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# What are AI managed services?

AI managed services are AI work that a managed service provider delivers to its clients on an ongoing basis and bills every month, the same way it bills for managed IT or managed security.

By [Connor Reece](https://www.resultsiq.ai/about/), updated November 2026

## What’s usually included

- AI policy and governance: an acceptable-use policy, which tools are approved, and who can use what.

- Approved AI tools and data protection: rolling out Copilot, ChatGPT or Claude with the right settings, and keeping client data out of tools that aren’t approved.

- AI opportunity assessment: finding where AI saves the client time or money, in the client’s own numbers.

- Automations: building and running the workflows that do the work, across the tools the client already uses.

- Reporting: showing what AI did each month, usually in the QBR.

## How it differs from reselling AI licenses

Reselling a license is a one-time margin on someone else’s product. A managed service is the work around it: scoping, setup, governance, automations and reporting. That’s where the recurring revenue is. It’s also why MSPs, who already hold the client relationship and the admin access, are well placed to sell it.

## How MSPs price it

Three models are common: a flat monthly fee per client tier, a fee per automation or workflow in production, or a share of the measured return. Most MSPs start with a small fixed scope (policy, approved tools, one or two automations) and grow it at each QBR.

## What you need to deliver it

You need a way to assess each client, a catalog of services with prices, the ability to build and run automations across your PSA, RMM and Microsoft 365, and a monthly invoice line. ResultsIQ Control Center is a platform built for MSPs to scope, price, build and bill AI managed services across the clients they already have.

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