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AI in Operations: A Practical Guide for Getting Started

A no-nonsense guide for operations leaders who want to cut through the AI hype and start using these tools for real work, based on actual experience rather than theory.
AI in Operations: A Practical Guide for Getting Started
Photo by Clayton Robbins / Unsplash

Most AI advice isn't built for operations.

If you're an ops leader, you've probably noticed that AI content falls into two camps: either it's so technical you'd need a computer science background to understand it, or it's so generic it could apply to anything. What's missing is practical guidance from someone who's actually implemented AI in real operational work.

This guide is different - it's built from real experience implementing AI in operational roles. Not theory, not case studies from Fortune 500 companies, but honest insights from someone who's tried this stuff, made mistakes, and figured out what actually works in day-to-day operations.

I've been experimenting with AI tools in operations for the past couple of years - well before ChatGPT made headlines. I've seen the potential, but I've also seen how easy it is to waste time and money if you don't know where to start.

If you're ready to stop overthinking and start actually using AI for meaningful work, this is for you.

Here's what I cover:

  • What actually works (and what doesn't) in operational AI
  • First steps to take over your first three weeks
  • Ongoing habits to build a sustainable AI system in your team

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