• Own and evangelize the "ai enablement map" across the company, where are we using AI, low to high, etc. • **Embed with teams to find and fix inefficiency**: Rotate through functions (Product, Design, Marketing, Support, and beyond) in 1-2 week engagements. Audit workflows, map repetitive tasks, identify the highest-leverage automation opportunities, build the solution, train the team, and document the results. • **Build agents and automations**: Develop task-specific AI agents and workflows (e.g., copywriting agents in Linear, research synthesis tools, automated status updates, monitoring bots) using whatever ships fastest: n8n, Claude, MCP integrations, Notion automations, or custom tooling. • **Create reusable enablement materials**: Build prompts, recipes, and templates that teams can self-serve from after your engagement ends. Make the work stick. • **Evaluate and govern AI tools**: Support AI tool POCs (Cursor, Replit, V0, and whatever comes next), maintain documentation on approved tools and best practices, and feed learnings back into company-wide AI fluency programming. • **Measure and communicate impact**: Track what worked, what didn't, and quantify time/effort saved. Present results to leadership and use them to prioritize future engagements.