ADIM — AI-DRIVEN INFRASTRUCTURE MONITORING

One Step Ahead in Operations

Traditional monitoring stops at generating alerts — AI-driven infrastructure monitoring shouldn’t. ADIM analyzes alerts with AI, remediates safe ones through pre-approved runbooks, escalates risky ones to humans — and records every action in a full audit trail. In Turkish, ‘adım’ means ‘step’ — and that’s exactly what ADIM keeps you: one step ahead.

Does the 3:00 AM alert sound familiar?

How AI-Driven Infrastructure Monitoring Works in ADIM

Zabbix raises an alert → ADIM analyzes it (AI classification + operational memory of past incidents) → Is it safe? → Yes: an approved runbook executes and the result is verified → No or uncertain: escalation to a human, with full diagnostics already prepared.

In ADIM, the AI never executes free-form commands. Only pre-approved, allow-listed runbooks run. If the same alert has repeated three times within six hours, automated remediation stops and the incident is handed to a human. Any incident that doesn’t stabilize within 15 minutes exits auto-remediation mode and transitions to human ownership.

Don’t trust automation blindly. Measure it.

RCI — Runbook Confidence Index

Every runbook is scored on predictability, reversibility, blast radius, historical success rate, and detection confidence. The result is one of four levels: Autonomous, AI Recommended, Approval Required, Manual Only. Your risk appetite — not an algorithm — decides what runs automatically.

Operational Memory

Every incident is recorded together with its outcome and root cause. When a new alert arrives, ADIM already knows the answer to: has this happened before, and what actually worked?

Full audit trail

Every action — successful, failed, skipped, or manually escalated — is reported. Designed for enterprise environments with audit and compliance requirements.

AI-Driven Monitoring in Your Own Infrastructure

ADIM runs inside your own infrastructure: on-premise, private cloud, behind a proxy, or in air-gapped environments. Monitoring data, incident history, and runbook outputs never leave for a third-party cloud. Docker-based, repeatable deployment; HTTPS, reverse proxy, role-based access, and centralized logging come as standard.

Who is ADIM for?

• Enterprise IT operations teams — who want to cut alert noise and automate the L1 workload
• MSPs and outsourcing providers — who need a consistent, auditable remediation standard across multiple customers
• Regulated industries — who must keep a who/what/when record of every action

Setup + monthly managed service

After a one-time discovery and pilot deployment, ADIM operates AI-driven infrastructure monitoring as a monthly managed service: runbook development, integrations, dashboards, monthly reporting, and continuous tuning are all included. Pricing is based on the number of monitored systems and the runbook scope.

ADIM is built by Bigs Bilişim — a team with 26 years of enterprise systems experience, delivering SAP Basis, Windows/Linux, and monitoring operations services to enterprise customers including Daimler Truck AG. About Bigs Bilişim →

Frequently Asked Questions

Can the AI execute a wrong command?

No. The AI only performs classification and decision support; everything that executes is a pre-approved, allow-listed runbook. Free-form command generation is blocked at the architecture level.

Does it work with monitoring tools other than Zabbix?

The current version is deeply integrated with Zabbix. Integration with other monitoring tools that can emit webhooks is evaluated as part of the project scope.

How long does deployment take?

A typical pilot — discovery, deployment, and the initial runbook set — goes live within 2–4 weeks.

Does it work in air-gapped environments?

Yes. Proxy-restricted and isolated environments are supported; customer data never leaves the environment.