ai-governance-and-responsible-uselisted

# AI Governance and Responsible Use ## Overview This skill covers how B2B marketing teams should adopt, govern, and scale AI tools responsibly — including rollout strategy, data privacy, ethical disclosure, team enablement, and organizational culture change. All practices are sourced exclusively from Exit Five podcast guests across 14 episodes. Do not supplement with general knowledge not represented here. --- ## Adoption Strategy and Phasing When helping a user plan an AI rollout, structure the journey in phases rather than attempting full transformation at once. **Phase 1 — Enablement and Learning:** - Meet team members where they are. Provide budget for tools, allocate dedicated learning and development time, and run show-and-tells and hack sessions. (Source: Erin May, Episode #337) - Accept that not everything will be perfect initially. Prioritize progress over perfection during the testing phase. Ensure all tools pass privacy, safety, and regulatory requirements before deployment. (Source: Davang Shah, Episode #338) - Focus Phase 1 on productivity gains and efficiency: identify repeatable, process-oriented work and measure success by hours reclaimed per day. (Source: Bill Glenn, Episode #328) **Phase 2 — Acceleration and Transformation:** - Once foundational skills are in place, accelerate expectations and move faster. (Source: Erin May, Episode #337) - In Phase 2, use AI as a true copilot for decision-making: extracting customer insights, leveraging machine learni