Agentic Reliability Framework is a production-grade, multi-layer AI reliability system designed for modern cloud and enterprise environments.
It continuously monitors critical business services, detects anomalies in real time, explains impact in business terms, and triggers policy-based self-healing actions.
At its core, the system uses 3 specialized AI agents working together:
- 🕵️ Detective Agent — anomaly detection and pattern recognition across latency, error rate, and throughput
- 🔍 Diagnostic Agent — root-cause analysis and incident investigation
- 🔮 Predictive Agent — forecasting future risks and emerging failure patterns
These agents operate over telemetry from key business areas (e.g. APIs, authentication, payments, databases, caches) and assign severity levels — low → critical — based on both technical and business impact.
For critical incidents, the framework can autonomously execute policy-based healing actions such as:
- Service restarts or rollbacks
- Circuit breaking and rate limiting
- Traffic redirection or scaling adjustments
All actions are logged with transparent reasoning and decision traces.
The goal of Incidence AI’s Agentic Reliability Framework is to give reliability and Site Reliability Engineering (SRE) teams an AI-augmented “control tower” that:
- ⏱️ Reduces time to detect, resolve and prevent incidents
- 🧩 Surfaces clear, human-readable explanations of what went wrong and why
- 💰 Quantifies potential revenue and user impact
- 🤖 Safely automates high-confidence recovery actions in real time
Built for enterprise-grade reliability, continuous learning, and autonomous recovery.