The AI Playbook
AI is leverage when it scales your best thinking, and a liability when it replaces it. This page has what I promised from the stage: the slide deck, the 90-day worksheet to get your first win, and straight answers to the questions that actually decide whether this works.
The goal is simple. Move from experimenting with AI to systematizing it, so your best thinking scales across the business starting this week.
Are you ready for AI?
The resources, free.
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Keynote slides
Every slide from the talk, to recap or share with your team.
Download the slide deck → -
90-day roadmap
A worksheet to pick one workflow, systematize it, and measure results in 90 days.
Download the roadmap → -
Weekly newsletter
Real lessons on AI adoption, creative systems, and brand alignment.
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The questions worth asking first.
- What does this actually cost, and how do I measure return?
- Most tools run $20 to $50 per user per month, so a 20-person team lands around $600 to $1,000 a month. Measure it against time returned: five hours a week saved per person, valued at $75 an hour, is roughly $390,000 a year against about $12,000 in cost. Most businesses see payback in four to eight weeks. Start with one workflow you can actually measure.
- If we feed our data into these systems, who owns it, and what is our liability?
- On enterprise tiers like ChatGPT Enterprise and Claude for Work, your data is not used for training, and you get SOC 2, encryption, and BAAs where you need them. Keep business data out of free consumer tools, and never enter anything you would not put in an email. Regulated industries should run a compliance review and consider private deployment. Treat it like any vendor you hand data to.
- Who actually does this? Do I need to hire AI specialists?
- You do not hire AI specialists. You need a process owner with the authority to change how work gets done, IT in a support role for security and access, and a couple of hours of hands-on training. You train for this. A consultant helps you stand up the first workflow, then your team carries it.
- Which tools should we be using?
- Pick one and master it. ChatGPT is the most versatile, Claude is strongest on long documents and professional work, and Copilot fits a Microsoft 365 shop. Add transcription (Otter, Fireflies, Fathom) and automation (Zapier, Make) later. A mediocre tool used systematically beats a great tool used randomly.
- What if it gives us wrong information and we act on it?
- Build review into the process. AI drafts, researches, and analyzes. A person verifies and decides, with a second set of eyes and a sign-off on anything high-stakes. The real exposure is not the tool. It is using it without a process around it.
- What if our competitors are already ahead?
- Most are not as far ahead as you fear. Most businesses have used AI somewhere, but only about a quarter use it systematically. The real question is how fast you move from random to systematic. The teams that move decisively in the next six to twelve months build an advantage that gets hard to catch.
- This sounds great, but where do we even begin?
- Pick one workflow that is frequent, painful, and measurable. Map it, add AI, train a few people, run it for thirty days, then adjust and scale. You need one win that proves the model and builds momentum. Either way, start this week.
Ready to make an impact?
Tell us where AI sits in your plans. We read every message and you hear back either way. The first conversation is an hour of straight talk over Zoom. No deck, no pitch.
