A platform-agnostic AI agent for end-to-end diagnostics to recovery, delivering real-time operational visibility and accelerating L1/L2 issue resolution at scale.
Wavenet’s AI-Powered Troubleshooter is a single-agent solution purpose-built for modern operations teams. It integrates seamlessly into your observability and automation stack, enabling real-time root cause analysis (RCA), guided or autonomous remediation, and continuous post-incident learning.
We shorten resolution time with context-aware AI.
Investigate and remediate across systems without leaving the pane.
We learn from yours, then automate the repetitive.
Talk to the system in natural language. Get shell-ready suggestions. Run commands, safely and instantly, in the same interface.
Our Retrieval-Augmented Generation (RAG) engine fuses live telemetry, log data, and unstructured sources like runbooks, Confluence, and previous incidents to explain the why behind every issue.
Auto-resolve repetitive issues using pre-built playbooks. Gate high-risk remediations with policy-based approvals and full audit logging.
Integrates with your preferred observability, ticketing, and automation tools, Datadog, Prometheus, ServiceNow, Ansible, Terraform, BSS/OSS APIs, and more. No rip-and-replace required.
Connect servers, import runbooks, and get resolution suggestions from day one, without lengthy model training or data engineering.
Post-incident reports are auto-written, metrics are tracked, and the AI learns with every resolution, reducing MTTR week after week.
Fix your first incident in minutes—not hours with our AI-powered troubleshooting agent.