Intelligent Operations
AI-driven intelligence for your operations
Built for Azure and hybrid environments, CloudIQ connects your observability, applications, infrastructure, DevOps, and SRE workflows to investigate incidents, surface operational gaps, and automate operational work.
We build the observability foundation, application context, and governance around AI — turning operational intelligence into a system your teams can rely on in production.
Natural-language root cause analysis across the full dependency chain — from applications and APIs to infrastructure and databases — delivered automatically to Teams or email.
Automated health checks before every release and AI-assisted pull request reviews to identify operational and code-quality issues before they reach production.
Monitor CI/CD pipelines, detect failures, retrieve logs and code changes, classify root causes, and notify the right team automatically.
Automated resource health checks, cost reports, and pipeline monitoring delivered to Teams or email on a defined schedule.
Identify misconfigurations, expired certificates, open ports, disabled alert rules, and other operational gaps before they become incidents.
Learn from resolved incidents, update operational knowledge and runbooks, and improve future investigations over time.
The difference is what we build around the AI.
We connect telemetry, application architecture, infrastructure, DevOps, and operational workflows so AI can investigate beyond isolated alerts and identify root causes across your environment.
We establish Role-Based Access Control (RBAC), permissions, review modes, human approval points, and staged rollout policies so AI can operate safely in production.
We stay through implementation, validation, rollout, and stabilization — making sure Intelligent Ops delivers useful operational outcomes, not just a configured AI tool.
Intelligent Ops is continuously tuned as your environment evolves. Incident learnings can update operational knowledge and runbooks, improving future investigations.
Our engineers configure investigation skills, integrations, and operational workflows around your actual architecture, failure patterns, and deployment processes — not a generic setup.