The AI engineering team behind your MSP. Two ways in.
We're the AI engineering team behind MSPs. Sell Edgerton and Edgekeeper to your client base under your brand — or put Edgekeeper into your own operation first, so your shop runs on it before your clients do.
Who it's for: MSP owners whose clients are asking about AI and who don't want to build an AI engineering team in-house.
Two paths. Start on either.
Deliver AI to your clients, or get AI into your MSP. Most partners end up doing both — the order is yours.
Path 1 — Deliver AI to your clients
Sell Edgerton and Edgekeeper under your brand. Every client engagement starts with Edgerton: a white-label Assessment Portal under your name, the agent deployed through your own RMM, consent documents pre-built per level. Your client sees you; we run the measurement, write the report, and build and run the Edgekeeper brain it recommends.
Path 2 — Get AI into your MSP
Edgekeeper in your own MSP: the same brain we run our own operation on, set up for yours — a brain server, a workspace app and a database dedicated to your MSP. Fully isolated from every other client — and your data yours to take. We set it up, harden it, and run it; your team drives it.
We speak MSP because we are one family: our sister company AutomatedMSP runs managed outbound and growth operations for MSPs — same founder, same operational discipline, pointed at your pipeline instead of your clients' AI.
This is what we do for MSPs.
We connect every system you run — PSA, RMM, M365, accounting — put the Edgekeeper brain on top, and generate the whole picture: your desk, your margins, your licenses, your security posture. Then we automate the fixes it finds. The demo below is a fictional MSP with illustrative numbers; the structure is exactly what yours looks like.
- → Billing reconciliation: seats billed vs. seats actually seen
- → SLA truth: what your contracts say vs. what your desk does
- → Tech ranking: who closes, who reopens, where the coaching is
- → Fleet: patch, EDR, backup — cross-referenced against billing
- → Security rollup: MFA, restore tests, and posture per client — insurer-ready
- → QBR packs that write themselves — see one
- → And past the report: Ask the system anything, watch agent sessions do the fixes, schedules that keep it all true
New to the space? Read AI for MSPs: what actually works — or see the Edgekeeper we white-label.
The offer.
You sell. We build and operate.
You own the client relationship. We do the AI engineering and run it — the part your team doesn't have time to build.
Your brand. Your relationship. Your margin.
White-label by default. Your contract, your invoice, your portal. We sit behind the curtain unless you want us in the room.
MSSP-grade ops, same as you run for IT.
SLA, named lead, a log of every AI access, an off switch, a written report every month. The bar you already hold IT vendors to — applied to AI.
White-label vs. co-deliver, in under a minute.
The proof is in production.
We built and run Edgekeeper for an MSP partner as one platform that serves the partner's own business and every business they serve. They white-label it; their clients see the partner's branding; we run the engineering and the 24/7 operations underneath.
One brain per client. Full server access for the partner from day one. Not a portfolio screenshot — a production system serving an MSP and their client book.
Two delivery models. Your call.
White-label
Your brand only. We sit behind the curtain.
- Your brand on every customer-facing surface
- Your contract, your invoice
- You quarterback all client meetings
- We deliver on agreed scope, your name on top
- Reseller margin model
Co-deliver
Partner co-delivery modelBoth brands visible. We sit in the room with you.
- Both brands visible to client
- Joint contract (or yours with us named)
- We sit in the kickoff and quarterly review meetings
- We're a named partner in your proposal
- Shared-MRR or reseller margin (your choice)
The RMM play — run again.
Your clients are going to ask about AI. The answer worth selling isn't the agent — it's the memory that makes one useful in their business.
Economics.
- →Reseller margin or shared MRR — your choice. Reseller: we bill you, you bill the client. Shared MRR: joint invoice, agreed split.
- →We don't compete with you. Your clients are yours. Our contract is explicit: no direct solicitation, no end-runs.
- →Volume discounts as your book grows. Specific terms negotiated in the partner conversation — we're not putting that on a public page.
How we co-deliver.
Operationally, you keep visibility into everything. The handoff is engineered, not loose.
- ⊢Full access to your server and dashboard from day one — you can see everything
- ⊢One brain per client — each of your clients isolated from the others, and from us
- ⊢Every deployment watched 24/7, tuned weekly, reviewed in writing monthly
- ⊢Ticketing integration to your existing PSA
- ⊢Documented escalation thresholds to your on-call rotation
Questions partners ask.
We're not big enough.
Our first MSP partner was where we started. Edgekeeper runs for 1 client or 100. Reseller margin scales with you.
Will you compete with us?
No. Clients are yours. Our contract spells it out — we will not directly solicit or sell to your client base.
What if you go out of business?
You and your clients leave with all of your data — records, the brain's memory, the log — in a documented handover, and we help you move it. Export rights are in the contract from day one. Edgekeeper is our software on servers we provide; the knowledge it built is yours.
Our techs don't know AI.
They don't need to. We train your tier-1 on what's normal vs. what to escalate. Same SOP discipline you already run for IT.
What's the commitment?
Partner terms are set in the partner agreement. What never changes: your clients are yours, their data is theirs to take, and nobody's data is hostage — export rights are written in, for you and for your end clients.
How do we price it to our clients?
We help — pricing playbook is part of partner onboarding. You set the final price; we share what's worked with our MSP partners.
What does 'Edgekeeper in our MSP' actually include?
A brain server, a workspace app your team logs into, and a database — all dedicated to your MSP, all isolated from every other client. Your data and the memories are yours; the software and the server are ours to run. If we part ways, you leave with your data in full.
How does the client assessment work under our brand?
You get a branded Assessment Portal and installer packages for your RMM. Edgerton runs at three levels of visibility — Activity, Workflow, Full Picture — with the consent documents pre-built per level. We operate the agent and write the report; your name is on it.
Who offers white label AI services for MSPs?
Mostly agency-services shops that added AI to a web-and-SEO catalog. We come from the other side — MSP/MSSP operations — so the white-label offer is the whole thing: Edgerton's measured assessment, then Edgekeeper built and run under SLA behind your brand. The full picture is on the Edgekeeper page.
How do we resell AI services without an AI team?
The same way you resell any co-managed service: you own the client, the contract, and the price; we deliver behind your brand. Your techs learn what is normal vs. what to escalate — nobody on your side needs to write a line of AI code.
What Edgekeeper includes lives on the Edgekeeper page.
Let's talk about your book.
A 30-minute partner conversation. We'll walk through our live partner deployment, scope your client base, and propose a delivery model.