Agentic incident management is the practice of using AI agents — LLM-powered or rule-based — to operate your incident management platform through APIs rather than a click UI. Instead of an admin-only automation key, each engineer gets scoped credentials (typically a personal access token) so agents can triage alerts, search incidents, check on-call schedules, and configure integrations on that person's behalf — under least privilege. AI incident management is the broader category; agentic management specifically emphasizes autonomous or semi-autonomous agents executing multi-step workflows.
How Agentic Management Differs from Chatbot AI
Many vendors add an LLM chatbot that analyzes incidents on their servers. Agentic incident management takes the opposite approach: you bring your own LLM, and the platform provides scoped API keys, a complete REST API, and audit logging. The agent runs where you control it; the platform enforces what it may do. This keeps incident data in your chosen region and makes every agent action traceable.
Why Scoped Permissions Matter
- Least privilege: Keys declare per-resource permissions (get, list, create, update, delete) — not blanket admin access.
- Human intersection: Personal access tokens are further limited by the linked user's live team and organization roles.
- Containment: A rogue agent hits 403 at the scope boundary. Creates, updates, and deletes of auditable resources land in the audit log.
- Democratization: Every engineer — not just platform admins — can run agents against the tools they already use.
The Evolution: UI → API → Terraform → Agents
SaaS platforms for developers follow a predictable path: manual UI, then REST API, then infrastructure-as-code (Terraform), then agents that act on behalf of individual humans. Terraform handles machine-to-machine provisioning; agents need credentials that mirror a specific person's permissions. Granular API keys are the foundational work for every agentic capability on the platform.
The All Quiet Approach
All Quiet exposes every feature through the public API — incidents, teams, escalations, on-call, integrations, status pages, routing, and audit logs — with scoped organization keys and personal access tokens. Terraform provisions the configuration; agents operate it day to day. We do not run LLMs over your data; you choose the model and runtime.