Explorez tous les épisodes du podcast Zero to AI

When your team pastes operational text into an AI tool, where does that information actually travel? Steve Wilson breaks down the real path of an enterprise prompt from browser to cloud enclave. Learn what commercial data protection means, how processing memory differs from model training, and the practical questions to satisfy privacy obligations under New Zealand and Australian regulations.

The moment AI can read across your organisation's files, the question is no longer what it can do. It is what it should be allowed to see. In this episode, Steve Wilson breaks down how AI search tools surface information, what questions to ask your IT team before rollout, and how permissions work under the hood.

Individual AI habits save time for one person, but shared team AI workflows make capability reliable across an entire group. In this episode, Steve Wilson breaks down how to move from private prompts to shared team workspaces in Microsoft Copilot and Claude Teams. Learn how to capture a successful workflow, store it where everyone can reach it, and establish simple review steps so the process survives staff changes.

Picking an AI tool for yourself comes down to personal habits. Choosing software for thirty colleagues involves data boundaries, user administration, and security checks. In this episode of Zero to AI, Steve Wilson compares Microsoft 365 Copilot, Claude Teams, and ChatGPT Enterprise. Discover how to evaluate document handling, admin controls, and data protection so you can make a defensible choice for your organisation.

Most organisations paying for Microsoft 365 Copilot could not tell you what it actually does well. We deliver an honest, practical read on the Microsoft Copilot landscape across Word, Excel, Teams, and Outlook. Learn where Copilot earns its licence fee, where standard tools work better, and how Microsoft Graph grounding controls what AI can see in your company data.

We open Season 3 of Zero to AI by explaining what embedding AI across a team actually involves. Discover how to move past private prompt shortcuts, master the core technical concepts needed to direct AI initiatives, and challenge vendor or IT claims with total confidence.

AI tools have moved beyond simple text responses to multi-step agents that execute actual work across software systems. Steve Wilson breaks down how to identify agent-ready tasks, set safety boundaries, and keep human judgement in control.

Moving from personal AI shortcuts to shared team tools turns individual productivity into visible organisational capability. In this episode, Steve Wilson outlines a practical framework for identifying high-volume team friction, choosing the simplest building method, and shipping a useful tool that colleagues actually rely on.

Experienced professionals can now build and deploy working software over a weekend. We break down the five architecture decisions and practical build steps required to turn an idea into a functional web application.

Non-developers are now building working tools with AI coding assistants. But should you use a terminal-based agent like Claude Code or a visual editor like Cursor? Steve breaks down the practical differences, when to use which, and how to pick the right tool for your next project.

Podbean episode description: Many professionals rush to automate tasks without checking if they add real value. In this episode, we break down the sensible reduction framework to help you audit your weekly workflow, remove institutional waste, and ensure your AI tools are focused on work that actually matters.

Moving from prompt writing to software creation is the defining shift for mid-career professionals. Steve Wilson explains how a non-developer developer builds real applications with AI coding tools, clear problem scoping and solid architectural choices

Many experienced professionals use generative AI in private to save hours, but keeping these workflows hidden limits your career visibility. In this episode, Steve Wilson breaks down how to design a compelling internal pitch for a small AI initiative. Learn a five-part framing framework that translates tool capability into clear business outcomes, and get specific scripts to address corporate concerns about privacy, accuracy, and licensing costs without triggering resistance.

Shift from chaotic manual prompts to structured tool configuration. This episode details how to build a locked, custom assistant (Claude Project or Custom GPT) that holds your company templates, context files, and operational boundaries permanently.

Transitioning from an isolated tool user to a recognised capability leader requires external workflow validation. This episode provides the four-stage framework—Identify, Scope, Deliver, and Capture—to safely clear a peer's administrative block and document real organisational value.

This week, you're turning those habits into a documented system. Not because you need to change what you're doing, but because you need to be able to explain it.

Here's what happens when you document your system:

• You clarify your own thinking. 
• You create something shareable. 
• You prove you're systematic. 

Last week, you built something impressive. Your signature AI-assisted project. Something portfolio-worthy that you can actually show people This week you're going to prove it's not a one-off. You're going to measure and document your AI-driven productivity gains

This week, you’re creating your signature AI-assisted project. Something portfolio-worthy. Something you can show people. Something that makes them say, “Wait, how did you do that so quickly?”

We're taking everything you learned in the first twelve weeks and we're turning it into proof. Evidence. Portfolio pieces. Testimonials. Results that other people can see.

This podcast focuses on looking back, noticing the shifts, capturing the insights, and building a simple, realistic ninety day plan that keeps your momentum alive.

This week, we are levelling up your assistant game. You are going to learn how to design AI personas, and then how to put them together into a collaborative AI panel that behaves like a small expert team.

You are going to start creating your own AI assistant.

Not some fluffy digital twin that lives in a slide deck. A simple, useful assistant that helps with real tasks in your life and work. So you can spend more time on strategy, creativity, family, or just not drowning in your inbox.

Today we are digging into the Zero to AI Toolkit. This is the collection of prompts, templates, and simple frameworks that can cut your learning curve in half. You do not need to become a prompt engineer. You just need a few reliable tools that help you think clearer and move faster.

Today we are digging into the Zero to AI Toolkit. This is the collection of prompts, templates, and simple frameworks that can cut your learning curve in half. You do not need to become a prompt engineer. You just need a few reliable tools that help you think clearer and move faster.

We talk a lot on this show about tools. But today, we are talking about what sits underneath the tools.

Today we are tackling the quiet crisis of the modern worker. Not "how do I prompt better," but questions like:

• How do I keep this personal when AI is doing the heavy lifting?
• Where do ethics actually live when I'm tired at 11 PM?
• And the big one: How do I keep my voice, my taste, and my creative control when the machine can generate ten versions in ten seconds?

Underneath all the shiny AI tools and clever prompts, there is one question that keeps coming up for people in mid career:

• How do I stabilise my income
• How do I reduce the quiet panic in my head
• How do I design systems that give me breathing room instead of burning me out

Today we’re building something you’ll use every day: a prompt generator that routes your requests to the right expert, keeps everything on-brand, and gives you tool-ready prompts without the trial-and-error.

Today is deliberately practical. First, the Six-Step Framework I use daily. Then three copy-and-paste playbooks you can ship this week (each with two build routes: visual n8n or Google Apps Script). I’ll point out where ChatGPT/OpenAI makes everything faster and more personal.

Today’s story comes straight out of my own consultancy, Changeable. It’s about something we quietly built that completely changed how we handle new enquiries. We call it the Changeable Contact Engine — and it’s basically our digital receptionist.

You’ll ship a simple pipeline that captures leads via Google Forms, stores them in Sheets, scores them with an AI prompt, and sends a helpful, on‑brand email automatically. Start tiny, keep it safe, and iterate weekly.

This is week two in our year journey of AI transformation and reinvention. Today, I want to talk about a video that absolutely changed how I think about work — and honestly, how I think about myself. It was a very important lesson, one where I learnt to use AI as my guide, my training partner and my enabler to deliver results. This includes a 14 day plan for you to do the same

This isn’t a dig at courses. I still think they’re important. But at some point, I realised: knowledge wasn’t the missing piece. Transfer was. 

I needed a way to move from knowing about AI to using AI — to build something that worked in my world. So I flipped my learning plan on its head. Instead of treating courses as the path, I started using them as fuel. I stopped optimising for certificates… and started optimising for outcomes.  And once I shipped my first small thing — and saw it work — I was hooked. 

It’s been six years since my dad passed away, and not a day goes by that I don’t think about him. He wasn’t just my father — he was my best friend, my quiet mentor, and the person who grounded me no matter how chaotic life got. I can still hear his voice when I’m overthinking something — that calm, steady tone that seemed to cut through every storm. Two lessons in particular have shaped how I live, lead, and build my businesses today. They’re simple, but I find myself returning to them constantly — in moments of doubt, decision, and even in success.

Today’s episode is about the pivot. Not just changing jobs, but reshaping a life. If you’re mid-career, juggling family, and wondering if you can actually do this … this one’s for you. This is the story of how one small question — and a few brave experiments — can completely change the way you see your work, your time, and your future. And I want to share this you.