AI Business Flywheel

Duncan Isaksen-Loxton & Joe Bonington

Your expertise is your greatest business asset. If it only exists in your head, it can't scale. AI Business Flywheel podcast shows founders how to capture, organise and operationalise their expertise using AI, creating systems that improve consistency, save time and build long-term business value. Your podcast hosts are Joe Bonington AI Architect, Educator and Creator of aibusinessflywheel.com and Duncan Isaksen-Loxton owner of sixfive.io Fractional CTO for small business owners.

  1. 9h ago

    Is AI Making Your Business Look Fake? How to Use AI Without Losing Customer Trust

    AI can help your business move faster, but it can also make your brand feel less human and less trustworthy when it is used the wrong way. In this episode of the AI Business Flywheel Podcast, Duncan and Joe discuss the growing fake human problem—from AI-generated reviews and testimonials to AI influencers, avatars, comments, videos, and overly automated content. They explain why small businesses should not stop using AI, but instead learn how to use it as a supporting tool without replacing human judgment, authenticity, and trust. The conversation also covers fake reviews, AI-generated content, transparency, brand reputation, customer consent, and why every business needs to keep a human in the loop before publishing AI-assisted work. You’ll also learn the Realness Check, a practical framework for reviewing AI-generated content based on source, consent, disclosure, specificity, human review, and trust. Pasted text The goal is not to stop using AI. It is to use AI to amplify your expertise without counterfeiting the human side of your business. Timestamps00:00 Introduction to the AI Business Flywheel Podcast 01:20 The Fake Human Problem 02:05 Why AI Can Make Your Brand Feel Less Trustworthy 08:05 Fake Reviews, Testimonials & the FTC Rule 17:05 The Flood of AI-Generated Content 19:25 AI Content and Reputation Risk 20:30 Ethical Use of AI Avatars 23:10 How Duncan and Joe Use AI in the Podcast 28:40 Why Small Businesses Still Need Human Judgment 31:40 Using AI to Help Create Testimonials 35:55 Why You Need a Human in the Loop 36:00 The Realness Check Framework 36:50 Check the Source and Customer Consent 38:00 Disclosure and Specificity in AI Content 41:10 Review Your AI Content Before Publishing 43:25 Why Small Businesses Should Still Use AI 47:00 Final Takeaways & Outro Subscribe for practical conversations about using AI as a force multiplier for small businesses. Watch More EpisodesYouTube: https://www.youtube.com/@AIBusinessFlywheel Spotify: https://open.spotify.com/show/033YpGz5XxhMLPLTx5H1pw Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-business-flywheel/id6791598888

  2. Oct 8

    AI Hiring for Small Business: How to Spot Real Skills in the Age of AI

    AI is changing the hiring process. Resumes are cleaner, cover letters are more polished, and interview answers are stronger—but how can small business owners know if a candidate can actually do the work? In this episode of the AI Business Flywheel Podcast, Duncan and Joe explain how AI is making traditional hiring signals less reliable and why businesses need a better way to verify skills, experience, judgment, and fit. You’ll learn why a polished resume should be treated as a starting point rather than proof, and how practical assessments, structured interviews, reference checks, and clear AI policies can help you make better hiring decisions. We also cover: • How AI is changing resumes, cover letters, and job applications • Why traditional hiring signals are becoming less reliable • How practical work samples can reveal real skills • How to evaluate a candidate’s judgment when they use AI • The importance of identity and reference checks • A practical AI-era hiring filter for small businesses Using AI during a job application does not automatically make a candidate dishonest. In fact, some of the strongest candidates may know how to use AI extremely well. The real question is whether they understand the work, can think critically, challenge AI-generated answers, and make good decisions. For small businesses, hiring is no longer just about finding an impressive resume. It is about building a process that can separate polish from proof and identify people who can genuinely deliver results. Chapters00:00 Introduction 00:58 - 04:29 Why AI Is Making Hiring Harder 04:30 - 10:30 How AI Is Being Used in Recruitment 10:31 - 14:19 The Rise of Fake and AI-Generated Candidate Profiles 17:49 - 20:03 The Growing Candidate Identity Problem 30:00 - 34:59 Building a Better Interview Process 35:00 - 41:42 Should Candidates Be Allowed to Use AI? 41:43 - 44:04 AI-Era Hiring Filter: Start With Role Clarity 44:05 - 46:05 Proof Over Polish: Verify Candidate Claims 48:45 - 52:19 Identity and Reference Checks 52:20 - 55:31 Protect Your Business With Access Controls 55:32 - 57:29 How Small Businesses Should Hire in the AI Era 57:30 - 58:30 Final Takeaways & Outro ResourcesLearn more about SixFive: https://sixfive.io Take the free AI Business Flywheel diagnostic: https://aibusinessflywheel.com Subscribe for practical conversations about using technology and AI to help global small businesses work more efficiently, make better decisions, and grow without adding more hours to the week. Watch More EpisodesYouTube: https://www.youtube.com/@AIBusinessFlywheel Spotify: https://open.spotify.com/show/033YpGz5XxhMLPLTx5H1pw Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-business-flywheel/id6791598888

  3. Sep 24

    Will AI Kill Humanity? AI Risks, Ethics, and What Business Owners Need to Know

    AI is becoming more powerful, but the biggest risk for small businesses may not be what AI could do someday. It may be how businesses are using it right now. In this episode of the AI Business Flywheel Podcast, Duncan and Joe discuss AI safety, ethics, privacy, governance, and the responsibility business owners have when introducing AI into their operations. They explore concerns raised by leading AI researchers, the risks of giving AI access to sensitive business data, AI hallucinations, employee use of unsanctioned tools, human oversight, and why businesses need clear rules around how AI is used. The goal is not to avoid AI. It is to use it responsibly, safely, and with the right level of human control. Timestamps 00:00 Introduction to the AI Business Flywheel Podcast 01:18 Will AI Kill Humanity? 03:42 Why AI Ethics Matter for Small Businesses 06:25 Comparing AI Risk to Nuclear Weapons 09:48 When AI Takes Actions You Did Not Ask For 13:10 What AI Leaders Say About Existential Risk 17:05 The Race to Build More Powerful AI 20:42 Why Businesses Should Not Ignore AI 23:36 What Small Business Owners Can Actually Control 26:21 Protecting Customer and Business Data 29:44 The Risks of Employee AI Use 33:18 Connecting AI to Email, CRM, Files, and Calendars 37:06 Why Human Oversight Is Essential 40:32 AI Hallucinations and Checking Your Sources 43:51 Using NotebookLM for Trusted Research 47:09 Assigning AI Responsibility Across Your Team 50:43 Building Clear AI Rules and Guardrails 53:25 Practical AI Ethics Questions for Business Owners 56:38 Should Customers Know When AI Is Being Used? 59:12 Responsible AI Adoption for Small Business Subscribe for practical conversations about using AI as a force multiplier for small businesses. Watch More EpisodesYouTube: https://www.youtube.com/@AIBusinessFlywheel Spotify: https://open.spotify.com/show/033YpGz5XxhMLPLTx5H1pw Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-business-flywheel/id6791598888

  4. Sep 17

    AI Chatbots for Small Business: How to Improve Customer Support Without Losing Trust

    AI chatbots can improve customer service, save time, and help small businesses respond faster—but a bad chatbot can quickly damage trust. In this episode of the AI Business Flywheel Podcast, Duncan and Joe discuss how businesses can build AI chatbots that actually support customers instead of creating more frustration. They cover AI knowledge bases, brand voice, chatbot guardrails, human escalation, customer feedback, omnichannel support, and continuous improvement so your AI can deliver a better customer experience. The goal is not to replace people. It is to use AI where it works best while knowing when a human needs to step in. Timestamps 00:00 Introduction to the AI Business Flywheel Podcast 01:20 Why AI Chatbots Are Your Digital Front Door 03:00 When AI Customer Support Goes Wrong 06:15 How Bad Chatbots Damage Customer Trust 09:10 Why AI Needs Accurate Business Knowledge 12:25 Training AI on Your Brand Voice 16:10 Creating the Right Chatbot Personality 19:25 AI Support vs Human Customer Service 23:00 Why Chatbots Need Continuous Improvement 25:35 Capturing Knowledge From the Founder 29:15 Building an AI Knowledge Base 32:10 Setting Chatbot Guardrails and Boundaries 35:25 Can AI Chatbots Make Sales? 38:25 Learning From Customer Conversations 41:05 Using Sentiment and Feedback to Improve AI 43:45 Website Chat, Instagram, Facebook and WhatsApp 47:20 Why You Need to Keep Testing Your AI Systems 49:35 The 10-Question Customer Service Audit 52:00 What You Need Before Launching a Chatbot 54:30 When AI Should Escalate to a Human 56:20 Why AI Transparency Matters 58:00 Final Takeaway: Bad AI Feels Like Bad Service Subscribe for practical conversations about using AI as a force multiplier for small businesses. Watch More EpisodesYouTube: https://www.youtube.com/@AIBusinessFlywheel Spotify: https://open.spotify.com/show/033YpGz5XxhMLPLTx5H1pw Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-business-flywheel/id6791598888

  5. Sep 10

    AI Can Do the Work, But Who Is Responsible When It Goes Wrong?

    AI can draft emails, reply to customers, recommend products, and run entire workflows. But when something goes wrong, who is actually responsible? In this episode of the AI Business Flywheel Podcast, Duncan and Joe discuss why AI can support the work but can never own the final outcome. As AI tools become more human-sounding and increasingly capable of acting independently, small business owners need to understand where automation should end and human responsibility should begin. They explore the risks of giving AI too much access, allowing it to make decisions without approval, and treating it like an employee rather than a tool. They also discuss data security, AI agents in finance, vendor lock-in, human oversight, and how to build practical AI systems without losing control of your business. The conversation also covers: Why people naturally treat AI like a real personThe danger of giving AI too much controlWhy customer-facing content should always be reviewedHow AI agents could affect banking and financial marketsThe importance of protecting customer and business dataWhy businesses should control where their information livesHow to avoid becoming locked into one AI platformHow to use AI for email, CRM, research, and routine tasksHow to decide what AI can and cannot doWhy every AI workflow needs a clear ownerHow to prepare for mistakes before they happenWhy AI should strengthen your business—not run it uncheckedAI can save time and help your business move faster. But the more control you give it, the more important it becomes to set clear limits, review its work, and remain responsible for the final result. Timestamps00:00 Introduction to the AI Business Flywheel Podcast 01:08 Why AI Feels Like a Real Person 03:35 Giving AI a Name and Personality 07:50 What AI Should Never Be Allowed to Decide 10:12 AI Does Not Have Ethics—It Has Rules 12:28 What Happens When AI Acts Without Approval 21:42 AI Agents in Banking and Financial Markets 25:36 How Small Businesses Can Use AI Responsibly 28:10 Using AI to Organize Emails and Routine Work 33:18 Protecting Your IP and Controlling Data Access 36:22 Why Your Systems Should Be Independent of One AI Tool 39:05 Avoiding AI Vendor Lock-In and Shiny-Tool Syndrome 41:48 Where Human Approval Belongs in an AI Workflow 44:02 What Should Always Be Reviewed by a Person 46:16 Why AI Should Never Write Your Legal Documents Alone 48:05 Protecting Customer Trust and Your Business Reputation 50:10 Questions to Ask Before Automating a Process 52:18 Final Takeaway: AI Can Work, But It Cannot Be Responsible Subscribe for practical conversations about using AI as a force multiplier for small businesses—without giving up control of your decisions, data, or customer relationships. Watch More EpisodesWatch more episodes of the AI Business Flywheel Podcast and discover practical ways to use technology and AI in your small business: YouTube: https://www.youtube.com/@AIBusinessFlywheel Spotify: https://open.spotify.com/show/033YpGz5XxhMLPLTx5H1pw Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-business-flywheel/id6791598888

  6. Sep 3

    Using AI but Seeing No Results? How to Build AI Systems That Actually Work

    Using AI is not the same as creating real business impact. In this episode of the AI Business Flywheel Podcast, Duncan and Joe explain why many small businesses are experimenting with AI but still dealing with slow workflows, inconsistent follow-ups, scattered information, and owner bottlenecks. They discuss how to move beyond basic prompting and build AI workflows, business knowledge systems, automations, and repeatable processes that improve efficiency, decision-making, customer experience, and growth. The goal is not AI adoption. It is measurable business results. Timestamps 00:00 Introduction to the AI Business Flywheel Podcast 01:16 Why Businesses Use AI but See Little Impact 03:05 Experimenting With AI vs Building AI Systems 05:31 The Copy-and-Paste AI Problem 07:17 Building an AI-Powered Email Workflow 10:06 Why Small Businesses Have an AI Advantage 14:57 Stop Chasing the Latest AI Tools 17:36 Build Your AI Alignment Suite 22:18 Using AI Connectors Safely 29:35 Where Small Businesses Get AI Wrong 32:13 How to Measure Real AI Business Impact 34:31 The 5-Step AI Workflow Framework 37:04 Using AI to Create Better Sales Proposals 45:32 Building an AI Workspace in Google Drive 51:45 Google AI Workflows for Meetings 55:28 AI Adoption Is Not the Goal Subscribe for practical conversations about using AI as a force multiplier for small businesses. Watch More EpisodesYouTube: https://www.youtube.com/@AIBusinessFlywheel Spotify: https://open.spotify.com/show/033YpGz5XxhMLPLTx5H1pw Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-business-flywheel/id6791598888

  7. Aug 27

    Will AI Replace Jobs? What Small Businesses Should Automate First

    AI is not replacing entire jobs overnight—it is removing the repetitive tasks that quietly consume time. In this episode of the AI Business Flywheel Podcast, Duncan and Joe discuss how small businesses can use AI to automate admin, drafting, follow-ups, reporting, research, and other predictable work while keeping human judgment and decision-making in the loop. They also cover how to identify which tasks should be automated, AI-assisted, systemized, or removed completely, and why strong SOPs, brand context, and knowledge bases help AI produce better results. The goal is not simply to replace people. It is to increase capacity, reduce busy work, and give founders and teams more time for higher-value work. Timestamps 00:00 Introduction to the AI Business Flywheel Podcast 2:56 - 3:24 What Work Will AI Make Disappear First? 5:20 - 6:00 What McKinsey, BCG & Microsoft Say About AI and Jobs 6:06 - 6:49 Human-in-the-Loop: Why Judgment Still Matters 9:28 - 9:55 Stop Thinking in Job Titles—Think in Tasks 10:30 - 11:16 How to Find the Right Tasks to Automate 13:29 - 13:52 A Real Marketing Workflow You Can Automate 18:43 - 19:03 When the Founder Becomes the Bottleneck 21:10 - 22:12 Why AI Needs Your Business Context 27:36 - 29:22 Your AI Task Audit & Final Takeaway Subscribe for practical conversations about using AI as a force multiplier for small businesses. Watch More EpisodesYouTube: https://www.youtube.com/@AIBusinessFlywheel Spotify: https://open.spotify.com/show/033YpGz5XxhMLPLTx5H1pw Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-business-flywheel/id6791598888

  8. Aug 20

    What Happens When AI Goes Down? How to Keep Your Business Running Without AI

    What happens to your business when the AI tools you rely on suddenly stop working? In this episode of the AI Business Flywheel Podcast, Duncan and Joe explore the growing risk of AI dependency and why small businesses need systems that can continue operating even when tools like ChatGPT, Gemini, Claude, or Copilot become unavailable. They discuss the difference between using AI as leverage and allowing AI to become a single point of failure inside your business. From maintaining human-readable SOPs to creating backup workflows, switching between AI models, and protecting critical business information, this episode breaks down how to build AI-supported systems without losing the ability to work without them. The conversation also covers: The difference between AI leverage and AI dependencyWhy AI outages should be part of your business continuity planningThe hidden risk of AI producing confidently incorrect informationWhy employees should still understand how to complete important tasks without AIHow to switch between ChatGPT, Gemini, Claude, and other AI platformsWhy SOPs and business processes should remain human-readableHow to structure files and workflows outside individual AI platformsWhy AI should improve an existing process rather than become the processHow deterministic workflows can make AI systems more reliableWhy human judgment is still necessary in AI automationHow context windows can affect AI performanceWhy important AI-generated information should be exported and storedThe risks of relying entirely on cloud storageWhy businesses need backup copies of critical filesHow to create a practical AI downtime and fallback planThe goal is not to stop using AI. The goal is to make sure AI gives your business leverage without becoming a single point of failure. Timestamps00:00 Introduction to the AI Business Flywheel Podcast 00:41 - 1:19 What Happens When AI Goes Down? 1:22 - 1:59 AI Going Down Isn't the Biggest Risk 2:01 - 3:01 AI Dependency vs. AI Leverage 4:54 - 5:20 Keep Your SOPs Outside the LLM 5:23 - 5:43 Markdown and JSON Explained 6:45 - 7:23 Building an AI-Supported Content Workflow 7:33 - 7:44 AI Should Sit on Top of a Working Business 7:57 - 8:36 Case Study: AI-Supported Client Reporting 11:15 - 12:18 Deterministic vs. Non-Deterministic Work 13:54 - 14:17 Prove the Process With Humans First 15:03 - 15:43 Download and Centralize Your AI Outputs 16:04 - 17:03 Google Drive Can Also Be a Single Point of Failure 18:37 - 18:52 Cloud Backup Should Include More Than Google Drive 19:40 - 20:02 Employee Offboarding Can Accidentally Delete Business Files 20:57 - 21:16 Audit How Much Your Business Depends on AI 22:34 - 23:06 Final AI Business Continuity Checklist 23:06 - 23:24 Final Takeaway: AI Should Be Leverage, Not a Single Point of Failure Watch More EpisodesWatch more episodes of the AI Business Flywheel Podcast and discover practical ways to use technology and AI in your small business: YouTube: https://www.youtube.com/@AIBusinessFlywheel Spotify: https://open.spotify.com/show/033YpGz5XxhMLPLTx5H1pw Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-business-flywheel/id6791598888

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Your expertise is your greatest business asset. If it only exists in your head, it can't scale. AI Business Flywheel podcast shows founders how to capture, organise and operationalise their expertise using AI, creating systems that improve consistency, save time and build long-term business value. Your podcast hosts are Joe Bonington AI Architect, Educator and Creator of aibusinessflywheel.com and Duncan Isaksen-Loxton owner of sixfive.io Fractional CTO for small business owners.

Information

  • Creator
    Duncan Isaksen-Loxton & Joe Bonington
  • Years Active
    2026
  • Episodes
    13
  • Rating
    Clean
  • Copyright
    © 2026 Duncan Isaksen-Loxton & Joe Bonington
  • Show Website
    AI Business Flywheel