Overview
ilert AI brings intelligence and automation to your incident response process, from identifying related alerts and generating post-mortems to AI SRE agents that perform RCA autonomously
The ilert AI ecosystem combines assistive AI features that enhance user workflows with autonomous agents that can reason, investigate, and act on incidents using connected data sources through MCP servers.
ilert AI is built around two complementary layers:
AI Features: Assistive capabilities embedded directly into existing ilert workflows (e.g. alert grouping, post-mortem generation, incident message generation).
Agents: Autonomous, reasoning-driven agents that analyze signals, identify causes, and trigger actions to resolve or communicate incidents.
Together, they enable AI-first incident management, from detection to resolution, while keeping engineers fully in control.
Model endpoints & data residency
ilert AI operates on region-specific model endpoints. Which models serve your organization depends on your region:
EU customers
Models hosted in the EU
Anthropic models via AWS Bedrock (EU region), xAI models via xAI (EU) for the Voice Agent
Non-EU customers (including US)
Models hosted in the US
OpenAI models via the OpenAI platform, Anthropic models via the Anthropic platform
You can view the active region used by your organization under Account settings.
AI features that rely on external LLMs can be globally disabled in your account settings.
When disabled, AI Features and Agents that depend on LLM reasoning will no longer process or transmit data externally.
Control & auditability
ilert AI is designed for auditable and controlled automation:
All AI and Agent actions are logged and traceable.
You have full control to enable or disable AI features globally.
MCP connections use HTTPS with strict authorization (API keys or OAuth).
For data processing, sub-processors, certifications and other compliance documentation, see the ilert Trust Center.
Learn more
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