The Agentic MSP Operating Model
A structured, AI-ready model of how a modern MSP actually runs — so the humans can audit and improve it, and the AI agents can reason and act over it.
The problem it solves
Most of how an MSP runs lives in people's heads, scattered PSA configs, and tribal habit. That's fine for humans who've been there years — and useless to an AI agent, which has nothing reliable to ground on. “AI-ready” starts with a structured model of the operation itself.
This is that model: a canonical, brand-stripped, opinionated blueprint of a modern MSP, validated against ConnectWise, Autotask, and HaloPSA — covering 518 service items with full ticket-routing metadata (priority, SLA, technician role, skills, escalation), across 48 interactive views and 8 AI-grounded enrichment layers per record.
Four pillars, one graph
The model spans the whole operation, not just the ticket queue:
Services
What you deliver — 518 ticket types with routing, SLAs, skills, and runbooks.
Tooling
The stack you run — tool categories, products, and the vendors behind them.
People
Who runs it — roles, skills with tier rubrics, teams, and the org chart.
Client data
What you manage — CMDB config types, flexible assets, clients, sites, and contacts.
Two audiences, on purpose
For MSP operators — understand best-practice taxonomy, audit your own board configuration against a reference, find capability gaps, and enrich your setup with metadata you don't have to author from scratch.
For AI agents — a stable, structured reference that complements (never replaces) your own PSA. Your PSA stays authoritative for your tickets; this supplies the cross-MSP knowledge — skills mapping, SLA defaults, resolution profiles, routing patterns — that grounds triage, dispatch, and resolution.
Tailor it to your shop
The reference is paradigm-neutral and segmentable: flip between ConnectWise, Autotask, and HaloPSA; scope everything to your size band, service offerings, tool stack, and team. A “Full Reference ⟷ My MSP” toggle dims what doesn't apply to you, so you see your operation, not a generic catalog.
A stable backbone
Record IDs are stable forever — future onboarding maps your PSA items to canonical reference IDs, so the model can grow without breaking what's mapped to it. It ships inside AI Autopilot (Ticket Triage · Dispatch · Resolutions · Documentation · Self-Service · Insights).
Ground your MSP — and your agents — in one model.
No install, free to explore. Pick an assessment and get a tailored read on your gaps and your maturity.
Open the reference →