The biggest barrier to AI adoption isn’t technology, it’s the knowledge gap between what your people know about AI and what they need to know, and that gap looks radically different depending on where someone sits in your org chart.
In this session, we’ll dismantle the myth that AI readiness is a one-size-fits-all training problem. Instead, we’ll map the specific knowledge gaps at each organizational level, from C-suite executives who can’t evaluate AI ROI, to VPs who struggle to translate executive vision into feasible AI projects, to middle managers who need to redesign workflows without breaking them, to individual contributors who must learn to critically evaluate AI outputs rather than blindly trust them.
Through real-world examples. including a $2M chatbot that nobody needed and a lightweight governance framework for a 30-person startup, attendees will learn a practical approach to bridging these gaps. The session introduces the AI Knowledge Gap Matrix, a tool for mapping existing AI literacy across organizational tiers, and a right-sized GRC (Governance, Risk & Compliance) framework designed for startups and scaling organizations that need structure without bureaucracy.
Attendees will leave with a concrete 90-day action plan for assessing knowledge gaps, building role-specific training programs, and deploying lightweight AI governance- all designed to work whether you’re a 30-person startup or a 300-person growth-stage company.