guavaCopilot, Claude or ChatGPT: which should an MSP’s team use?
Usually Microsoft 365 Copilot first, because your team and most of your clients already work in Outlook, Teams and SharePoint. Claude Enterprise or ChatGPT Enterprise fit teams doing heavy writing, analysis or scripting, and some teams need two. Guava resells none of them and takes no referral fees, so its $4,000 AI Assessment recommends one per team.
Which fits whom
- Microsoft 365 Copilot Fits teams whose work lives in Outlook, Teams, Word, Excel and SharePoint. It works over the data already in your tenant, which is why it needs readiness first: it can surface anything a user can reach. The readiness checklist
- Claude Enterprise Fits teams doing writing, analysis and work across other tools, such as drafting runbooks, reviewing contracts or working through a large ticket export. Connectors bring in the tools your team already uses.
- ChatGPT Enterprise Also fits writing, analysis and work across other tools, and suits teams where people already use ChatGPT on their own: a company workspace brings that use under your admin controls and policy.
- Gemini for Google Workspace For teams and clients on Google Workspace instead of Microsoft 365. Same process, with the same readiness work first.
Four questions to settle first
- Where does the work happen? If it’s email, meetings and documents in Microsoft 365, start with Copilot. If it’s long writing, analysis or code, try Claude and ChatGPT side by side on the same tasks.
- What will it reach? Every platform reads what you connect to it. Decide which data and tools each team’s AI can reach before the rollout, not after.
- Who governs it? Each platform brings its own connectors, agents and admin rights to review. Two platforms means two sets. AI governance for MSPs
- What does good look like? Pick 3–5 use cases and measure a baseline first, so you compare platforms on hours back, not on demos.
What about the model behind it?
The platform and the model behind it are different questions, and the models change often. I test them on MSP Bench, my private benchmark of how well an AI looks after a managed IT provider: 100 hidden problems and $1,000,000 at risk. As of , Claude Opus 5.5 leads it, protecting $883,722 on average across its runs. Which AI model is best for an MSP?
How Guava does it
- AI Assessment $4,000, 2 weeks. Which platform fits each team (Copilot, Claude Enterprise, ChatGPT Enterprise or Gemini), with every workflow ranked Build, Pilot or Don’t build. Credited in full toward a Rollout or Implementation.
- AI Rollout $25,000, 3–6 weeks, on whichever platform fits, with your data made ready first.
- Implementation & Offer Launch $35,000, 3 months. Your team learns to deliver AI services across Copilot, Claude and ChatGPT, with custom builds on Azure AI Foundry, Amazon Bedrock or Google Vertex AI where needed.
Fixed fees, agreed in writing before work starts, and you own everything built. See the engagements
Questions MSP owners ask
Does Guava get paid by Microsoft, Anthropic or OpenAI?
No. I don’t resell AI licenses, hold vendor partnerships or take referral fees, so the recommendation is only about what fits your team.
Can we use more than one platform?
Yes, and some teams should. The cost is a second set of connectors, agents and admin rights to govern, which Ongoing Optimization & Governance reviews on each platform.
Which platform should our clients use?
Most MSPs’ clients already run on Microsoft 365, so Copilot readiness is usually the first AI service an MSP sells. Your team learns to recommend one per client the way I recommend one per team.
We’re on Google Workspace. Does this still apply?
Yes. Gemini for Google Workspace follows the same process: readiness first, then 3–5 use cases with baselines, then training.
More questions MSP owners ask
Talk it through.
Twenty minutes on which platform fits each of your teams. Prefer email? romeo@workwithguava.com