Mitigating AI risk doesn’t mean slowing your clients down. Done right, it’s how they get the productivity gains they were chasing in the first place without introducing new exposure.
Up to this point, we’ve focused on risk: Shadow AI, incorrect expectations, and the very real external threats powered by AI. Now it’s time to focus on action.
You can catch up here if you missed Part 1 or Part 2.
One common reaction we’ve seen is companies trying to block all AI use. And honestly, it’s easy to see why. There’s fear around data exposure, limited visibility into what employees are actually using, and real pressure on leadership to act quickly when new risks emerge. That’s understandable, but it’s not realistic. There are too many tools. New ones appear daily. And even if you could block them all, what’s stopping an employee from using AI on their phone? Even worse, AI is already embedded into CRMs, productivity tools, and business platforms. Blocking standalone tools only solves part of the problem. It also doesn’t address incorrect expectations or external AI-driven threats.
So where do you start? This is the question your clients are already asking, and it’s where MSPs have an opportunity to guide them toward a responsible path forward instead of a reactive one. Education is the foundation, but not traditional security awareness alone.
Training on AI risk is still critically important, including:
- Shadow AI awareness. Helping employees understand why putting sensitive data into free or unapproved AI tools is dangerous.
- External AI threats. Educating employees on how cyber criminals are using AI to improve phishing, impersonation, and other social engineering attacks.
But our partners are finding the most effective approach is pairing this education with secure AI adoption.
Employees won’t stop using Shadow AI unless they’re given a secure alternative that provides the same value. Enterprise AI solutions with proper data protections exist (Copilot, ChatGPT Enterprise, Gemini, Hatz AI, and others offer licensing models designed to protect company data) but implementing a tool alone isn’t enough for effective adoption.
What Effective AI Training Actually Looks Like
Employees need training on how to use AI effectively. In practice, that basic AI adoption training should look like:
- How to prompt effectively. Employees need to understand how to ask better questions, provide the right context, and guide AI toward useful outcomes instead of vague or misleading answers.
- How and when to validate outputs. AI can sound confident even when it’s wrong. Training should reinforce when human review is required, how to sanity-check results, and what types of work should never be accepted at face value.
- Ongoing training on new use cases. AI capabilities and use cases are changing quickly. Ongoing training helps employees stay current on new, relevant ways to apply AI to their roles, reinforces safe usage patterns, and prevents people from falling back into Shadow AI when their needs evolve.
This is what prevents someone like Jim from blindly trusting an answer he didn’t verify, and it also helps the employee who got one bad result from writing AI off entirely understand how to use it correctly and confidently. This approach delivers three clear wins: reduced Shadow AI, reduced exposure to external AI-driven threats, and increased productivity across the business. Secure AI adoption and awareness directly mitigates Shadow AI by giving employees a safe, approved way to get the same productivity benefits they were chasing with free tools, reducing the need to work around policy. It also helps mitigate external risk. When employees understand AI firsthand, they’re better equipped to recognize AI-powered scams. By facilitating secure AI adoption, you help clients mitigate AI risk without slowing the business down. You also reinforce your role as the trusted advisor, guiding clients through AI adoption instead of reacting to the latest threat.
If you’ve been nodding along through this series, this is where it all turns into action.
Ready to Lead With AI Risk?
If you want to start leading with AI risk and facilitating secure AI adoption, our AI go-to-market team can help. We’ve built a complete success path designed specifically for MSPs, including training to help your team understand AI risk and opportunity, along with practical resources and hands-on bootcamps to help you confidently build, sell, and deliver AI services. And you won’t be doing it alone. Our team supports you every step of the way.
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