Should your business pay for Microsoft Copilot… or switch to ChatGPT Business?

Most Microsoft business users don’t realise there’s a hidden version of Copilot already included in their licence. In this episode, AI consultant and author Inbal Rodnay breaks it all down: what Copilot can do, how it compares to ChatGPT, the real cost differences, and how to choose the right AI tool for your team.

If you’re a business owner, manager, or IT leader trying to decide between Microsoft Copilot vs ChatGPT, this is the clearest explanation you’ll find.

In this episode we cover:

• The difference between Microsoft Copilot, Copilot for Microsoft 365, and Copilot Chat

• What ChatGPT Business actually offers compared to ChatGPT Plus

• The pros and cons of each tool for small and mid-sized businesses

• A major Copilot feature 90% of Microsoft users don’t know about

• When it makes sense to pay for Copilot 365

• When ChatGPT Business might still be the better option

• Security, privacy and data-governance considerations

• The impact of GPT-5 inside Copilot and ChatGPT

• Why Copilot adoption has suddenly improved in 2025–2026

• A Power User’s personal workflow using Copilot, ChatGPT, Claude, Gemini, Perplexity Coment and Notion AI.

If your business already uses Microsoft 365, this episode could save you a lot of money.

Before you buy AI licences for your staff, watch this.

About My Guest – Inbal Rodnay

Inbal is an AI implementation specialist, keynote speaker and author of “AI Magic: Six Steps to AI Mastery in Your Firm.” She has won several awards including FinTech Leader of The Year 2025 and Most Innovative Women in Technology 2025, Silver Medalist.

Inbal advises professional services firms, SMEs and leadership teams on safe and effective AI adoption.

Connect with Inbal:

• https://www.inbal.com.au/

• https://www.linkedin.com/in/inbalrodnay/

Connect with Scott

• https://www.linkedin.com/in/davisonscott/

Chapters

00:00 Introduction

01:54 Microsoft Co-Pilot versus Chat GPT Business - which to choose?

02:39 Understanding ChatGPT Business

05:41 Understanding Microsoft Co-Pilot

06:09 The hidden secret most people don't know about Co-Pilot

08:25 Comparing Costs of Chat GPT and Co-Pilot

11:57 Use Cases for paid version of Microsoft Copilot

15:16 Mobile and Desktop Applications of Copilot

17:43 Integrating Co-Pilot with Microsoft Services

19:10 ChatGPT Business vs. Co-Pilot: Making the Right Choice

21:38 Why Microsoft Co-Pilot is now a no-brainer for 2026

22:59 The Competitive Landscape: Google vs. Microsoft vs. OpenAI

26:43 Navigating Multiple AI Tools: A Power User's Perspective

30:25 Choosing the Right AI Tool for Your Business Needs

34:12 Summary and last thoughts

Wikipedia is one of the top sources used by AI tools like ChatGPT and Google’s AI Overviews, and it still shapes what shows up when you search for a brand, a person, or a business online.

In this episode, I speak with Bill Beutler, founder of Beutler Ink and one of the world’s leading Wikipedia experts. Bill has been a volunteer editor since 2006 and runs the Notability Company, a PR firm built around Wikipedia’s strict sourcing standards.

Together, we unpack how Wikipedia actually works, how it influences AI models, and what business owners and individuals should know if they want to build a legitimate presence on the platform.

If you’ve ever wondered how Wikipedia pages get created, what “notability” really means, or why AI relies so heavily on Wikipedia… this is the episode for you.

What we cover

• How Wikipedia is edited, moderated and kept accurate

• Why Wikipedia still matters in the AI era

• How AI models use Wikipedia as a trusted training source

• What “notability” really means (and how to qualify)

• Mistakes businesses make when trying to edit or create pages

• Ethical ways to build a Wikipedia presence

• How to fix errors on your company page the right way

• Why media coverage, not marketing, determines eligibility

Chapters

00:00 Introduction to Wikipedia

02:14 The Mechanics of Wikipedia

04:17 AI's Impact on Wikipedia

06:24 Editing Wikipedia: The Human Element

08:54 Navigating Wikipedia's Guidelines

11:47 Notability and Eligibility for Wikipedia Pages

14:29 Building Media Coverage for Notability

17:15 Mistakes to Avoid on Wikipedia

19:49 Conclusion and Resources for Wikipedia Engagement

🔗 Resources Mentioned

• Beutler Ink: https://beutlerink.com

• The Notability Company: https://thenotability.co

• Wiki Resource Library (guides + how-tos): https://beutlerink.com/wiki-resources

• WikiProject AI Cleanup: (useful for understanding AI-generated edits)

Why This Matters

Wikipedia is still one of the most influential knowledge sources in the world.

Even as AI changes how we search, Wikipedia remains a foundational database of trusted information used by:

• Google

• ChatGPT

• Perplexity

• Gemini

• Bing

• And countless AI-powered search tools

For businesses and personal brands, understanding how Wikipedia works is becoming a crucial part of modern reputation management.

If you are curious about AI agents and how they actually work in a real business, this is the episode to watch.

In this conversation I speak with Gabriele Sanguigno, CEO of Toothfairy AI. They have been building AI agents for six years, well before ChatGPT made the idea mainstream, and they work with businesses of all sizes who want to automate real tasks with agentic AI.

In this interview we cover what an autonomous agent is, how it differs from a chatbot, why so many AI agent projects fail, and what smart businesses are doing differently. We also talk about the mindset shift leaders need to make, the hybrid workforce, the skills required to manage agents, and the emerging opportunities for small businesses who want to go AI first.

If you are a business owner, consultant, marketer or leader who is thinking about using AI to create leverage, reduce repetitive work and scale your team without increasing headcount, this episode will give you a clear and realistic starting point.

Watch this before you build any AI agents of your own.

What you will learn

• Why most AI agents fail and how to avoid the common traps
• The difference between chatbots and true autonomous agents
• How small businesses can gain a competitive advantage by being AI first
• How multi-step agentic workflows actually work
• How to build a hybrid workforce of humans and agents
• What skills do you need internally to set up and maintain AI agents
• Practical starting points for SMBs
• What an AI-driven business may look like in three to five years

Resources

• • https://toothfairyai.com/
  • 
    https://www.linkedin.com/in/gabriele-sanguigno/

  
  

  Chapters

  
  

  00:00 Introduction to Tooth Fairy AI and Gabrielle Sanguino

  01:40 Gabriele's Background and the Evolution of Tooth Fairy AI

  04:16 Understanding Autonomous Agents vs. Traditional AI

  07:33 Different options for implementing AI Agents and Workflows

  11:52 Customizable AI Agents and Their Applications

  13:41 The two most common uses of AI Agents amongst business users

  18:17 Emerging Trends: Agentic Tooling and Multi-Step Automation

  21:47 The Hybrid Workforce: AI in Small Businesses

  24:19 Mindset Shifts for Adopting AI Agents

  26:02 Cognitive Amplification and Realistic Expectations

  28:32 Understanding AI Implementation Costs

  30:42 The Role of Technical Expertise in AI Adoption

  34:28 The Future of Business with AI

  38:26 Productivity Gains and Employee Well-being

  
  

Learn how I built my first AI agent using ChatGPT and n8n. In this episode, I break down what AI agents are, how they work, and how you can start automating your business step by step.

If you’ve ever wondered how AI agents actually work, or how to build one yourself, this episode breaks it all down step by step.

I’ll walk you through how I built my first AI agent using n8n and ChatGPT, what I learned along the way, and how you can start using AI agents and automations inside your own business.

We’ll cover what AI agents are, how they differ from traditional automations, the tools available, and real examples of where small businesses can save time and money by automating repetitive tasks.

Whether you’re an entrepreneur, marketer, or business owner looking to work smarter, this episode will give you a clear, practical foundation to start experimenting with AI agents — no coding required.

What's included

• What AI agents and automations actually are
• The best tools for building your first agent (Zapier, Make.com, n8n, ChatGPT)
• A real demo of the AI agent I built for business-card management
• Lessons learned — what worked, what didn’t
• Design principles for building reliable AI workflows
• Where this technology is heading in 2025 and beyond

Chapters00:00 Introduction to AI Agents

00:48 The Landscape of AI Agent Builders and Automation Tools

03:27 Agent vs Automation – The Three Levels

04:50 The Anatomy of an AI Agent

06:33 Where Could Businesses Be Using AI Agents?

08:02 Building a Simple AI Agent with N8n – Here’s What I Learned

15:23 Overview of N8n Integrations, Templates and Workflows

17:06 Design Principles and Best Practices for Building AI Agents

18:17 Looking Ahead – Where Are Things Heading with AI Agents?

21:10 Summary – Where to Use AI Agents in Your Business

#AIAgents #n8N #Automations

Most businesses avoid documenting their Standard Operating Procedures (SOPs)… until it hurts. In this episode, I show a 10-minute AI workflow to turn a quick screen recording + commentary into a clear, agent-ready SOP. You’ll see what worked (NotebookLM) and what didn’t (my first ChatGPT upload), plus the exact prompt + guardrails I use so AI sticks to your source and doesn’t invent steps.

You’ll learn

• The fast record → transcribe → generate SOP method

• Why SOPs = strategic advantage for the 2026 AI agent wave

• My ChatGPT vs NotebookLM test (wins + fails and the workaround)

• How to write guardrails (“use only the video/transcript”) to stop AI adding steps

• Adding acceptance checks & flowcharts so someone (or an agent) can follow it

• Future-proofing: document intent + steps, and keep passwords out of SOPs
  

Chapters

00:00 The Importance of SOPs in Business

01:00 What is an SOP and why are they important?

02:41 What business processes require an SOP?

03:21 How to create an SOP document using AI'

05:44 Demonstration of my SOP for podcast publishing

15:46 Future-Proofing Your SOPs

16:48 Summary and outro

Here is the refined prompt I used

ROLE: You are an expert process documentation specialist.

CONTEXT: Attached is a screen recording/transcript of “[PROCESS NAME] at [COMPANY].

TASK: Create a clear, self-contained SOP that a new person can follow and an AI agent can learn from.

STYLE: Concise, action verbs, scannable bullets.

IMPORTANT: Use only the information contained in the video recording and/or transcript. Do not include any steps or information not explicitly in the video. Instead, Flag missing info as OPEN QUESTIONS.

BEFORE YOU TAKE ACTION: Do you have any questions?

If this helped, subscribe for weekly, practical AI for business owners. Share this with someone who keeps “meaning to” document processes.

Got a question or a win?

Drop it in the comments—I read them.

#SOP #AI

Want to get smarter every single day, without hours of study?

In this episode, I share 6 practical AI hacks that make learning effortless through micro-learning.

From identifying random things with your phone camera, to simplifying complex topics, to using AI as your personal tour guide or language tutor, these everyday tricks can help you rediscover your curiosity and learn faster, anywhere, anytime.

I’ll show you how I use ChatGPT and other AI tools to:

• Answer all the “why” questions (without judgment)

• Turn confusing concepts into simple diagrams and analogies

• Summarize entire books in minutes

• Learn languages on the go

• Get fun facts and history lessons in real time

It’s about making learning fun again—just 1% smarter every day.

If you’ve ever wished you had a teacher in your pocket, this episode is for you.

👉 Don’t forget to subscribe for more AI tips, tools, and real-world hacks.

👉 Share in the comments how YOU use AI to learn something new every day.

Chapters

00:00 Rediscovering Curiosity Through AI with Micro-learning

00:55 Micro Learning: Small Steps to Knowledge

01:40 Example 1: Identifying random things with the camera

02:58 Example 2: Simplifying and explaining complex concepts

05:32 Example 3: Book Summaries with AI

07:29 Example 4: Language tips when travelling

08:19 Example 5: A virtual tour guide for historical context

08:55 Fun Daily Facts

10:57 Summary of Micro-learning with AI

12:22 Embracing Curiosity and Lifelong Learning

Are AI tools ready to become your personal tutor? In this video, I put ChatGPT 5’s new Study Mode head-to-head with Google’s Notebook LM to see which one is the ultimate AI study companion.

Whether you’re a student cramming for an exam, a professional looking to upskill, or just a curious mind who loves learning, this comparison will show you exactly what each tool can (and can’t) do.

I’ll walk you through real-world use cases, from summarising textbooks and creating flashcards to testing knowledge, quizzing interactively, and even learning a new language with AI. By the end, you’ll know which tool is better for YOUR study style and why this could be the beginning of an AI revolution in education.

What You'll Learn:

• How ChatGPT Study and Learn Mode works (and where to find it)

• My experience using it to prepare for a certification exam

• How Notebook LM compares for summarising, flashcards, quizzes & study notes

• The verdict: which AI tool wins in different scenarios

• Surprising ways ChatGPT can act as your language tutor

• Why AI might change education forever
  

  
  

Chapters

00:00 Introduction to ChatGPT 5 and Study Mode

03:10 Use Case 1: Study for an exam with ChatGPT Study Mode

12:14 Use Case 2: Studying for an exam with Google Notebook LM

21:34 The verdict - which tool is better?

22:15 Use Case 3: Using ChatGPT Study Mode to learn a language

28:13 Other Use Cases for ChatGPT Study Mode

30:18 Conclusion - the AI Revolution for education is here

👉 Don’t forget to subscribe for weekly episodes of My Way or the AI Way, where I explore how AI can transform business, learning, and everyday life.

💬 Have you tried ChatGPT Study Mode or Notebook LM yet? Drop a comment below and let me know which one you prefer!

The AI Tsunami is upon us, so it’s time to grab a surfboard and learn to surf.

In this short, practical episode, I share the 7 mindset shifts I’m using as a business leader to move from overwhelm to action. If you’re a CEO, founder or senior exec wondering how to adopt a growth mindset for AI, without getting lost in tools, this is your playbook.

We cover why it’s not too late to start, the surf analogy, why AI is a team member, not just software, the co‑pilot ≠ autopilot rule, pointing AI at your highest‑value work, and how to disrupt yourself before someone else does.

If this helps, follow the channel and drop a comment below.

What you’ll learn

• How to reframe AI from fear → focus using the dichotomy of control

• Why late movers can still leapfrog by starting now (with a simple 10‑day practice)

• The “learn to surf” approach: rapid experiments over theory

• How to onboard AI like a smart junior (role, context, examples, success criteria)

• The co‑pilot principle: use AI to level up quality, not cut corners

• Targeting AI at strategy, decisions, synthesis (your highest‑value tasks)

• A simple question to disrupt yourself and future‑proof the business

Resources & quotes mentioned

• Serenity Prayer (attributed to Reinhold Niebuhr)

• Epictetus - “Some things are in our control and others not.”

• Phil Edwards - “The best surfer out there is the one having the most fun.”

• Gary Keller & Jay Papasan, The ONE Thing — focusing question

• Jeff Woods, The AI‑Driven Leader - “What do I need to do, and how can AI help?”

• Daniel Priestley (paraphrase): “Imagine the business that would put you out of business and build it.”

Chapters

00:00 The AI Tsunami: Embracing Change

00:30 Mindset Tools for Thriving in AI

01:03 Mindset 1 - Controlling What You Can Control

02:33 Mindset 2 - It's Not Too Late to Start

05:49 Mindset 3 - Learn to Surf

06:40 Mindset 4 - Think of AI as a 'team member' not a piece of software

08:24 Mindset 5 - Use AI to be better (not lazy)

09:50 Mindset 6 - Use AI for your highest value task

11:18 Mindset 7 - Be Your Own Disrupter

12:38 Summary and recap