@vasuman: Top 25 questions the world's largest C-Suite executives ask us re: AI transformation in the enterprise: 1. Are AI trans…
Summary
A practitioner shares the top 25 questions large-enterprise C-suite executives ask about AI transformation — from workflow selection and agent sprawl to ROI, data governance, and headcount implications — as a lead-gen post for their firm Varick.
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Cached at: 10/03/26, 02:48 AM
Top 25 questions the world’s largest C-Suite executives ask us re: AI transformation in the enterprise:
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Are AI transformation firms more like McKinsey or Palantir?
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We launched Copilot for everyone to use, but why hasn’t it changed anyone’s week?
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We’ve done training, custom GPTs, enablement. What’s next?
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Where do we even start with AI?
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How do we choose the first workflow to AI-enable?
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Should AI be owned by IT or the business?
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Do we really have to train all 10,000 people in the company?
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How do we enable everyone to build agents, without ending up with agent sprawl?
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Why are our token costs increasing?
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How do we know if using AI is really cheaper than just hiring another person?
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Which steps should remain human?
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How do we communicate AI won’t replace our team’s jobs? (Will it?)
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Will we own the agents you build for us?
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What does maintenance look like in 6 months?
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Will our data leave our environment?
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What models should we be using? What do we do when they’re deprecated?
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Can we run these agents inside our ERP, or will people have to use a new tool?
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Do we need to clean up our data first?
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How long until we start seeing ROI?
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When you talk about ROI, do you mean headcount?
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How do we keep growing our business without increasing headcount?
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Why did our last pilot project die in POC purgatory?
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Our process documentation doesn’t match what our team actually does – how do you know what to automate?
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How do we keep up with how quickly AI is changing?
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If AGI becomes a reality tomorrow, where should we point it?
We solve these every day at Varick. Work with us below:
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