The questions your clients bring to their next meeting are already circulating in forums, community threads, and research tools today, and the MSPs shaping their answers now are the ones who will win those conversations.
Cynomi was built on the premise that the managed services community already knows what it needs. The best questions, the most useful frameworks, the real concerns about AI adoption and client risk: they surface in the places where service providers talk to each other without a vendor agenda in the room. So when we set out to understand how the industry is navigating AI, that’s where we looked.
Today, we’re releasing What MSPs Are Actually Asking About AI, a new industry report built from a year of real conversations across Reddit, AlsoAsked search trends, Perplexity Deep Research insights, and our own partner community. We didn’t run a survey. We didn’t commission an analyst. We read what MSPs were already writing, and we organized it into the five questions that came up most consistently: the ones generating the most debate, the most practical guidance, and the most honest disagreement.
Why We Built This Report This Way
Surveys tell you what people say when a vendor is asking. Community discussions tell you what people actually think.
From May 2025 through May 2026, we analyzed MSP conversations across public forums and AI research platforms, looking for signal in the noise: which topics generated sustained engagement, where consensus was forming, and where the industry remained genuinely divided. The report reflects that analysis without editorializing it into a vendor narrative.
What emerged is a picture of an industry in active, thoughtful transition. MSPs are not standing still on AI. They’re experimenting with it, advising clients on it, arguing about specific tools, and reckoning with what it means for their business model over the next several years. The questions they’re asking are sophisticated and, in several cases, the field hasn’t settled on clear answers yet.
The Five Questions
1. How do we say “no” to client AI requests without losing the account?
This question generated some of the most practical discussion we found. The consensus that emerged, reflected in contributor perspectives from Andrew Morgan at Right of Boom and others, is that the goal is not to say no but to redirect. When a client arrives with a half-formed AI idea, the MSPs winning those conversations are the ones who get curious first: what outcome is the client actually trying to achieve? Nine times out of ten, there’s a legitimate business goal underneath the request, and the MSP who surfaces that goal and delivers it with appropriate guardrails becomes a strategic advisor rather than a procurement obstacle.
2. Are clients leaking sensitive data into AI tools?
The short answer, based on community consensus, is yes. Clients are pasting contracts, HR records, source code, and client communications into public AI tools because a useful prompt requires real business context, and real business context means real business data. The behavior is rational from the user’s perspective even when the risk is significant. Written policies restricting AI use without providing sanctioned alternatives don’t reduce the behavior; they push it underground. The MSPs getting ahead of this issue are the ones discovering shadow AI use proactively and giving clients a compliant toolset that doesn’t require trading productivity for security.
3. Where does AI actually deliver value in the service desk?
This question produced the most nuanced discussion in our analysis. Community consensus points to ticket triage, knowledge base generation, and first-response drafting as areas where AI is already delivering measurable time savings, findings that align with what partners told us in our earlier exploration of how MSSPs are scaling with AI and automation. Where AI consistently falls short is in situations requiring contextual judgment, client relationship sensitivity, or institutional knowledge about a specific environment. The service desk use cases that work are the ones where the task is well-defined, the output is reviewable, and a human stays accountable for the result.
4. Is Microsoft Copilot good, and should MSPs sell it, bundle it, or recommend alternatives?
This is the question where the community is most divided. Copilot’s value is highly dependent on the client’s existing Microsoft 365 maturity, data governance posture, and user adoption capacity. MSPs serving clients with strong M365 foundations report meaningful productivity gains. MSPs serving clients with governance gaps report Copilot surfacing information that should have been access-controlled but wasn’t. The emerging playbook involves assessing Microsoft 365 readiness before recommending Copilot, treating the assessment as a billable engagement, and positioning the MSP as the advisor who ensures clients get value from the tool rather than the vendor who sold it.
5. Will AI replace MSPs, or change what clients need from them?
Across every forum and research platform we analyzed, this question produced the clearest consensus of any topic in the report. AI is accelerating the shift toward advisory services, not eliminating the need for them. Routine operational work is becoming automated. What clients increasingly need is governance, risk management, compliance expertise, and strategic guidance: the work that requires judgment, accountability, and an understanding of their specific business context. The service providers positioned to capture that opportunity are the ones building those capabilities now, while competitors are still debating whether AI matters.
What the Report Reflects About Where the Industry Is Headed
Across all five questions, a common pattern emerged: clients are adopting AI faster than governance frameworks can keep pace, and MSPs are being asked to close that gap. That’s not a threat to the managed services model. It’s an expansion of it.
The service providers who will grow in an AI-accelerated environment are the ones who can help clients adopt AI safely, identify where it creates operational efficiency, and position themselves as the trusted advisors who make AI work rather than the vendors who sold it and moved on.
That shift is already underway. The conversations in this report are evidence of it.
What Contributors Told Us
The report includes perspectives from MSP and cybersecurity leaders who are working through these questions with clients every day: Andrew Morgan of Right of Boom, Dara Gibson of Cyber Ready, Thomas Bergman of Proven IT, Don Monistere of General Informatics, and Cynomi’s own co-founders and Chief Evangelist Tim Coach.
A common thread runs through their contributions: the competitive threat in this environment is not AI replacing MSPs. It’s AI-enabled MSPs outperforming traditional ones. The practices that internalize AI as an operational capability, rather than treating it as one more product line to resell, are the ones that will widen the gap on everyone else. Service providers like ECI, which grew margins by 30% by building a systematic advisory delivery model, are early evidence of what that looks like in practice.
What’s Next
On July 16, we’re hosting a live webinar where we’ll work through these five questions with the practitioners who contributed to the report. It’s a free, one-hour session with no slides dressed up as insights, just the people answering these questions for clients every day, alongside Cynomi Co-Founder and CIO Roy Azoulay and CMO Erin McLean. We’ll also demo Cynomi’s AI Co-Workers live, including early preview results showing up to 4x operational efficiency gains and more than 10 hours of manual work saved per week. Read the full report and save your seat for July 16 here.