CallOps

CallOps is an autonomous, real-time voice and incident orchestration platform designed to eliminate the critical "3 AM incident triage bottleneck" for engineering teams and solo developers. When a production outage, database crash, or service failure occurs, traditional alerting tools rely on robotic pre-recorded robocalls or quiet chat notifications that are easily missed during off-hours. When engineers do wake up, they spend 15–30 minutes deciphering complex error logs, searching through scattered wikis, and risking destructive guesswork under extreme stress. CallOps bridges the gap between automated monitoring and immediate, intelligent human action. Upon ingesting diagnostic alert webhooks, CallOps triggers a multi-stage workflow: 1. Intelligent Triage & Investigation: An AI SRE investigator isolates root causes from noise, deduplicates cascading errors, and executes a hybrid RAG search (BM25 + vector search with cross-encoder reranking) over verified internal Markdown runbooks. 2. Real-Time Interactive Telephony: Instead of sending a static message, CallOps places an outbound phone call via LiveKit SIP/Twilio to the on-call engineer. Powered by bidirectional, low-latency audio streaming, it briefs the engineer on the live outage using natural speech. 3. Grounded & Safe Remediation: The engineer can converse naturally with CallOps, asking for context, blast radius details, or step-by-step guidance. CallOps operates under a strict zero-hallucination constraint—relying solely on verified runbook steps—and enforces deterministic policy gating (Human-in-the-Loop) before any mutating or destructive remediation command is approved and executed. 4. Comprehensive Observability: Every distributed step, latency metric (TTFT), and tool call is fully tracked via OpenTelemetry, ensuring complete auditability and continuous safety evaluation. CallOps transforms midnight production emergencies from multi-hour panics into brief, guided, and safely resolved phone conversations.