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The MSP's Guide to Choosing an AI Partner

21 questions to ask before you sign, so you end up with a partner built for MSPs, not a platform you have to bend yourself around.

MSP owner facing an AI strategy whiteboard: where to start, vendors, use cases, pricing, packaging, and compliance

Who this industry report is for

This buyer's guide is for MSP founders, CROs, and service leaders who are about to build a client-facing AI offering on someone else's platform. Every vendor pitch sounds similar right now. The differences that matter show up later, when a client asks for something the demo never covered, or when the invoice arrives and nobody can explain the token line item.

Inside the guide, you'll get questions across 7 categories:

  • Specialization & Fit. Is this built for MSPs, or retrofitted?
  • Integration & Migration. Does it work with PSA, ERP, on-prem, and the Copilot tab already open?
  • Build, Customize & Own. Who controls the work you create, and can you white-label it?
  • Pricing & Predictability. Can you quote a client and still model your margin?
  • Data, Security & Compliance. Where does the data go, and is it isolated?
  • Reliability & Oversight. What happens when the AI is wrong at 2am?
  • Partnership & Growth Path. Do you get enablement, and can you leave cleanly if you need to?

What you'll walk away with

A single scorecard to run 2-3 vendors through the same questions, including us. You do not need a perfect score. You need clarity on where the gaps are before you build a client-facing offering on top of someone else's platform, so the surprises happen on a call, not six months into a client engagement.

Want help applying this scorecard?

Book a free 30-minute call. We'll walk the 21 questions against your first AI offering, including the ones we would rather you ask us.

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