An Entrepreneurial Approach to AI and the IT-Supported Sandbox

In this episode of Reboot IT, host Dave Coriale, president of DelCor, sits down with Joe Carr, Vice President of Information Technology at the American Academy of Ophthalmology, who shares how “light governance” can encourage experimentation while still protecting member data and intellectual property. They also discuss IT’s evolving role as an enabler rather than a gatekeeper, the importance of data hygiene and content management, and why fostering an entrepreneurial mindset matters more than chasing the perfect AI policy. The conversation offers guidance for IT leaders and non-technical staff alike on how to safely and usefully integrate AI into daily work.Themes and Topics:Light AI Governance vs. OverengineeringKeeping AI governance policies short (3–5 pages) and written in plain language.Establishing “rules of the road” instead of rigid, draconian controls.Allowing experimentation while increasing oversight for sensitive data use.IT’s Evolving Role: From Gatekeeper to EnablerIT provides secure platforms, guardrails, and integration—not every AI solution.Encouraging staff to explore AI independently within safe environments.“Making the sandbox” so staff can build their own solutions.Multiple AI Tools, One StrategySupporting several leading platforms (Copilot, Claude, OpenAI, Gemini) based on use cases.Focusing on how tools are used, not controlling which tool is used.Ensuring security, legal review, and IP protection across platforms.Data Hygiene and Content Management as AI FoundationsRecognizing that outdated or unmanaged content can undermine AI results.Shifting from document retention to true knowledge management.Designing content and websites so AI can surface accurate, relevant information.Encouraging AI Curiosity Through CultureUsing non-IT staff to demonstrate real-world AI use cases.Hosting lunch-and-learns, showcases, and Teams channels for sharing ideas.Executive support as a key driver of experimentation and adoption.Entrepreneurial Thinking and Mission AlignmentEmbracing experimentation and being willing to fail safely.Using AI to rethink workflows, not just automate existing tasks.Tying AI initiatives back to organizational mission and business goals.