Artificial intelligence (AI) practice launch for managed service providers (MSPs)
Your clients are asking about AI. Sell it as your own.
NUOPTIMA gets your team ready to sell AI training, fractional AI advice and workflow automation. We hand you the offer, the price cards, the sales motion and the delivery playbook, train one named person on your team, and coach them through your first ten deals. You bill the client and keep the revenue.
Your name on the practice. Our playbook behind it.
You'll speak with Alexej Pikovsky, NUOPTIMA's founder. Bring one client who is asking, and we'll map the first offer and who on your team could lead it.
- 3 offers your team learns to sell: training, a fractional AI advisor and workflow automation.
- 6 weeks to launch the practice, with your first client quote planned for week five.
- 0 NUOPTIMA people working in your client's systems. The client work stays with your team.
Prepared for Harbor Dental Group, 4 offices, 45 staff.
What your client sees. Your logo and your name on every page. NUOPTIMA appears nowhere on it.
Sample report. Harbor Dental Group is fictional and every figure is illustrative.
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3
offers your team learns to sell: training, a fractional AI advisor and workflow automation.
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6
weeks to launch the practice, with your first client quote planned for week five.
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0
NUOPTIMA people working in your client's systems. The client work stays with your team.
Your clients stay yours.
We never sell AI to your clients and we never build for them. Every report, workflow and training session carries your brand, and your team stays the one they call.
Your name on the practice. Our playbook behind it.
The working rules are simple.
- Brand
- Your client sees your logo, your name and your service.
- Delivery
- Your practice lead maps, quotes, builds and keeps it running. We coach from behind.
- Pricing
- You set the client price and bill the client yourself. Our fee is flat, with no share of your AI revenue.
- Access
- We hold no access to your client's systems. Tenant work stays with you.
Your peers have started selling it.
A 2026 poll of 52 MSP owners in The Tech Tribe community asked where they stand on AI:
Source: member poll, The Tech Tribe, 2026. 52 responses.
The work lands in a tenant you already manage.
Copilot can surface any file a user has access to. A knowledge agent is only as safe as the permissions under it. You already run the tenant, the permissions and the security boundary, and your clients already call you when something breaks.
Your readiness report and governance work stay yours. MSP owners tell us the money on top of them comes from training, advice and automation priced on hours saved.
An AI agency your client finds online starts with none of that. You start with all of it.
What you can sell
Sell it one step at a time.
Readiness and governance stay in your corner. We get you ready to sell the three steps above them. Each is its own line on your invoice, and the last two bill every month.
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Assess.
Readiness and governance.
Yours already: the tenant scan, data exposure, tool discovery, policy, and the findings you present at the quarterly business review (QBR). We add one page to the end of your report, a wishlist of the tasks the client repeats every week.
Your report, your fee
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Train.
Live AI training.
A half-day session for a small room: what the tools are, how to build a simple automation, and 30 to 40 percent of one real client workflow built live. Your trainer runs it under your brand, with monthly sessions to follow.
You bill per session
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Automate.
Workflows priced on hours saved.
One mapped workflow at a time. Your practice lead maps the process, builds on the client's own tools, hands it over with training and keeps it running. The client owns what is built. You sell the upkeep.
Setup fee, then monthly care
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Advise.
Fractional AI advisor.
A named person at your MSP accountable for the client's AI roadmap: a monthly working session, a quarterly roadmap, first-line answers and triage of new ideas. Development hours stay outside it.
You bill it every month
Pricing
You set the price. You keep the revenue.
- You set every price and bill the client yourself.
- Quote a workflow at about half the labor it replaces.
- Our fee is flat, separate and quoted on the call.
MSP owners tell us they charge $200 to $1,500 a month per workflow, and about $2,000 a month for fractional AI advice with no development inside it. You set your own numbers in week one.
| Line | Sold | You charge | Adds up to |
|---|---|---|---|
| Workflow care (every month) | 10 | $750 | $7,500 |
| Fractional advisor (every month) | 3 | $2,000 | $6,000 |
| Workflow setup (one time) | 10 | $3,000 | $30,000 |
| Training session (one time) | 6 | $2,500 | $15,000 |
Monthly lines at month twelve: $7,500 + $6,000 =
$13,500 a month
of revenue, plus $45,000 in one-time fees.
Assuming six months of recurring billing on average, year one comes to about $126,000: $13,500 × 6 plus $45,000. That is revenue before your team's time, and your practice lead's build hours are the limit.
The six-week launch
Six weeks to launch your AI practice.
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Set the offer.
We set the price cards against your client base and labor rates, and you name your practice lead.
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Get the sales kit.
The wishlist page, opportunity register, value presentation, quote template, hours-saved calculator and the triggers your account managers listen for.
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Train the trainer.
We run the half-day client session for your team, the way a client would see it, so your lead has the format to deliver.
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Build the first workflow.
Your practice lead builds the first workflow from your register with us on the call. You also get our recipe library.
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Run the first client.
We sit in on your first wishlist call and first value presentation, then review the quote before it goes out.
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Market the practice.
Practice pages, content and a free live session go live on your site, with outbound pointed at them and a scorecard to track it all.
After the launch, the coaching continues. A weekly office hour with your practice lead, a review of every AI quote before it goes out for the first twelve months, a new recipe each month and a monthly scorecard.
How to sell it
What works when MSPs sell AI.
We shaped this motion inside an MSP and from what MSP owners tell us works. These are the six moves we install, in the order your account managers use them.
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End every readiness report on a wishlist.
The last page asks one question: which five tasks does your team repeat every week? Collect the answers in the room.
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Score what comes back.
Every wishlist line gets a name, hours a week, a loaded cost and a score. Your practice lead works the top of the register, not the loudest client.
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Put a labor number next to the workflow.
Who does it, how many hours a week, what they would do instead. Labor cost on one line, your quote at about half on the next.
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Land one workflow.
A setup fee plus a monthly care fee. Hand it over with a training session so the client's team owns the simple changes.
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Attach the advisor.
Once a workflow is live, the client has someone to call. That is the fractional retainer, sold as accountability rather than hours.
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Prove it at the quarterly review.
Hours saved, usage before and after, and the next three items on the register. The register is the renewal.
Why we can coach this
We did this inside an MSP first.
These four systems run today inside the managed service provider in the United States where our founder runs growth. That is the experience we coach from. For your clients, your practice lead does the building.
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Client sentiment monitoring.
Live since August 2026Reads every client success call transcript and flags risk on the day of the call. The client success team uses it every day.
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Sales call scoring.
Live since September 2026Grades every discovery, qualification and proposal call against a fixed framework, and is used every day.
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Market intelligence briefing.
Running todayGathers industry signals on a schedule and drafts a newsletter every two weeks for a person to review.
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Social content drafting.
Running todayDrafts the next month of posts from what performed recently and the latest newsletter. A person approves every post.
Who you'll work with
Alexej Pikovsky
Chief Executive Officer and Founder
Alexej is a private-equity-trained operator. He spent a decade in investment banking, a family office and private equity, working on more than $7 billion of mergers and acquisitions. He acquired and scaled the consumer brand 96 North. Today he runs growth for an MSP in the United States, where several of the systems on this page were built first.
Behind him, the NUOPTIMA team runs the coaching and marketing side of every launch.
Questions
What to know before the call
Who builds the workflows?
Your practice lead, on the client's own tools, with us on the call for the first one. The client owns what is built and you sell the upkeep. We do not build for your clients, and that keeps the margin and the relationship with you.
Is this white-label AI delivery?
No. White-label delivery means another company builds behind your name. Here your own people sell and deliver under your name, and we coach them.
Does my client ever see NUOPTIMA?
Only if we sit in on your first wishlist call and first value presentation, as your coach. Everything your client receives carries your brand, and your team presents it.
Will you sell AI to my clients?
No. We never sell AI to your clients.
Who supports the client?
You do, the same way you support everything else you manage. Your help desk stays the front door and your practice lead handles the workflows.
How do pricing and my revenue work?
You set the client's price, bill them yourself and keep it. Our fee is flat and separate, with no share of your AI revenue. We quote it on the call.
What keeps this profitable?
Five rules: every build is a quoted project that rolls into a care fee once live; the process gets mapped before any tool is named; the client owns what is built; you sell the workflow with a labor number next to it, not "AI"; and you land one workflow before expanding.
What happens to client data?
We hold no access to your client's environment. We see the quotes you send us for review and whatever your lead shares on a coaching call.
What do you need from us?
One named practice lead with time for the work, and account managers who will open the conversation. The launch starts once that lead is named.
How is this different from MSP AI advisory?
MSP AI advisory puts AI to work inside your own MSP: sales call scoring, client sentiment monitoring, content and reporting. This page covers what you sell to your clients. We usually suggest starting inside your own shop, because it gives your team proof to show, but it is not a requirement. Plenty of MSPs start with a client who is already asking.
How do we start?
Book a practice call. If it is a fit, you name your practice lead and week one sets your price cards.
Bring us the client who keeps asking about AI.
On the call, you'll talk through that client, who on your team could lead the practice and what the launch would cost.
Your name on the practice. Our playbook behind it.