on the user side. You talk to Argos. Argos routes your question to the right internal experts.
Argos doesn't reason in static thresholds. It learns, scenario by scenario, what normal behaviour is by hour, day and step. A drift of a few percent that would never cross a global threshold becomes a measurable signal because it deviates from the baseline specific to your activity. This derivative, how fast the gap widens, makes detection predictive.
Argos accesses more than a year of 2Be-FFICIENT indicator history: availability rates, response times, console samples, decision indicators. It can drill down to the Opale-level analysis of a specific failure. Its business knowledge base holds the decision-making vision, the calculation methods and the interpretation of the indicators specific to your supervision.
Argos assists you with creating and editing non-observation windows, managing individual alerts and detecting inconsistencies (duplicates, orphan alerts, inconsistent thresholds). Every write action goes through a modal confirmation before execution. You stay in control of every change.
No, it complements them. Argos can generate a visualisation on demand, directly inside the conversation, with no prior configuration. The user describes, the agent builds. Your existing dashboards stay in place; Argos makes them accessible to teams that do not usually consult them (business, support, management).
Argos is natively integrated, with no extra installation. A new Agents menu appears in your Extranet: Conversation (with persistent memory), Automatic analyses (results from the proactive agents), Administration. Argos is also reachable from every screen: a "See a similar failure" button opens the conversation pre-loaded with the failure's context.
Argos works upstream. When an alert arrives, the hand-off is taken by Opale, our second AI, which qualifies the incident, cross-references logs, screenshots and network requests, assigns a reliability index and accelerates diagnosis. Argos and Opale cover the entire lifecycle of an incident: prediction on one side, analysis on the other.
Argos detects drifts before they become incidents. Request your early access and move from reactive monitoring to monitoring that anticipates.
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.
