Managed service providers (MSPs) can make growth more sustainable by explaining the business outcome behind a service before naming the technology. At MSP Summit 2026, speakers connected that approach to four practical habits: understand the client’s business before proposing a solution, shape services around a specific problem, track the costs and safeguards involved in delivery, and use automation to make more time for valuable client conversations.
What does it mean to prove an MSP’s value?
It means describing a service in terms a client can connect to their work: who it helps, which workflow it changes, and what business outcome it supports. A list of platforms, tools, and technical tasks may explain what an MSP does, but it does not by itself make clear why the work matters to the buyer.
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At the summit, Megan Killion of Pisces Growth Consulting made this distinction directly: “Strategic value requires a specific buyer, a specific workflow, and a specific outcome. AI is the enabling technology. It is not the value proposition.” The same reasoning applies beyond AI. A service is easier to understand when the technology is presented as a means to an outcome, rather than as the outcome itself.
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For example, an MSP might describe Microsoft 365 management not just as administration of accounts and services, but as support that helps a business add employees and locations without technology slowing its expansion. That framing connects the work to a business need; the exact outcome will depend on the client’s circumstances.
How should an MSP respond when a client asks about AI?
Start by finding out what the client is trying to accomplish. An AI question can be an opening for a business conversation—not a reason to jump straight to a product or promise. Chance Weaver of Pax8 described AI as one tool among others and urged MSPs to understand the client’s business before translating a question into a service.
Discover the business need before proposing a solution
- Ask which task, workflow, or business problem prompted the question.
- Find out who is affected and what a useful improvement would look like to the client.
- Assess whether the client’s leadership supports the proposed change and whether the organization is prepared to adopt it.
- Only then consider whether AI is appropriate, whether another approach fits better, or whether the need calls for a broader service.
Jason Rincker of New Charter framed readiness as a set of questions for organizations to consider: Are they prepared for AI, is it more than a buzzword, and has leadership bought into the transformation? Those questions point to adoption and organizational readiness, not just technical capability.
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How can an MSP turn a client problem into a service?
Discovery should shape the service itself. Once the MSP understands the buyer, workflow, and desired outcome, it can decide what work to provide, how that work fits into an ongoing relationship, and what it will take to deliver reliably. This is more specific than adding an “AI service” label to an offer without establishing what the client needs.
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Start with a focused offering and learn its delivery economics
Faouzi’s reported advice was to begin with one offering, understand its consumption, bundle it with services, and learn how to deliver it before scaling. The underlying business point is important: new revenue is not automatically profitable revenue. If usage-based costs are not visible, an MSP may sell more while losing track of what delivery costs.
- Choose an offering tied to a defined client need.
- Understand how consumption affects the cost of providing it.
- Account for the services that accompany the technology rather than treating the tool as the entire offer.
- Build delivery experience before expanding the offer broadly.
This is a practical sequence, not a guarantee of margin. The summit report does not provide a pricing formula or a universal cost threshold; each provider’s economics will depend on its offering and delivery model.
What security and governance work comes with client AI adoption?
When a client adopts AI without clear rules or safeguards, the provider may need to address governance as part of the broader service conversation. The summit report points to gaps such as missing policies, acceptable-use rules, data safeguards, and monitoring. These are operational questions to clarify with the client, not details to assume are already covered by the AI tool.
- Policies: Establish whether the organization has rules governing AI use.
- Acceptable use: Clarify what staff may and may not do with AI tools.
- Data safeguards: Determine how the client intends to protect its information.
- Monitoring: Identify whether use is monitored and who is responsible for oversight.
The broader takeaway is to keep cybersecurity fundamentals and clear service messaging in view even when AI dominates client attention. John Snyder, CEO of Net Friends Inc., said the event had emphasized cybersecurity fundamentals and differentiation, adding that AI “does suck up a lot of oxygen.”
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Automation can create value not only by reducing manual work, but also by changing how staff spend the time it frees up. The summit report describes technicians being retrained and AI being used to assemble reports so employees can spend more time discussing outcomes with clients.
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That distinction matters. Automating a task is not, on its own, proof that clients receive more value. The benefit depends on how the provider redeploys capacity—such as toward interpretation, planning, or conversations about whether the service is helping the client’s business.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What did MSP Summit 2026 report about endpoint management?
ChannelPro reported a PartnerOptimizer presentation finding that 47% of MSP 501 providers emphasized endpoint device management, compared with 11% of the broader group. PartnerOptimizer founder and CEO Dina Moskowitz said the analysis covered roughly 46,000 companies. The report does not provide the underlying analysis or detailed methodology, so these figures should be treated as a finding presented by PartnerOptimizer and reported by ChannelPro, not as an independently verified benchmark.
Moskowitz’s reported message to providers was twofold: endpoint management may represent an opportunity for MSPs that do not include it in their services, while providers already offering it may need to explain it more clearly to prospects and customers. The statistic alone does not establish which service mix is right for an individual MSP.
What is the context behind these takeaways?
These themes come from Anjali Fluker’s ChannelPro account of MSP Summit 2026, hosted by Informa in Orlando, Florida, from September 28 to 30, 2026. The article reports on sessions, panel remarks, and attendee comments; it is event coverage, not an independent evaluation of vendors’ claims or a transcript of every discussion.
For MSPs, the useful thread running through the reported discussions is that growth depends on making the connection between client need, service design, delivery economics, and business outcome visible. Technology can enable that work, but the provider still has to discover what matters to the client and explain how the service addresses it.
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