Every major shift in business technology has had a version of the same story: a handful of companies moved before the market was ready, packaged something confusing into something simple, and built the recurring revenue that came to define the winners of that era. GoDaddy made domain registration accessible to anyone with an idea, when it used to require technical know-how and a much bigger check. Rackspace turned the still-unproven world of cloud computing into a managed service businesses could simply buy. Salesforce sold subscriptions to cloud software while everyone else was still selling installed licenses on a five-year cycle. None of these companies waited for certainty. They built the playbook while the market had a lack of clear direction and they made money doing it.  

AI is that same moment, except faster than anything that came before it. ChatGPT reached 100 million users in about two months. Instagram took two and a half years to hit the same mark. The internet needed decades to reach that level of adoption. AI isn't just changing faster, it's compounding, which means most businesses can't fully explore what it's already capable of before the next capability shows up.  

That gap between what AI can do and what businesses have had time to absorb is where the money is. Employees are experimenting on their own, without waiting for permission. Customers are asking questions they don't yet have the language for. Business leaders know, even if they can't articulate it yet, that they need an AI strategy, and they need someone to help them build it.  

Hatz AI has worked with MSPs at every stage of the AI journey. A clear pattern has emerged: the MSPs making real money with AI are doing what GoDaddy, Rackspace, and Salesforce did before them: getting ahead of new technology, packaging it simply, and building the recurring revenue that comes from being the trusted partner who figured it out first.  

Here are the nine things leading MSPs are doing to win market share and establish their Managed AI practice:  

1. Your MSP Becomes Customer #1  

It is hard to sell what you do not use. In the leading MSPs, sales prepares for meetings with AI, service teams summarize and accelerate repetitive work, marketing creates content, and leadership analyzes information with it. Aim for five practical internal use cases and a few internal champions. Then the customer conversation changes from “AI could help your business” to “here is how we already use it in ours.” That is a much stronger place to start.  

2. The CEO Leads the Way 

 If one thing separates the leaders from everyone else, it is this: the CEO is engaged and leading. AI is a company strategy, not a project delegated to one technical employee. The strongest starting move is simple. The CEO picks five customers where executive trust already exists and personally helps lead the AI conversation. Not to sell a sophisticated project on day one, but to learn: How is the customer thinking about AI? Where are employees already using it? What worries leadership about security, governance and cost? Those five conversations teach you more about your market than any webinar. And as you will see, leading MSPs do not stop at five. 

3. The Commercial Model Is Simple 

Customers do not want to buy tokens, models and consumption tiers. They want to know what they are getting, what it costs and what happens next. Leading MSPs offer a clear starting point, a clear price and a clear path to expand. Think crawl, walk, run: secure AI access first, then broader adoption, then integrations, applications, agents and automation. One thing the best MSPs internalize early: the initial monthly recurring revenue is the foundation, not the total opportunity. You do not need to sell the entire AI future on day one. You need to make it easy to start. 

4. Sellers Have a Reason to Sell It  

If AI is strategically important to the MSP but economically irrelevant to the salesperson, it will not get sold. Leading MSPs make sure AI counts toward quota and rewards both new business and expansion. Then they keep enablement simple: start with one motivated salesperson, work their first accounts together, and build the playbook with that one person before rolling it out. Prove it, then replicate it. 

5. Every Customer Knows You Are in the AI Business  

Here is something most MSPs have not done yet: declare it. Leading MSPs make a public statement to their customer base: we are in the AI business, and we are the partner you should trust to govern, enable and expand your AI usage. Every managed customer hears it through QBRs, newsletters, events or direct outreach. This matters because customers are already using AI, often without oversight. Data is leaving the building and leadership does not know. If your customers do not know you offer AI services, someone else will tell them they do. 

6. Lead With the Business Problem, Not the Technology  

Customers do not wake up wanting an LLM or an agent. They have problems: reports that take hours, service teams answering the same questions, employees experimenting with public AI tools without oversight. Start there. Ask what employees do repeatedly that AI could make dramatically easier, then find the first simple, valuable use case. And meet each customer where they are. Some need education and a governed on-ramp. Some feel the cost of per-seat AI tools and need help with the math. Some are happy with their current tools and benefit most from a respectful review of spend, security and shadow AI. The conversation changes; the goal does not. 

7. Secure AI Is Available to Everyone  

The biggest mistake is treating AI as something reserved for a small group of innovators. The gap between employees who use AI well and those who do not is growing, and MSPs are uniquely positioned to close it. Give every employee an approved, secure AI environment with the right controls on models, data and usage. Do not wait until you have mapped every use case. Turn it on, help people start, and learn from what happens. 

8. There Is a Customer Success Motion After the Sale 

Provisioning AI is not adoption. Leading MSPs stay involved after go-live: they track usage, spot the teams getting value, surface new use cases, introduce integrations, and help customers progress from prompting toward workflows and agents. Instead of discussing AI once a year at a technology review, the MSP becomes the partner continuously showing the customer what is now possible. That is a valuable position to occupy. 

9. Five Becomes Twenty  

The first five customers are not the goal. They are the proof. Once the first five are live, leading MSPs measure what happened, turn the results into stories and references, then scale deliberately: the next twenty customers, more sellers running the same motion, AI woven into the standard managed-services relationship. The north-star question is simple: what percentage of our managed customers started their AI journey with us? When that number keeps climbing, the motion is working.  

The Winning Test  

If your best customer called tomorrow and said, “We need an AI strategy. Can you help?” do you know exactly what happens next? Who takes the call, what you assess, what they start with, how fast their employees get secure AI, and what happens 30 days later? If those answers are clear, you are building an AI practice. If not, that is the work.  

The First 90 Days  

Days 1-14: Become Customer #1

Make secure AI available internally. Find five internal use cases. Develop champions. The CEO makes AI a visible, standing priority.  

Days 15-30: Build the Motion  

Define the offer, pricing and seller compensation. Enable your internal teams. Tell your customer base you are in the AI business. Name your first five customers.  

Days 31-90: Activate and Learn  

Get the first five live on secure AI. Measure adoption. Capture wins. Turn the learning into the playbook that takes five to twenty.  

The MSPs winning with AI are not the ones with the most sophisticated technology. They are the ones with the CEO leading the way, their own company as proof, a simple offer, motivated sellers and a customer base that knows exactly who to call. 

MSPs are already doing this and rolling out Hatz to their clients in bulk. The opportunity is there. Hatz has the product and the playbook to position MSPs as the hero of AI.