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Before you automate anything, fix the system. In this tactical session hosted by EPOCH and led by Maceo Owens (The ERG Homegirl), we explore what’s actually blocking ERG progress — and it’s not just about AI or automation. Maceo breaks down how ERG Program Managers can build an operating system that boosts efficiency, prevents burnout, and enables real consistency at scale. This is for anyone overseeing ERG infrastructure, operations, or enablement—especially those tempted to “throw AI at the problem.” You’ll walk away with: • The 3Ps framework for ERG stability: Purpose, Process, Programming • What most teams get wrong about goal-setting and inputs • How to define your ERG’s MVQ (Minimum Viable Quarter) • What makes an ERG program “operationally excellent” • The difference between automation, AI, and smart AI agents • Why consistency comes from systems, not volunteers • How to prepare your documentation for automation and AI integration • The only ERG AI tool that actually works (and why) This session is a reality check and a roadmap — so if your ERG goals include smarter execution, less chaos, and more sustainability, start here. Why Your ERG Can’t Scale Without an Operating System Automation ≠ Strategy: Fix This First in Your ERG Program ERG Consistency Comes from Systems, Not Volunteers AI for ERGs: A Step-by-Step Reality Check The Real Reason ERG Programs Burn Out (and How to Fix It) How to Build an ERG Operating System That Actually Works ERG Goal Setting Is Broken — Here’s What to Do Instead Smart AI vs. Bad Automation: What ERG Leaders Need to Know Before You Try AI, Build This ERG Infrastructure First Running Your ERG Program Like a Business: The 3Ps Approach