RMM connector
Addigy + AI Autopilot
Addigy is an Apple device management platform built for MSPs.
254 tools · by domain
Addigy- Automation, Patch & Remote93
- Platform Admin & Integrations58
- Security & Threat37
- Assets & CMDB26
- Monitoring & Alerts16
Modeled connector coverage, not completed executions.
StackJack connector catalogue
The operating model lists StackJack connector coverage. Tenant access is scoped and authorised per MSP; a catalogue entry does not establish a working launch workflow.
Modeled connector coverage
254 catalogued tools for Addigy
Endpoints and the automation that runs on them: devices, alerts, audits, patching, scripts and jobs. 118 read · 136 write.
- Automation, Patch & Remote93 tools
- Platform Admin & Integrations58 tools
- Security & Threat37 tools
- Assets & CMDB26 tools
- Monitoring & Alerts16 tools
- Clients & Contacts15 tools
- Analytics & Intelligence9 tools
Counts from The Agentic MSP Operating Model, version 4.361.0, transcribed from the connector's published catalogue on 2026-09-17. These describe the connector surface, not verified tenant permissions or completed workflows.
Operating-model roles
4 of the five service-desk agent roles map to this category
This is the model's category-level mapping. It does not establish that these agents have executed against your tenant.
- Stage 2AI Intake & Triage AgentThe model defines an intake stage that matches requests to ticket types and proposes priority against the client's SLA. The current launch is supervised and scoped with your team.
- Stage 3AI Dispatch & Scheduling AgentThe model defines assignment recommendations using skill, tier fit, pod load and calendar availability, with supporting rationale and access checks. Pilot capabilities are agreed separately.
- Stage 4AI Autonomous Remediation AgentThe model defines a resolution plan, verification steps and closure notes for each ticket type. In the launch, Claudia runs the fix only after your technician approves it.
- Stage 5AI Service Desk WatchdogThe model defines a watchdog stage for SLA monitoring, client follow-up and breach-risk alerts. These responsibilities describe the broader model; pilot capabilities are agreed separately.
Jamf Pro
ImmyBot
ConnectWise Automate
Action1
NinjaOne
N-central
Atera
Datto RMM
The whitepaper · 10 pages · PDF
Resolution readiness: a denominator for "our AI resolves X% of tickets"
Every vendor claims a resolution rate. This is what a denominator for one looks like.
Questions
Planning a Addigy connection
Does this listing confirm a working integration?
No. It describes Addigy's connector surface in the operating model. Tenant access, the selected task, result retrieval and any PSA linkage must be reviewed and demonstrated separately.
What access does AI Autopilot need to Addigy?
That depends on the task and tenant. Before a pilot, review the available StackJack connection, execution identity, permissions, authorised targets and how access will be withdrawn. This page does not prescribe a permission set or confirm your current configuration. The initial launch is supervised.
Does onboarding guarantee this connector or workflow is ready?
No. The published onboarding session describes the service offered, not proof that a particular tenant connection or workflow has passed validation. Agree the stack, prerequisites and intended task with the team before treating it as ready.
Request an integration
Running something else as well?
Tell us the rest of your stack and the task you want to explore so we can review scope and access with you.
Discuss your Addigy workflow
Claudia is invite-only for a limited supervised launch.