Two things you can do this week before spending a penny on AI.

You’ve got Copilot licences. So why do a WorkMap?

Most people actually like their jobs. They just hate a few things about them.

Digital transformation does not work. There, I’ve said it.

Most automations don’t fail on day one. They fail about three weeks in.

How do you make a cup of tea? This matters more than you think.

Everyone’s ready for AI. Nobody knows how to cross the canyon.

There are three types of people in every business right now when it comes to AI.

The Wild West didn't stay wild forever. The ones who thrived weren't the fastest or the loudest.

Most businesses think their AI problem is a tools problem.

Every AI transformation I've seen fail has had one thing in common. It was top-down.

AI is no longer just a tool you ask questions to. Think of it as another member of your team.

What if instead of waiting 3 days for a report, you could just ask the question and get the answer?

That's not a data problem. That's an AI and automation problem waiting to be solved.

He had one laptop from work, and then his own one for AI

Before Dropbox was approved, over 50% of staff at some businesses were already using it.

If you're trying to figure out where AI fits in your business, this is where I'd start.

Most businesses find things they weren't expecting. That's usually where the real AI opportunity is.

Not with tools. Not with a licence. Start here.

Green. Amber. Red. The simplest way to know where to start with AI.

This is what a WorkMap actually is — and why we do it before anything else.

What leadership thinks happens and what actually happens are almost always different.

The people part. The bit most AI projects forget.

The people part. The bit most AI projects forget.

The difference between AI that sticks and AI that gets abandoned. It's not the tools.

This is what happens when you map a business properly before you start any AI work.

This is the conversation I keep having with business owners right now.

Different business. Same problem. Sound familiar?

This is the reason most AI projects fail. Not the technology. The starting point.

Getting Aligned

AI Strategy Problem

AI Agents Future

Copilot as Strategy

The Solution Strategy

The AI Paralysis Problem

AI May Be Doing Something New!

Every Revolution Sped Something Up

Business Strategy

Snake Oil Salesmen

IBA in Practice

What is Intelligent Business Automation

The Factory Line Example

What is Automation

AI's Abilities are its Eyes and Ears

AI is just a Brain in a Jar

Why Data Quality is the Achilles' Heel of Automation and AI

Why Leaders Must Step Back to Propel Forward

Data quality for AI and automation projects