Are You Actually Ready for AI?

Most organizations that think they're ready for AI are not ready for AI.

That's not a knock - it's just true. And it's not about technology. It's about data, infrastructure, people, and process.

Your data: Is it current, accurate, and accessible? Or is it scattered across systems, inconsistently formatted, and owned by six different teams who don't talk to each other?

Your infrastructure: Can your systems support AI integrations without becoming a security nightmare?

Your people: Do you have the skills to build, manage, and govern AI - or are you assuming the vendor handles all of that? Are your employees ready to accept and use AI - or are they worried for their jobs?

Your processes: Are your workflows documented well enough that you could actually explain them to an AI system? Or are they all in people's heads?

If you answered honestly and felt a little uncomfortable, good. That discomfort is useful information. It tells you where to invest before you start deploying AI - not after you've already spent the budget.

Readiness isn't a fixed state. It's something you build. And the organizations that invest in it up front get dramatically better results than the ones who try to build it on the fly.

There's a full AI Readiness Assessment in the book's appendix - and you can work through it yourself at your speed and comfort level → https://www.amazon.com/AI-Enterprise-Lessons-Doing-Right/dp/B0H1WRNYRT

On a scale of 1-10, how ready do you think your organization actually is?

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