For MSP Owners

I ran two MSPs in Vermont for 20 years. I built Vermont AI Systems so you can sell private AI without becoming an AI company.

Your clients are already asking about AI. They're making procurement decisions without you. Here's a white-label delivery model that lets you stay in the relationship — without hiring ML engineers or buying new tools.

See the partner economics → Apply to partner program

A 50-client MSP with 20% adoption in the white-label model generates an estimated $140K–$280K/yr in incremental revenue. Model your numbers →

The Objection

This isn't another tool you have to add to your stack.

MSPs resist adding services for a reason: every new offering means new certifications, new support burden, new tools your techs need to learn. Vermont AI Systems isn't software you manage. It's a service you resell.

No PSA or RMM integration required. Vermont AI runs in your client's environment — not on your stack. There's nothing for your NOC to monitor.
No certifications to maintain. You don't need ML engineers. You don't need an AI practice. You need clients who need private AI, and a willingness to have that conversation.
No L1/L2 burden on your techs. We handle all delivery, support, and model operations. Your team introduces the opportunity; we do the build. Post-launch support stays with us unless you want it.

The Program

Three ways to make money from private AI.

Model 1

Refer

10–15% referral fee

You make the introduction. We handle everything — discovery, architecture, build, support. You collect a finder's fee. Zero delivery burden on your team.

Details on the Refer model →

Model 2

Co-Deliver

Negotiated revenue share, typically 20–30%

You own the client relationship and account management. We deliver the AI under your brand — white-labeled deliverables, shared discovery calls where you lead.

Details on Co-Deliver →

Model 3

White-Label

You set the price — typically 30–50% markup

Full white-label delivery. All deliverables carry your MSP brand. Your clients don't know Vermont AI Systems exists. You are the AI vendor.

Details on White-Label →

50-client MSP base + 20% adoption + white-label model = estimated $140K–$280K/yr in incremental revenue at a 30–50% markup. Numbers vary by client size and deal structure. Model your exact numbers →

Division of Labor

What you sell vs. what we build.

No, you don't need to hire ML engineers. Here's exactly where your job ends and ours begins.

You Bring	We Bring
🤝Client relationship and trust — the only thing that actually sells this	🧠Private AI architecture — model selection, fine-tuning, RAG, deployment
📋Account management — QBRs, renewals, upsell conversations	⚙️ML and data engineering — training data prep, evaluation harnesses, model ops
📞Discovery qualification — you know which clients have the pain and the budget	📄Compliance documentation — data flow maps, HIPAA/SOC 2 design evidence, audit support
🗓️Deal timing and territory — you own the calendar and the region	🚀Deployment and ongoing model operations — updates, retraining, monitoring
💼Commercial terms — you invoice, you set margin, you own the P&L	🔒Security architecture — VPC isolation, access controls, egress policy, zero public LLM calls

Under the White-Label model, every deliverable carries your MSP brand. Clients see your name, not ours.

Tim Parrow · Founder

🏔️ Vermont-Based 🖥️ Pine Computers 🤝 Prosystem Technology 📅 20+ Years MSP Operations

Who Built This

Tim Parrow

Founder, Vermont AI Systems

Tim founded Pine Computers and Prosystem Technology — two Vermont MSPs he ran for over two decades. He knows the QBR cadence. He knows the margin pressure on managed services. He knows why you don't want another vendor asking for a spot on the next all-hands.

Vermont AI Systems exists because Tim watched his former MSP clients start making AI procurement decisions without guidance, often badly. When data eventually leaked through an unvetted AI tool, the MSP got the call. He built the firm he wished he'd had as a partner — one that understands the MSP relationship model and won't compete with it.

The pitch to your clients works because Tim has already been where you are. The trust transfers. The language is right. He's not a Bay Area AI founder learning what managed services means.

"I built this for the MSP I used to run. The pitch only works if it doesn't add work to your team — so that's the only thing we build."

— Tim Parrow, Founder

Sales Enablement

Everything you need to close the first deal.

The MSP Sales Kit gives you the tools to have a credible AI conversation with your clients — without knowing anything about ML. White-labeled assets you can send tomorrow.

White-label Buyer's Guide (8-page PDF, your brand)
Sample AI Readiness Assessment deliverable
Objection-handling email templates
Positioning FAQ for skeptical SMB clients
SE support on your first qualified discovery call

Get the Sales Kit →

Common Questions

What MSP owners ask us.

Do I need ML expertise to sell this? −

No. You need qualified clients and a willingness to make the introduction. We handle all the technical discovery, architecture, and delivery. Your team's job is to identify which clients have the pain, facilitate the first conversation, and stay in the account relationship. No ML training required — not even a crash course.

What's a realistic deal size? +

Assessments start at $7,500. Full builds run $35K–$150K+ depending on scope. Operations retainers are $3,500/mo. Most MSPs with regulated-industry clients can identify 2–5 qualified opportunities per year without aggressive outreach. At a 30% markup on a $50K build, that's $15K incremental per deal — with zero delivery burden on your team.

Who owns the client relationship? +

Always the MSP. We never go direct into your accounts. Under the Refer model, you introduce us and collect a fee — we manage the relationship from there. Under Co-Deliver and White-Label, you stay the account manager and the vendor of record. Your clients never see a contract with Vermont AI Systems on it unless you choose that arrangement.

How long does a build take? +

Assessment phase: 2 weeks. Pilot build: 4–6 weeks. Production build: scoped per project, typically 8–16 weeks for a full deployment. Discovery to signed SOW is usually 4–8 weeks. We don't rush. A private AI system that runs wrong is worse than no AI system — so we scope carefully before committing to a timeline.

What happens if my client churns? +

The client owns the model they paid for — it runs in their infrastructure, not ours. If they churn from your MSP, the AI keeps running without either of us. If they churn from the retainer, they keep the model weights and documentation. There's no vendor lock-in and no leverage on your account. The MSP relationship is entirely yours to manage.

Can I private-label all the deliverables? +

Yes — that's exactly what the White-Label model is designed for. The Buyer's Guide, Readiness Assessment, compliance documentation, and post-build ops reports all come in a format ready to brand with your logo. Your clients never see Vermont AI Systems in any deliverable unless you want them to.

What's the partner application process? +

Fill out the application at /partners. Tim reviews every application personally — you'll hear back within one business day. We're looking for MSPs serving regulated verticals with a minimum of 10 clients. We don't have hundreds of partners — we work with a small number of MSPs deeply, not a wide referral network loosely.

Ready to Start

Two paths forward.

Fastest path

Apply to the partner program

Tim reviews every application the same day. If we're a fit, you'll have a signed NDA and partner agreement within a week. Bring your first client opportunity and we'll scope it together.

Apply now →

If you want to talk first

Talk to Tim directly

Book a 30-minute call as an MSP owner. Not a sales pitch — just a direct conversation about whether this makes sense for your practice and your client base. Bring your hardest objection.

Book a call with Tim →