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Daniel De La Garza on Building AI Services for MSPs

Joe PannoneBy Joe Pannone August 6, 2026 · 2 min read
Daniel De La Garza on Building AI Services for MSPs

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Artificial intelligence is changing how businesses operate, and many organizations are adopting AI tools faster than they can establish policies around them. For managed service providers, that shift presents both a responsibility and an opportunity. Clients are looking for guidance on how AI is being used, how it should be governed, and how to balance innovation with accountability.

On this week’s MSP Influencer Primecast, Daniel De La Garza of Kipling Secure discussed how MSPs can help clients navigate AI adoption while creating new service opportunities. Rather than focusing on AI as a trend, Daniel emphasized practical conversations around visibility, governance, and responsible use. Here are four key takeaways from the discussion.

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1. Start with Visibility Into AI Usage

Before organizations can govern AI, they first need to understand how it’s being used. Daniel explained that businesses often know employees are using AI tools like ChatGPT, but they don’t always know which tools are being used or for what purpose. Understanding those use cases gives organizations the information they need to make informed decisions about AI adoption. Visibility becomes the foundation for everything that follows, allowing businesses to move from assumptions to actionable insights.

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2. AI Governance Is Becoming Part of the Conversation

Daniel shared that when Kipling Secure introduced its AI solution, many organizations initially felt AI governance could wait. Within a matter of months, those conversations changed as businesses began actively asking for ways to understand and manage AI use across their environments. As AI adoption continues to grow, governance is becoming an important part of helping clients use these tools responsibly while establishing appropriate guardrails around them.

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3. Responsible AI Still Requires Human Oversight

While Daniel sees tremendous value in AI, he also believes people remain an essential part of the process. Referencing recent examples of AI making unexpected mistakes, he emphasized the importance of keeping “the human in the loop.” His advice was straightforward: trust, but verify. AI can improve productivity and support decision-making, but organizations still need people reviewing outputs, validating results, and ensuring AI is being used appropriately.

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4. AI Creates New Service Opportunities for MSPs

One of Daniel’s strongest messages was that AI represents more than another technology to support. He described AI governance and visibility as an opportunity for MSPs to introduce a new service offering to existing customers. Rather than focusing solely on acquiring new clients, providers can expand the value they deliver by helping current customers better understand and manage AI throughout their organizations. As AI adoption continues to accelerate, MSPs have an opportunity to grow alongside their clients by addressing an emerging business need.

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What This Means for MSPs

AI is no longer a future discussion—it’s becoming part of everyday business operations. Daniel De La Garza’s insights highlight that MSPs are well positioned to help clients move beyond simply adopting AI tools and toward using them with greater visibility, accountability, and confidence. By understanding how AI is being used, supporting governance efforts, encouraging responsible oversight, and introducing services that address these challenges, MSPs can strengthen client relationships while adapting to an evolving technology landscape.

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