Guides

# Guides for MSPs selling AI

Short, plain answers to what MSP owners ask about AI managed services, AI MRR, MCP and the tools to deliver them.

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

## Guides

Start with what AI managed services are, then how they turn into monthly revenue.

- [What are AI managed services?](https://www.resultsiq.ai/guides/what-are-ai-managed-services/)
What’s usually included, how it differs from reselling AI licenses, and how MSPs price it.

- [What is AI MRR?](https://www.resultsiq.ai/guides/what-is-ai-mrr/)
The monthly recurring revenue an MSP earns from AI managed services, where it comes from and how to grow it.

- [MCP for MSPs: what it is and how to use it](https://www.resultsiq.ai/guides/mcp-for-msps/)
How the Model Context Protocol lets Claude or ChatGPT work with your PSA, RMM and documentation, and the risks to manage.

- [AI tools for MSPs: what to use for each job](https://www.resultsiq.ai/ai-tools-for-msps/)
The AI tools MSPs use in 2026, sorted by job: service desk, automation, security, AI for your team, and selling AI to clients.

## Comparisons

How Control Center compares with other AI platforms built for MSPs, described from their own public materials.

- [ResultsIQ Control Center vs Hatz AI](https://www.resultsiq.ai/compare/hatz-ai/)
A governed AI workspace for client teams, next to a service line you scope, deliver and bill.

- [ResultsIQ Control Center vs Lemhi](https://www.resultsiq.ai/compare/lemhi/)
A consulting playbook for AI readiness and rollout, next to automations delivered and billed every month.

- [All comparisons](https://www.resultsiq.ai/compare/)
Every comparison in one place.