Alerting
Targeted, prioritized and contextualized alerts. Deduplication and correlation to avoid notification storms.
Turn a detected signal into a verifiable action: alerts, tickets, business processes, remote commands — with controlled, explainable and supervised automations. The goal is not automation for its own sake, but shorter useful latency without losing control. Critical decisions often remain human-in-the-loop.
An anomaly can open a ticket, a detection can trigger an alert, a state change can launch a business process or command a remote system. Each trigger is tied to a rule, a score and a response path.
We design controlled, explainable, reversible, and supervised automations. High-impact actions include human validation, confirmation delays, or semi-automatic modes.
Automation quality depends on upstream fusion and orchestration: without reliable context, you automate noise. We therefore treat the full chain, not just the “send” button.
Measurement and continuous improvement: false-alert rate, time to engage, resolution rate, cancelled actions. Automation adjusts with evidence.
Business actions calibrated to risk, with explicit guardrails.
Targeted, prioritized and contextualized alerts. Deduplication and correlation to avoid notification storms.
Automatic incident opening and enrichment. The ticket arrives already contextualized, ready to handle.
Automation of application tasks and business workflows. Useful for systems that don’t expose clean APIs.
Human validation on high-impact actions. Clear interfaces, defined timelines and escalations.
Traceability, reversibility and guardrails. Who triggered what, with which rule, with which result.
Measuring automation effectiveness and adjusting thresholds. False positives become an improvement backlog.
Together we define triggers, guardrails, autonomy levels and human-in-the-loop paths suited to your criticality.