The Agentic AI Platform for Production Engineering
AI agents that automate alert investigations, orchestrate incident response, and compound institutional knowledge, purpose-built for SRE and Support Engineering teams.
THE AUTOHEAL DIFFERENCE
From Reactive Firefighting to AI-augmented Incident Response
Human-only Process
Hours to Resolve
4+ hours MTTR. Manual triage across dashboards.
Context Starts at Zero
Every responder rebuilds system state from scratch.
Knowledge Evaporates
Lessons vanish into Slack. Postmortems gather dust.
Scale = More Headcount
More alerts means hiring more engineers.
With Autoheal AI Agents
Minutes to Resolve
Root causes hypothesized before a human is paged.
Full Production Context, Instantly
Complete system state delivered to every responder.
Decision Traces Compound
Every incident makes the AI smarter.
Scale Without Headcount
10x alert volume, 10x productive engineers.
WHY AUTOHEAL
Three Pillars That Set Autoheal Apart
What generic AI tools can't deliver.
CONTEXT
Production Context Graph
Learns the why, how, and what of your production, automatically.
Decision Traces: learns tribal "why" knowledge from Slack & Teams channels
Investigation Skills: auto-generates "how" to investigate your unique production
App Catalog: auto-discovers "what" software, people & dependencies exist
TRUST
Security & Governance
Your data never leaves your VPC. Every action is auditable.
Data Sovereignty: BYOC & airgapped option where data stays in the customer's VPC
Immutable Audit: every agent & human action logged for SOC 2 / ISO 27001
Command Control: fine-grained authN & authZ & rate limiting over AI actions
VALUE
Unified Incident Management
Consolidates AI SRE, on-call management, Slack/Teams incident response.
End Fragmentation: replaces separate on-call, coordinator & siloed AI tools
Prevent Repeat Incidents: follows the full alert lifecycle through to postmortem
Multiplayer AI: Agents purpose-built for SRE & Support Eng collaboration with App Developers
Purpose-built to Serve Most Demanding Enterprises
Criteria
Legacy Incident Mgmt
First-Gen AI SRE
Agentic Investigations
❌ Human guesswork
⚠️ Single-shot proposals
✅ Multi-hypothesis, evidence-driven
Institutional Knowledge
❌ Lost in Slack threads
❌ Starts fresh every time
✅ Decision Traces compound over time
Deployment Model
⚠️ SaaS-only
⚠️ SaaS-only
✅ BYOC/Airgapped as well as SaaS
Agent Governance
❌ No AI agents
❌ Limited controls
✅ Fine-grained authz, rate limits, audit
Incident Lifecycle
⚠️ Alert routing only
⚠️ Investigation only
✅ Alert → Mitigating Fix → Preventive Fix
Multiplayer Collaboration
❌ Human-only workflows
❌ Single-player AI bots
✅ AI + humans on Slack/Teams/Zoom
