How AI Is Impacting Managed Service Providers?

AI is rapidly reshaping MSPs across multiple dimensions, from operational efficiency to customer engagement and service innovation.

At NexusTek, AI has been instrumental in reducing the time and cost associated with service outages. Their Nexus Tech Secure AI platform enables clients to test and select from different AI models based on their needs, whether security, operations, or customer service, and in doing so, improves response times and cost-effectiveness.

Similarly, Trace3 has integrated AI into knowledge management, analytics, and service delivery. By automating anomaly detection and leveraging AI-powered knowledge retrieval, they’re reducing resolution times, lowering downtime, and enabling engineers to deliver faster, more efficient services.

In the realm of security, Ahead is applying AI in its SOC to manage millions of daily alerts. AI helps identify threats, triage effectively, and suggest remediation steps, enhancing both speed and scalability.

These developments collectively illustrate that AI is not merely a support tool; it’s becoming central to how MSPs deliver, scale, and differentiate services.

The Rise of Agentic Intelligence MSPs Becoming “Self-Running”

Pax8 CEO Scott Chasin recently declared that MSPs are transitioning toward being “self-running businesses”, empowered by AI agents that plan, execute, and scale workflows with minimal human involvement. He described a paradigm shift from reactive software to AI that can reason and act autonomously.

This agentic shift signals a move towards Managed Intelligence Providers where digital labor performs routine tasks, freeing up human teams to focus on strategic value creation.

Growth and ROI: AI as a Financial Game‑Changer

The financial dividends of AI adoption are being realized across the sector. iCorps CEO Michael Hadley reported that AI automation has driven an estimated 15% sales growth, with one client saving $200,000 annually by using AI (specifically Microsoft Copilot) to streamline contract proposals and project management.

Pitching in from Canada, MSP Corp forecasts 10% growth from cybersecurity and AI offerings, while ABM Technology Group anticipates 10–20% growth, boosted by client curiosity and Copilot deployments.

Security, Shadow AI, and Trust: Complex Challenges Ahead

While AI offers significant advantages, it also introduces new risks, especially when used without oversight.

Security executives articulated a clear concern: What is the MSP’s AI role and value proposition? As OpenText’s Mike DePalma put it, AI isn’t a product to simply resell it calls for reconceptualizing service models and value creation.

The fragmentation of tools and capabilities presents a real barrier. Cato Networks’ Addie Finch warned: “AI and the bad guys are going to punish complexity.” MSPs must rethink and possibly consolidate their service architectures to effectively handle agentic scale.

Another critical dimension is shadow AI, the unsanctioned use of generative tools that can open up data risks. AI consultant West McDonald cautioned that these uncontrolled deployments are “the biggest invisible threat” to clients’ data. MSPs have a crucial opportunity to guide clients on safe AI usage, governance, policy development, and privileged tool deployment.

Becoming Trusted AI Advisors MSPs as Curated Guides

Many SMBs find AI too daunting to navigate. Inky’s Dave Baggett drew the parallel to cybersecurity: “MSPs can morph into AI advisors… ‘I know about 700 AI‑related technologies. Here are the five you need.’”

AVLA and Covenant Technology Solutions are already doing this, helping clients compare ChatGPT, Microsoft Copilot, and Grok for different tasks, emphasizing data governance, and building in AI policies and training.

As Addie Finch put it, MSPs must not just monetize AI; they must help customers prepare, for example, with cloud migration, data readiness, or secure architecture before any AI solution is deployed.

Data: The Critical Enabler of AI Outcomes

Ingram Micro’s CDO, Sanjib Sahoo, reminded MSPs that “Data is the oxygen and blood for AI”. Without clean, harmonized, and accessible data, AI cannot fulfill its potential. Sahoo advocates MSPs lead with improving clients’ data infrastructure, cloud migration, harmonization, and application modernization as the prerequisite to enabling AI.

Vision: Industry 5.0 and the Long-Term AI Arc

ConnectWise CEO Manny Rivelo frames the future era as Industry 5.0, where AI and humans work collaboratively. MSPs who lead with security, integration, and AI will guide SMBs into this new phase.

Meanwhile, ConnectWise’s Jeff Bishop estimates that AI will evolve the MSP business over the next 30–40 years, representing trillions in economic opportunity and likely automating 30% of current jobs. This will call for new roles, responsibilities, and strategies around cybersecurity, deepfake resistance, and AI‑enabled workflows.

What MSPs Must Do Now?

Here are some of the steps managed service providers can take to thrive in the AI era.

1. Embed AI in core operations:
   • Automate ticket triage, incident detection, and resolution via AI-enabled platforms like NexusTech Secure, Trace3, and Ahead’s SOC enhancements.
2. Experiment with agentic agents:
   • Begin piloting autonomous AI agents for workflows and orchestration, preparing for a future where tasks may be “just a prompt away” as per Pax8’s vision.
3. Measure impact and ROI:
   • Track cost savings, response times, customer satisfaction, and revenue growth associated with AI deployments like iCorps’ 15% growth milestone.
4. Build trusted advisory services:
   • Offer curated guidance on AI tools (e.g., Copilot vs. ChatGPT vs. Grok), policy building, data governance, and user training.
5. Secure AI adoption:
   • Address shadow AI risks with proactive governance, client education, tool configuration, and admin oversight.
6. Strengthen data foundations:
   • Invest in cloud migration, data cleanup, consolidation, and governance to unlock AI’s full value.
7. Rearchitect operations strategically:
   • Simplify tech stacks, ensure integration and orchestration, and design AI-ready workflows.
8. Prepare teams for transformation:
   • Start new hires or re-skilling efforts to accommodate AI-driven roles, encourage internal trust, and manage transitions thoughtfully.
9. Lead your clients into Industry 5.0:
   • Embrace the long-term trajectory of AI and position your MSP as the guide for SMBs in this emerging phase of human-machine partnership.

Conclusion

AI represents both a momentous opportunity and a profound call to adapt for MSPs. From automating routine workflows to enabling real-time security analytics, enriching service delivery through contextual knowledge, and guiding clients through the AI maze, MSPs that proactively harness AI can transform their offerings, enhance growth, and secure their relevance in a dramatically evolving landscape.

As multiple executives have emphasized:

AI isn’t a product to resell, it’s a new way to deliver value.
Managing complexity and securing AI are paramount.
MSPs can lead by helping customers use AI responsibly, securely, and effectively.

The future is decisively not AI versus humans, it’s AI with humans. MSPs are uniquely positioned to lead that integration. How is AI impacting managed service providers in your opinion? Share it with us in the comments section below.