Here's what a few minutes of honest assessment showed one marketing team: Strong AI adoption in social and sales enablement. Zero in demand gen, analytics, and paid media. 19 pilot-ready opportunities worth exploring. They knew they were early in their AI journey. The data confirmed it and showed them exactly where to focus. 51 potential AI use cases across their marketing org. 15 actively used. 36 still awaiting action. We mapped their current state, then guided AI to analyze where they stood against the 4 mindset shifts I wrote about a few weeks ago (link in comments): ➡︎ Answer engine → Thought partner ➡︎ Faster → Better → Different ➡︎ Tool → Teammate → Systems ➡︎ Org charts → Work charts The analysis turned gut feelings into an initial roadmap. Not just "we need to do more AI" but ideas for where to expand, which current tools to leverage, and which gaps to close first. I used Claude to create an interactive dashboard that visualized the analysis (see video of the dashboard in action below). You can ask other AIs like ChatGPT and Gemini to do the same with your data. Here's the approach: ➡︎ List potential AI use cases across your GTM functions ➡︎ Mark what you're actually doing (be honest) ➡︎ Note which tools, which teams, what value ➡︎ Look for patterns like adoption clusters, tool overlap, missing areas ➡︎ Ask AI to analyze it against the 4 dimensions: "Where am I on each shift? What should I prioritize?" Wherever you are on this journey (crawling, walking, or running) clarity on where you're standing gives you a roadmap forward.