The AI System One IDD CEO Is Already Using w/ G.N. Janes - Ep. 86

Most conversations about AI in human services stop at "it's coming." This one is about what's already here. G.N. Janes, CEO of Valley Community Services, has spent a decade building a data-driven retention system for frontline supervisors and DSPs. We go deep on what happens when artificial intelligence enters that system — how agentic AI works, what it actually looks like when a model flags a struggling supervisor, and critically, what a human does next. G.N. also gets honest about what he'd do differently: starting with data governance, eliminating data silos, and making sure the right people have access to the right information before you build anything else. And he closes with something worth writing down — the difference between managing by vibes and managing by data, and why the IDD sector can't afford to keep doing the former. Whether you're AI-curious or AI-skeptical, this episode will change how you think about what's possible at the frontline supervisor level. 🔗 Learn more about Valley Community Services: valleycommunityservices.org 📥 Free resource — 7 Warning Signs Your Supervisors Are Burning Out Their Staff: iddleader.com/burnout TIMESTAMPS 00:00 – When the machine says you're going to struggle 01:17 – What Part 2 is about (and why you can start here) 02:45 – How AI is plugging into the existing dashboard 04:33 – Agentic AI vs. ChatGPT: what's the difference? 08:35 – What actually happens when the AI flags a supervisor 11:22 – Could other IDD orgs access this system someday? 12:47 – Why the IDD sector is still collaborative (and what could end that) 15:02 – The honest first conversation: start with data governance 17:13 – The data siloing problem nobody talks about 19:37 – Billboard question: "But did it help a DSP?" 22:18 – What G.N. would tell his younger self

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