Network & Infrastructure AI
AI agents for the teams that keep systems running
Specialised agents that investigate incidents, correlate signals and recommend fixes. Your engineers approve what runs.
KubernetesService meshAPI gateways
Network & Infrastructure AI
Problem and solution
The problem
Incidents are slowed down by gathering context across dashboards, logs and runbooks, and by waiting for the few people who know each system.
The solution
Infrastructure agents investigate alerts, correlate logs, metrics and traces, identify the likely root cause and recommend remediation for an engineer to approve.
How it works
From alert to approved fix
- 1Alert
- 2Investigate
- 3Correlate logs + metrics + traces
- 4Identify root cause
- 5Recommend
- Human approval
- Remediate
Capabilities
What it can do
- Troubleshooting
- Incident analysis
- Root-cause identification
- Network configuration
- Kubernetes operations
- Service mesh operations
- API gateway operations
- Infrastructure monitoring
- Configuration recommendations
- Operational knowledge
- Reliability engineering
- Guided remediation
Use cases
Where it does real work
- On-call incident assistant
- Root-cause analysis
- Configuration review
- Cluster health checks
- Runbook guidance
Business outcomes
What changes for the business
- Reduced downtime
- Faster incident resolution
- Lower MTTD / MTTR
- Improved reliability
- Less dependency on scarce expertise
Enterprise integration
Works with the systems you already run
- Kubernetes
- Service mesh
- API gateways
- Monitoring & observability tools
- Logs, metrics & traces
- ITSM / incident tools
Security & governance
Built for enterprise control
- Permission-aware
- Guardrails
- Human approval
- Audit trail
Which process would you hand to Network & Infrastructure AI?
Bring one real workflow. We'll show you where AI agents can take it on.