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.
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.
Our hybrid Chat + Shell workspace resolves, fast, no context switching, no tool hopping, no war-room chaos.
Whether you're running a SaaS platform, managing telco-grade infrastructure, or supporting hybrid cloud applications, Troubleshooter is optimized for:
Fix your first incident in minutes, not hours with our AI-powered troubleshooting agent.
Empowering telecommunications and digital enterprises through AI-first digital transformation.
APAC: Singapore, Malaysia, Sri Lanka | EMEA: Romania, Africa | AMER: Colombia