Inside the AI stacks of 2026’s most competitive MSPs

AI hasn’t just changed the stack; its rebuilt it from the ground up. Here’s a closer look at what separates AI-mature MSPs from the rest—how they’ve reshaped their stacks, what deep vendor integration looks like and the moves you can make now to catch up.

What mature AI adoption looks like today

 The MSPs pulling ahead aren’t just adding AI tools, they’re putting AI to work inside their environments. Mature AI adoption means “integrating it not just into your tool stack, but also having it look at things within your environment,” says Charles Henson, Owner of Nashville Computer. When AI handles dashboard monitoring and routine alerts, MSPs can stay focused on the tasks that actually require human intervention.

AI can also flag when tickets are approaching SLA limits, when a customer response has stalled or which clients are generating the most volume, Henson says. The goal is visibility, not replacement. “People think that you’re going to create this tool and it’s going to do this job for you. [Instead, AI] is reading dashboards, SLAs and workflows, making sure that we give our clients the best experience we can.”

Direct resolution is the next hallmark of mature AI adoption, says Sam Suglio, President of DMA Tech Solutions. “Not just a note-taking summarization tool—those are pretty commonplace at this point—but if the AI can assess a particular issue a customer reports, then implement a fix, that’s the most powerful form [of AI adoption]. It’s the most immediate resolution on the customer’s behalf and the least amount of cost on the MSP side of things.”

How stacks are evolving with AI

Since becoming more mainstream, AI hasn’t just added more tools to the stack. It has forced MSPs to rethink how data moves, where efficiency breaks down and what security really needs to cover.

“There are tools to leverage AI for good and for bad. If somebody can use it to produce an authentic-looking impersonation, we can also leverage the same tools to provide more robust verification standards,” Suglio says. “As the threat potential increases, the security and defense potential increase simultaneously.

For Henson, Deep Instinct and Neo are the standout additions delivering the most direct value: mitigating attacks and dispatching tickets. Suglio’s MSP has taken a different approach entirely, developing custom text and voice AI tools in-house.

MSPs have no shortage of options. Kaseya Intelligence helps streamline operational workloads by “alleviating many of the repetitive tasks MSPs have to do, while completing that work in a way that aligns to the MSP’s operations,” says Brad Veregin, Director of Product Marketing at Kaseya. “The biggest advantage Kaseya has is the breadth and depth of the operational data connected across our platform,” Veregin says. “That context enables more relevant insights and more accurate automation without requiring users to repeatedly gather information or explain their environment.”

Examples include Autotask PSA’s Digital Specialist for Ticket Triage, which assesses incoming tickets and assigns the best available technician, and Kaseya Assist in IT Glue, which allows users to ask questions in plain English and quickly find information about features, troubleshooting and more.

“The value of Kaseya’s connected platform is that intelligence can draw from a richer operational data set,” says Wendy Har, Sr. Director of Product Marketing at Kaseya. “That helps MSPs replace time spend on mundane tasks while getting more value from the technology they already own.”

Where MSPs are seeing measurable ROI from AI

Early AI adopters are already seeing measurable ROI, and in some cases, it’s reshaping roles entirely. “Dispatching tickets used to be a full-time position; now that person dispatches technicians to go on site, but they also do marketing work and other admin activities in the office,” says Henson.

AI is also saving technicians significant time—not just moving through more tickets, but eliminating the busywork that slows them down. “It can vary based on volumes, but multiple hours per technician per week are saved with just those basic tools implemented,” says Suglio.

The client experience improvements AI has enabled have also helped Henson’s MSP retain clients, though that ROI is more difficult to track. “With our SLAs not being missed, I know we are keeping our clients happy. I know they’re not looking for service with other providers because we’re not missing targets or deadlines, or because they’re unhappy with our service,” he says. “The business intelligence summary we get helps us ensure the clients are happy.”

Advice for MSPs looking to take the next step

Not all AI adoption is equal. “You can use AI to rewrite your emails, but when you have it integrate with your system and look at the tickets and workflows, now you’re not just ticking a box. Now you’re actually integrating AI into your environment,” says Henson.

For any MSPs who aren’t sure how to move beyond basic AI adoption, Henson advises first “understanding what you can do. And if you’re not sure what AI can do, don’t be afraid to ask it how you can use it better. You don’t have to overcomplicate it. My advice is to start adopting it, but don’t believe it 100%. You have to understand that it does hallucinate; you need to check and verify most everything that it does and tells you.”

Suglio anticipates that customer expectations are going to evolve as more MSPs, including your competitors, move towards an AI-integrated model. “For example, there used to be a standard of a Monday through Friday, 8am-5pm coverage experience. I think that is going to quickly change to a 24/7 support experience that customers are expecting. Because it’s not only possible to implement that, but it’s going to be increasingly easy,” he says.

Additionally, keeping up with vendor tools as they evolve will be critical. “We also need to leverage backend tools as they develop,” says Suglio, “to take full advantage of any new capabilities they have—increased memory, enhanced context, increased speeds when doing compute or look up functions.”

Related: AI will change your business. Humanity will grow it.