AI Ops Manager
An AI Ops Manager is an autonomous AI employee that monitors business systems, triages incidents, runs recurring playbooks, and coordinates fixes across tools.
Where engineers have SREs for infra, operators need someone watching the business stack: payment failures, integration breaks, low-stock alerts, churning customers. The AI Ops Manager is the always-on layer that catches signals, runs the playbook, escalates to humans only when the playbook ends. This is the highest-leverage AI hire for most operator-led companies because it eats the work nobody on a small team has time to own.
Example
Stripe charge fails → AI Ops Manager retries with a backup card, emails the customer, updates the CRM, posts a thread in Slack with the resolution. No human touched it.
How OpenLabor uses it
OpenLabor's AI Ops Manager ships with starter playbooks for payment failures, integration outages, and low-stock alerts. You add company-specific playbooks in plain English.
Is this the same as Zapier?
No. Zapier runs deterministic flows. An AI Ops Manager decides what playbook applies, picks variations, and escalates novel cases.
Related: ai-employee, mission, approval-gate, tool-use.
AI Labor Glossary