Deploy AI systems that monitor your infrastructure, execute known runbooks, maintain CMDB accuracy, and escalate to engineers with full context, reducing resolution time and out-of-hours coverage costs without adding headcount.
NetOps Suite, enterprise CMDB platform
Autonomous NOC operations, CMDB self-healing agents, runbook execution, incident management integration, 5+ years and 30+ modules in production CMDB.
Tier-1 incident response follows repeatable patterns: read the alert, check the CMDB, run the runbook, escalate if stuck. An autonomous NOC agent handles all of this, pulling related configuration items, selecting and executing safe runbooks, documenting every decision taken, and escalating with full context when it genuinely needs a human. Around the clock, without adding headcount.
CMDB data that drifts from live infrastructure reality does not just fail audits. It slows every incident that depends on it for context. We build reconciliation agents that continuously compare discovery data against CMDB records, investigate discrepancies, update high-confidence records autonomously, and raise change requests for the cases that require human review.
Incident response that starts in one tool and ends in another loses context at every handoff. We integrate autonomous NOC agents with your ticketing system, communication platform, and escalation workflows, so the agent's actions, decisions, and reasoning are visible in the tools your engineering team already uses.
Runbooks that exist as documents require a human to read, interpret, and execute them. We build AI-executable runbook libraries that the NOC agent selects and runs autonomously for known incident classes, with the safe versus risky classification built into the runbook definition, not left to the agent's judgment at runtime.
CMDB platforms that do not capture the configuration items your operations depend on are not useful for incident response, capacity planning, or change management. We build the modules, integrations, and data ingestion pipelines that close the coverage gaps in your existing CMDB.
Alert fatigue in high-volume NOC environments comes from alerts that lack the context, correlation, and prioritisation needed to act quickly. We build alert processing pipelines that enrich each event with CMDB context, correlate related alerts into incidents, and surface the information the NOC agent or engineer needs immediately.
NetOps Suite is an enterprise CMDB platform we have operated for five years, with 30+ modules, StableNet integration, and full RBAC and audit infrastructure. The domain knowledge to build autonomous operations on top of a CMDB comes from having built and maintained the CMDB itself.
The APIs, services, and data structures an autonomous NOC agent needs to act in the CMDB are systems we built. Building the AI layer on top of our own platform is faster, more reliable, and carries fewer integration surprises than approaching a system we are meeting for the first time.
We understand what a tier-1 NOC workflow looks like from the inside: which alert types have known resolutions, where escalation is appropriate, what context the escalation needs to carry. This shapes the agent design before a line of code is written.
Enterprise NOC environments require documented, auditable records of every automated action taken. Our LangGraph-based NOC agents journal every decision as a structural property of the workflow, not a logging configuration added as an afterthought.
Speak with a team that has operated an enterprise CMDB platform for five years. We bring the infrastructure context and the domain knowledge that autonomous NOC design requires from day one.
