Episode #854 of the MSPi PrimeCast
Artificial intelligence is creating new opportunities for MSPs, but according to Mike Gallagher, CEO of FlowMind Networks, success isn’t about chasing the latest technology. It’s about using AI to solve real business problems, improve efficiency, and create more value for customers. Throughout his career in networking, cybersecurity, and AI, Gallagher has seen technology evolve rapidly, but he believes the MSPs that succeed will be the ones that combine innovation with strong leadership and a customer-first mindset. Here are seven AI strategies from Gallagher’s insights that MSPs can put into practice.
1. Let Customer Challenges Drive AI Conversations
Gallagher believes AI discussions should begin with the customer’s business challenges, not the technology itself. Understanding what a customer is trying to accomplish makes it easier to determine where AI can provide meaningful value instead of becoming another tool looking for a purpose.
MSP Action: Start every AI conversation by identifying the customer’s biggest business challenge before discussing possible solutions.
2. Use AI to Eliminate Repetitive Work
One of Gallagher’s biggest takeaways is that AI should make technical teams more efficient. By reducing repetitive tasks and accelerating diagnostics, engineers have more time to focus on complex problems and customer relationships.
MSP Action: Identify repetitive operational tasks where AI can improve efficiency and free your team for higher-value work.
3. Help Customers Understand AI
Many businesses know AI is important but aren’t sure where to begin. Gallagher believes this creates an opportunity for MSPs to guide customers through AI adoption by helping them understand where it fits into their operations.
MSP Action: Position your MSP as a trusted resource for customers evaluating AI opportunities.
4. Keep Learning as AI Evolves
Gallagher described AI as one of the fastest-moving technologies he has experienced. Rather than fearing change, he encourages technology professionals to remain curious and continue learning as new capabilities emerge.
MSP Action: Make AI education an ongoing priority for your technical and leadership teams.
5. Build Teams That Can Adapt
Technology will continue changing, making adaptable teams increasingly valuable. Gallagher emphasized developing people, encouraging growth, and creating an environment where employees continue improving alongside new technology.
MSP Action: Invest in continuous learning so your team is prepared for the next wave of AI innovation.
6. Balance Technology with Leadership
While AI can improve efficiency, Gallagher stressed that leadership remains essential. Listening to employees, coaching team members, and building trust are responsibilities technology cannot replace.
MSP Action: Pair investments in AI with investments in leadership development throughout your organization.
7. Focus on Long-Term Value
Gallagher believes technology decisions should always support better outcomes for customers. AI isn’t valuable simply because it’s new—it becomes valuable when it helps businesses solve problems, improve operations, and work more effectively.
MSP Action: Measure AI initiatives by the value they deliver to customers rather than the technology itself.
What This Means for MSPs
Mike Gallagher’s perspective on AI is grounded in practical business value. Rather than viewing AI as a standalone solution, he encourages MSPs to use it as another tool for improving customer outcomes, increasing efficiency, and strengthening their teams. By approaching AI with purpose and remaining committed to continuous learning, MSPs can position themselves to better serve customers while preparing for the future of managed services.
Catch the full conversation on MSPi PrimeCast Episode #854 and connect with Mike at https://www.linkedin.com/in/mikegallagherceo/