For MSPs and IT providers
White label AI services: what MSPs can resell
White label AI lets your MSP sell AI work to clients under your own brand while a specialist team delivers it. With us, that means two things you can resell: Edgerton assessments, and managed EdgeKeeper builds we run behind you.
Built forMSPs and IT providers whose clients keep asking about AI, and who want an answer they can sell without hiring an AI team.
01 / The outcome
What you get.
- An AI service line under your brand, without hiring AI staff
- A paid first step with each client: an assessment that measures where the time goes
- Recurring work after the assessment, not a one-off license sale
- Your clients stay yours, and their data stays theirs, with export rights in the contract
The scope
What's included.
- A branded Assessment Portal and installer packages for your RMM
- Edgerton assessments at three levels of visibility, with consent documents pre-built for each level
- A report and proposal with your name on it, which your client keeps
- Optional EdgeKeeper builds: one dedicated server per client, run by us
- Switchboard for the client team, with as many read-only AI agents as they want
- A pricing playbook during partner onboarding, and training for your tier-1 team
02 / Delivery
How we do it.
- 01
You sell it
Under your brand or alongside us, at a price you set. You stay the face of the relationship and run the client meetings.
- 02
We measure and build
Edgerton runs on the computers your client chooses, with their team's knowledge and consent. If the client goes ahead, we build the agreed work on a dedicated EdgeKeeper server.
- 03
We run it behind you
Every deployment is watched 24/7, tuned weekly and reviewed in writing monthly. Escalation thresholds to your on-call rotation are documented.
The offer
What you can resell: Edgerton assessments and managed EdgeKeeper builds under the partner program
Edgerton assessments. Edgerton is a paid assessment. It runs for ten business days on the computers your client chooses, with their team's knowledge and consent. You deploy it through your RMM from a branded portal. We operate the agent and write the report, and your name is on it. If we find no clear ROI path, the assessment fee is refunded.
Managed EdgeKeeper builds. If the client goes ahead, we set up EdgeKeeper on a dedicated server for that client and build the work in the proposal. Their team works in Switchboard. We stay to run it, so you are not left supporting an AI system you did not build.
Commercial terms, the two delivery models and the client protections are all on the partner page.
Read the MSP partner program ↗Due diligence
White label AI software features to look for
The best white label AI software is the one you can put your name on without worrying. Check these before you sign with anyone, including us:
- Client isolation. Each client should get its own data store. Ours: a dedicated database per assessment customer, and one EdgeKeeper server per client.
- Scoped access for your team. Your techs should see only the clients and records they are authorised to support.
- Read-only by default. Anything that changes a record should wait for a person to approve it, and access should be logged.
- Your brand on every surface. Portal, report, proposal and invoice.
- Export rights. Your client's data should be theirs to take, written into the contract, with a documented handover.
- Someone runs it. Ask who watches the system after launch and how problems reach your on-call rotation.
Revenue
How MSPs package AI for clients and earn on it (not just license resale)
Plenty of MSPs ask how anyone earns on AI by reselling licenses as a cloud partner. A license on its own leaves the real work on your team, often unpaid: setting it up, deciding who can see what, and fixing it.
Clients will pay for the work around the tool. A paid assessment answers "what should we do about AI?" with numbers. A scoped build turns that into something useful, such as a team that stops retyping the same details into two systems. Ongoing support keeps it working.
Under our program you choose between a reseller margin, where we bill you and you bill the client, and a shared MRR model with a joint invoice. You set the final price, and a pricing playbook is part of onboarding.
Readiness
Copilot readiness and guest access: check before you enable AI for a client
Many clients will meet AI first through Microsoft Copilot. As of October 2026, Microsoft's own documentation says Copilot only surfaces organisational data that each user already has at least view permission to see, and that this includes permissions given to people outside the organisation.
So Copilot is only as safe as the client's sharing settings. Before you switch it on, check guest accounts in the tenant, files shared with "anyone with the link", old project sites nobody cleaned up, and shared channels with outside companies. An over-shared file becomes easy to find once anyone can ask for it in plain English.
Working together
How the partnership works day to day
You run the client relationship and the meetings. We run the assessment, write the report and, if the client builds, run EdgeKeeper behind you. Your team gets dashboard access to what its role permits from day one.
Your techs do not need to know AI. We train your tier-1 on what is normal and what to escalate, using the same SOP discipline you already run for IT.
See a sample client assessment ↗
This is already in production.
We built and run EdgeKeeper for an MSP partner, serving the partner's own business and the businesses they serve. They white-label it, and their clients see their branding. We run the engineering and operations underneath.
Before you decide
Questions we get.
What is white label AI?
White label AI is AI work delivered by one company and sold by another under its own brand. The seller owns the client and the price. The delivery team does the work behind them.
What does white label AI mean for an MSP?
It means you can add AI to your service catalogue without building an AI practice. Your brand is on the portal, the report and the invoice. We run the assessment, the build and the upkeep behind you.
How do you white label AI?
Pick a delivery partner whose portal, reports and contracts can carry your brand. Agree who owns the client, who sets the price and how escalations reach your team. Start with one client and one assessment before you package it for your whole book.
How do you provide gen AI to clients?
Start with a measured assessment, not a license. Find out where the client's time goes, then build AI into the systems they already use, with access scoped and changes approved by a person. Someone has to run it afterwards, and under a white label model that can be us, behind your brand.
Can we earn on AI beyond reselling licenses?
Yes. A license sale leaves the setup work to you. Assessments, builds and ongoing support are services you can price. Under our partner program you choose a reseller margin or a shared MRR model and set the final client price.
Related guides.
Your next step
Start with an Assessment.
We install Edgerton on the computers you choose, with your team's knowledge and consent. After ten business days, you get a report and a proposal to help you decide what to do next.