Top 25 questions the world's largest C-Suite executives ask us re: AI transformation in the enterprise: 1. Are AI transformation firms more like McKinsey or Palantir? 2. We launched Copilot for everyone to use, but why hasn't it changed anyone's week? 3. We've done training, custom GPTs, enablement. What's next? 4. Where do we even start with AI? 5. How do we choose the first workflow to AI-enable? 6. Should AI be owned by IT or the business? 7. Do we really have to train all 10,000 people in the company? 8. How do we enable everyone to build agents, without ending up with agent sprawl? 9. Why are our token costs increasing? 10. How do we know if using AI is really cheaper than just hiring another person? 11. Which steps should remain human? 12. How do we communicate AI won't replace our team's jobs? (Will it?) 13. Will we own the agents you build for us? 14. What does maintenance look like in 6 months? 15. Will our data leave our environment? 16. What models should we be using? What do we do when they're deprecated? 17. Can we run these agents inside our ERP, or will people have to use a new tool? 18. Do we need to clean up our data first? 19. How long until we start seeing ROI? 20. When you talk about ROI, do you mean headcount? 21. How do we keep growing our business without increasing headcount? 22. Why did our last pilot project die in POC purgatory? 23. Our process documentation doesn't match what our team actually does – how do you know what to automate? 24. How do we keep up with how quickly AI is changing? 25. If AGI becomes a reality tomorrow, where should we point it? We solve these every day at Varick. Work with us below: