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