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How to Manage Shadow AI in Your Business
Risks, Opportunities, and Next Steps
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How to Manage Shadow AI in Your Business: Risks, Opportunities, and Next Steps
What is Covered:
How to Manage Shadow AI in Your Business: Risks, Opportunities, and Next Steps
In this IT Voice LinkedIn Live, How to Manage Shadow AI in Your Business, our team examined how unauthorized or unmanaged AI use is already affecting businesses, where the biggest risks are emerging, and how leaders can respond with a practical AI governance strategy. The discussion covered the growing shadow AI visibility gap, the business and security risks tied to employee use of personal or unsanctioned AI tools, and the opportunity companies have to turn informal AI experimentation into a secure, competitive advantage. Attendees also received a clear framework for AI adoption in business built around visibility, policy, employee communication, and guided implementation.
Key Takeaways:
- Shadow AI is already a leadership issue. Employees are using AI tools outside approved systems, which creates a visibility and governance gap executives cannot afford to ignore.
- The first risk is lack of visibility. If leadership does not know what tools are being used, it cannot effectively manage security, compliance, or data exposure.
- Sensitive business data is at greater risk than many leaders realize. Personal and free AI platforms can create exposure for customer information, pricing, internal documents, and other confidential data.
- AI increases the impact of existing weaknesses. It does not create risk on its own, but it can quickly amplify poor access controls, weak processes, and outdated data governance.
- Employee AI use is also a market signal. It shows demand for faster, more efficient ways of working, which can become a productivity and competitive advantage if properly managed.
- The strongest executive response is structured adoption, not blanket restriction. A practical approach starts with visibility, clear guardrails, employee alignment, and a guided rollout.
- AI adoption should be phased. A crawl-walk-run model gives businesses a way to move deliberately, reduce risk, and build capability over time.
- The strategic goal is control without losing momentum. The businesses that benefit most from AI will be the ones that pair governance with intentional adoption.
Meet Your Hosts:
Will Slappey | CEO, IT Voice
Will Slappey is the CEO of IT Voice, a nationally recognized MSP he has led through 8X growth since 2019. With more than 35 years of experience at IT Voice and deep roots in the Birmingham business community, Will is known for his customer-first approach and his ability to translate complex technology decisions into clear business outcomes.
Joshua Jones | Director of Integrations, IT Voice
Joshua Jones is the Director of Integrations at IT Voice, where he leads operational alignment across 16+ acquired companies. With nearly a decade in managed services leadership, Josh is known for translating complex risk into clear, actionable strategy - making him a trusted voice on AI governance and business operations.
Michael Hoffman | AI Solutions Expert, Hatz AI
Michael Hoffman is an AI Solutions Expert at Hatz AI, where he partners with businesses to navigate AI risk, adoption, and opportunity. With a background rooted in cybersecurity and managed services, Michael brings a practitioner’s perspective to the conversation around building safe, strategic AI programs.