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AI adoption is moving fast, but governance is struggling to keep up. In this episode, Chris sits down with Ignacio Lopez, founder of Work-Smart.AI and Fractional Head of AI, to discuss how MSPs can help clients move from AI experimentation to secure, scalable adoption.
Drawing on his experience in auditing, risk management, and enterprise technology, Ignacio explains why governance must come before tools. They explore AI policies, connector risks, access controls, model governance, data foundations, token economics, and the growing threat of shadow AI.
Ignacio shares a practical roadmap for MSPs to evolve from tool resellers to trusted AI advisors by leading assessments, enforcing guardrails, managing deployments, controlling costs, and building governance programs that withstand security, compliance, and business scrutiny.
If you're looking to help clients adopt AI safely and effectively, this episode offers a clear blueprint for turning AI from a shiny tool into a business capability.
