The Intelligence Age

Mark Smith [nz365guy]

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The Intelligence Age explores how intelligent technology is changing people, business, and work. Host Mark Smith [nz365guy] talks with practitioners, leaders, and innovators about putting AI to work: adoption that sticks, governance that holds, and the skills that matter next. Podcasting since 2017, with more than 830 episodes. New episodes weekly. https://theintelligenceagepodcast.com

1 天前 · 影片

Why AI Is Becoming a Business Transformation, Not a Technology Upgrade

AI is about to replace bloated SaaS, and most businesses are still only playing with chatbots Sean G Muller says the next wave of AI is not about better prompts or prettier copilots. It is about rebuilding business around context, agents, and what actually creates value - before your software stack becomes the expensive middleman. Mark Smth and Sean unpack why the last six months have been a genuine shift: agentic loops are now good enough to handle real business work, not just experiments. Sean explains how he moved from traditional technical architecture into building full application pipelines, MCP servers, and background agents that review email, track social signals, draft responses, and keep business moving without adding more human overhead. You'll discover why context is the missing ingredient in almost every failed AI project, how Sean uses a simple meal-planning example to explain it, and why companies that scatter knowledge across laptops, SharePoint, Google Cloud, and people's heads are sitting on hidden risk. Sean also breaks down the difference between AI as a feature and AI as a business transformation engine, including the mistake many firms make when they bolt chat onto old workflows and call it progress. We also get into the coming SaaS pocalypse - the idea that tools like HubSpot, Salesforce, Xero, Slack, and Atlassian may face a serious reckoning as businesses realize they can build leaner, custom, agent-first systems for less than the cost of endless licenses and modules. Sean shares how he built a headless, agent-driven CRM and why he thinks greenfield builds will replace expensive transformation projects much sooner than most executives expect. This conversation matters if you lead a business, run operations, own a small or mid-sized company, or simply suspect your current software is forcing you to work the wrong way. If you want to understand where AI is actually delivering leverage right now - and how to avoid wasting money on shallow pilots - this episode is essential listening. Mark Smth hosts the conversation and brings the enterprise and product lens, pushing Sean to get specific about what success looks like for real businesses in New Zealand. Sean G Muller is an AI and enterprise architecture specialist based in New Zealand, known for helping organizations build practical AI systems, implement agentic workflows, and rethink business process from the ground up. Resources 1. The Cuckoo's Egg: Tracking a Spy Through the Maze of Computer Espionage - https://www.amazon.com.au/dp/0385249462?ref_=mr_referred_us_au_nz 2. Gemini: A Family of Highly Capable Multimodal Models — 2312.11805.pdf ⁠https://arxiv.org/abs/2312.11805 3. On the Measure of Intelligence — 1911.01547.pdf - https://arxiv.org/pdf/1911.01547 If you want to get in touch with me, you can message me here on Linkedin. Thanks for listening 🚀 - Mark Smith
5月27日

Why AI Adoption Fails And How to Fix It

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM AI adoption fails when it stops at access to tools. This episode introduces a practical model that bridges the gap between AI tools like Copilot and measurable business outcomes. The focus shifts from technology to people, addressing key blockers such as time, confidence, and relevance. By grounding AI in real workflows, tailoring role-specific use cases, and measuring outcomes, organisations can move from low usage to meaningful impact fast. 🎙 Full Show Notes https://www.microsoftinnovationpodcast.com/837 👉 What you’ll learn Identify the real blockers stopping AI adoption in teams Shift from tool access to measurable business outcomes Design role-specific AI use cases that drive daily value Build AI training that fits real work, not theory Measure AI adoption with practical KPIs and usage data ✅ Highlights "These two things are very, very different" "Some things really need to happen in between those two places" "This is not about the tech. This is about the people" "They didn't know how to use the tool" "They didn't know what they were allowed to do" "When would they sit and just learn a link" "To actually tailor use cases that are relevant" "We have to measure how they are moving" "We moved a department from 15% to 83%" "It shifts how you are working" 🧰 Mentioned Microsoft Copilot (https://copilot.microsoft.com/) Copilot Notebooks (https://support.microsoft.com/en-us/topic/get-started-with-microsoft-365-copilot-notebooks-0775e693-11c6-4d80-8aba-fcc81a737a06) ChatGPT (https://chatgpt.com/) AI Boost Academy (https://hannabergstrom.com/) [ Vattenfall (https://group.vattenfall.com/) Microsoft MVP YouTube Series - How to Become a Microsoft MVP - https://www.youtube.com/playlist?list=PLzf0yupPbVkqdRJDPVE4PtTlm6quDhiu7 ✅ Keywords ai adoption, copilot, generative ai, ai training, business transformation, ai use cases, digital productivity, ai skills, organisational change, ai strategy, workplace efficiency, ai literacy If you want to get in touch with me, you can message me here on Linkedin. Thanks for listening 🚀 - Mark Smith
5月25日

Stop Buying Software, Start Buying Outcomes

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM This episode dives into why large CRM and ERP projects keep failing and how AI is reshaping consulting, software delivery, and platform decisions. The core insight is simple. Organisations fail when they buy software instead of outcomes. With AI, experienced teams can move faster, strip away legacy complexity, and build only what the business actually needs. The conversation explores outcome-based thinking, flawed RFP processes, and why AI is accelerating the gap between great and average practitioners. 👉 Full Show Notes https://www.microsoftinnovationpodcast.com/836 🎙️ What you’ll learn How to frame technology decisions around outcomes, not vendors or features Why traditional RFP processes drive cost blowouts and failed projects The four core business problems most systems are really trying to solve How AI tools are changing the speed and shape of consulting work When building custom solutions now beats buying off-the-shelf software ✅ Highlights “So many people are still buying software like it’s a software decision rather than a business decision.” “You’re really only trying to solve one of four business problems.” “Most organizations aren’t even thinking in terms of what is the root of what I’m trying to solve.” “Your highest qualified people are not even in the game because you’ve already excluded quality.” “AI is now to the developer what Visual Studio was in the 90s.” “It made the good developers really good and the bad developers a lot faster.” “Low code was developed because we couldn’t get enough developers.” “There’s a third option now, and that is vibe code your own add-on.” “I think we’re less than 18 months away from this changing enterprise software.” 🧰 Mentioned Microsoft Power Platform: https://learn.microsoft.com/power-platform Microsoft Dynamics CRM (Dynamics 365 CRM): https://www.microsoft.com/dynamics-365/solutions/crm Microsoft Business Central: https://www.microsoft.com/dynamics-365/products/business-central Microsoft Finance and Operations (Dynamics 365 Finance): https://www.microsoft.com/dynamics-365/products/finance Notebook LM: https://notebooklm.google LinkedIn Sales Navigator: https://business.linkedin.com/sales-solutions/sales-navigator DynamicConsultantsGroup.com: https://dynamicconsultantsgroup.com ✅Keywords ai in consulting, outcome-based software, crm failures, erp projects, power platform, low code vs pro code, vibe coding, rfp process, enterprise software, applied ai skills, digital transformation, consulting strategy If you want to get in touch with me, you can message me here on Linkedin. Thanks for listening 🚀 - Mark Smith
5月24日

AI as Your Operating System for Work and Life

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM AI is shifting from a tool to an operating system, enabling individuals to move faster, build bespoke solutions, and dramatically increase productivity. The biggest advantage now comes from curiosity, not technical depth. Those who experiment, learn a few tools deeply, and treat AI as a collaborator can compress hours into minutes and unlock new business models. Meanwhile, large organisations risk falling behind due to governance, inertia, and slow decision-making. 👉 Full Show Notes https://www.microsoftinnovationpodcast.com/835 🎙️ What you’ll learn Use AI as an operating system to replace and create software Move from idea to working solution in minutes, not hours Build capability by mastering a few tools, not chasing every new model Apply curiosity-driven workflows to unlock better AI outcomes Avoid common enterprise pitfalls around governance and tool sprawl ✅ Highlights "This software rewards the patient and the curious." "Learn two or three of these tools really well." "Are you using these tools to improve your quality of life or aren’t you?" "This is the last software that I’ll ever train." "We can create bespoke applications through any of these tools." "It’s eating other software." "People who choose to be left behind." "From idea to iteration in 30 minutes." "I feel like I’m becoming a bionic person." "The barriers to entry are just gone." 🧰 Mentioned ChatGPT – https://chatgpt.com/ Bing (Copilot Search) – https://www.microsoft.com/en-us/bing/copilot-search Google – https://www.google.com Gemini – https://gemini.google.com/ Claude – https://claude.ai/ Copilot – https://copilot.microsoft.com/ Perplexity – https://www.perplexity.ai/ Stability AI (Stable Diffusion) – https://stability.ai/ Ethan Mollick (Wharton profile) – https://mgmt.wharton.upenn.edu/profile/emollick/ Co-Intelligence (book) – https://www.penguinrandomhouse.com/books/741805/co-intelligence-by-ethan-mollick/ Suno (AI music generator) – https://suno.com/ ✅Keywords ai tools, generative ai, chatgpt, ai productivity, solopreneur ai, ai governance, llm workflows, ai operating system, automation, business ai, ai adoption, digital transformation If you want to get in touch with me, you can message me here on Linkedin. Thanks for listening 🚀 - Mark Smith
5月20日

Make Copilot Safe: Fix Data Governance First

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM This episode explores why data governance must come before enabling Microsoft 365 Copilot, with insights from Khurram Hafeez. It breaks down how sensitivity labels, data loss prevention, and Microsoft Purview reduce the risk of unintended data exposure. You will hear practical guidance on preparing your environment, protecting sensitive information, and managing AI use across Microsoft tools and third‑party AI sites. The focus is on real‑world decisions organisations must make to safely adopt Copilot at scale. 🎙 Full Show Notes https://www.microsoftinnovationpodcast.com/834 👉 What you’ll learn Why Copilot increases the impact of poor data governance How sensitivity labels affect what Copilot can access and summarise When to use DLP versus inline DLP for AI risk management How organisations can limit data sharing with third‑party AI tools What licensing choices matter for Copilot and Purview governance ✅ Highlights “With the intro of the AI, the importance of the data governance compliance has much increased.” “The first defense layer that you should be apply, that is the sensitivity label.” “If a user doesn’t have permission, Copilot can’t actually extract the data.” “Standard policy actually is not sufficient these days.” “Users copy and paste or upload a sensitive file to third‑party AI sites.” “Inline DLP policy is one step ahead of endpoint DLP policy.” “Microsoft focus not to block something, to protect something.” “Before enabling the copilot, they ensure that their environment is ready.” “Copilot certainly honors the permissions the user have.” 🧰 Mentioned Microsoft 365 Copilot: https://learn.microsoft.com/microsoft-365/copilot/ Microsoft Entra Suite: https://www.microsoft.com/security/business/microsoft-entra-suite E5 licence: https://www.microsoft.com/microsoft-365/enterprise/e5 Pay‑as‑you‑go Purview licensing: https://learn.microsoft.com/purview/purview-billing-models ChatGPT: https://chatgpt.com/ Gemini: https://gemini.google.com/ DeepSeek: https://www.deepseek.com/ Microsoft MVP YouTube Series - How to Become a Microsoft MVP: https://www.youtube.com/playlist?list=PLzf0yupPbVkqdRJDPVE4PtTlm6quDhiu7 ✅ Keywords microsoft copilot, microsoft purview, data governance, sensitivity labels, data loss prevention, inline dlp, endpoint dlp, ai security, m365 e5, third party ai, information protection, enterprise ai If you want to get in touch with me, you can message me here on Linkedin. Thanks for listening 🚀 - Mark Smith
5月18日

Adopt vs Adapt: Cut Power Platform Technical Debt

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM A practical rethink of how teams use Power Platform and Dynamics 365 to reduce technical debt, improve governance, and build sustainable solutions. The discussion centres on shifting from tech-first thinking to business outcomes, balancing low-code and pro-code principles, and preparing for AI and Copilot. The key insight is that long-term success comes from disciplined governance, reuse, and choosing when to adopt versus adapt. 👉 Full Show Notes https://www.microsoftinnovationpodcast.com/833 🎙️ What you’ll learn Shift from technology-first to outcome-first solution design Decide when to adopt vs adapt to reduce complexity Apply coding principles inside low-code environments Manage technical debt through governance and architecture Evaluate where AI and Copilot add real value today ✅ Highlights "taking a step back and looking at business need and use a process rather than technology first." "a term we're using in the department more and more is kind of adopt versus adapt." "the more you’re restricting yourself off from these possibilities." "it's treating it as a tool, a set of tools we can use rather than the default." "governance to me means more preventative." "it's really difficult to then stay on top of things like the Wave releases." "it’s more a matter of time than anything." "it's not the same thing as code, but it's not meant to be." "there's still a level of maturity that we need to get to." "what does Power Platform mean really and what is it there for?" 🧰 Mentioned Power Virtual Agents (now part of Copilot Studio): https://www.microsoft.com/en-us/microsoft-copilot/blog/copilot-studio/microsoft-power-virtual-agents-now-part-of-microsoft-copilot-studio/ AI Builder: https://learn.microsoft.com/en-us/ai-builder/overview Copilot: https://copilot.microsoft.com/ If you want to get in touch with me, you can message me here on Linkedin. Thanks for listening 🚀 - Mark Smith
5月17日

AI Makes Breaches Faster: 30-Minute Data Theft

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM This episode explores how AI is accelerating both productivity and cyber risk. As attacks become faster and more automated, traditional perimeter security no longer holds. The conversation focuses on why organisations must assume compromise, adopt zero trust thinking, and build visibility before scaling AI. It highlights practical steps to govern AI use, reduce insider risk, and modernise access models beyond legacy VPNs. The core message is clear: embracing AI without security foundations can move your business backwards. 👉 Full Show Notes https://www.microsoftinnovationpodcast.com/832 🎙️ What you’ll learn Why AI has shortened breach timelines from days to minutes How to shift from perimeter defence to a zero trust mindset Practical ways to gain visibility over AI tools and data use Where unplanned AI adoption creates insider risk Why VPN-only security models struggle in cloud-first work ✅ Highlights “From the time of compromise to data exfiltration, we’re seeing 30 minutes.” “Cybercrime is doing the same thing with AI that businesses are.” “You can’t protect what you can’t see.” “You can’t govern what you don’t know about.” “We almost have to assume we’re going to get hit.” “Security by obscurity doesn’t work anymore.” “AI is introducing far more risk when there’s no planning.” “Once you’re in with a VPN, there’s zero control on the inside.” “The volume and scale and speed is what really concerns me.” 🧰 Mentioned Zero trust: https://learn.microsoft.com/security/zero-trust/zero-trust-overview VPN (virtual private network): https://www.cisco.com/learn/topics/security/what-is-a-virtual-private-network-vpn.html SASE (secure access service edge): https://www.microsoft.com/security/business/security-101/what-is-sase Booz Allen: https://www.boozallen.com/ Gartner: https://www.gartner.com/en Anthropic Claude: https://claude.ai/ ✅Keywords ai security, cybersecurity, zero trust, ai risk, data governance, cybercrime, vpn security, sase, insider risk, cloud security, ai adoption, threat landscape If you want to get in touch with me, you can message me here on Linkedin. Thanks for listening 🚀 - Mark Smith
5月13日

Why Copilot Adoption Is Stuck at 3% And Fix It

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM This episode explores how business leaders are actually using AI inside organisations, and why adoption of tools like Microsoft 365 Copilot remains low. Chris shares practical insight from the frontline, covering Copilot strategy, Work IQ, agentic thinking, and how AI now enables teams to build internal tools faster than buying SaaS. The focus is not hype, but how to reimagine business models, reduce cost, and unlock new value with applied AI capability. 🎙️For full Show Notes https://www.microsoftinnovationpodcast.com/831 👉 What you’ll learn Why low Copilot adoption is an opportunity, not a failure How to think beyond productivity to AI-enabled business models When building internal AI tools beats buying SaaS What Work IQ enables that other AI systems cannot How agentic systems change OKRs, dashboards, and execution ✅ Highlights “AI is transformative, it is expensive, and it requires several years of exposure to capital budgets” “It’s not just about doing things better, but doing things you never could do before” “Microsoft is the largest commercial AI company on the planet” “Copilot can orchestrate over your information in a way that other AI can’t” “Work IQ would be a little bit better than the word graph” “I love the term vibe coding” “It would have been a couple of hundred thousand dollars two years ago” “I’ve taken over two thousand dollars of subscription costs out of my business” “They do exactly what I needed to do and no more” 🧰 Mentioned Microsoft 365 Copilot: https://www.microsoft.com/microsoft-365-copilot Host - Polaris podcast: https://polaris.synozur.com Co-Host Microsoft’s Intrazone podcast: https://aka.ms/TheIntrazone Microsoft MVP YouTube Series - How to Become a Microsoft MVP - https://www.youtube.com/playlist?list=PLzf0yupPbVkqdRJDPVE4PtTlm6quDhiu7 ✅ Keywords ai adoption, microsoft copilot, work iq, agentic ai, internal tools, ai strategy, okrs, vibe coding, business transformation, saas replacement, applied ai, enterprise ai If you want to get in touch with me, you can message me here on Linkedin. Thanks for listening 🚀 - Mark Smith

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The Intelligence Age explores how intelligent technology is changing people, business, and work. Host Mark Smith [nz365guy] talks with practitioners, leaders, and innovators about putting AI to work: adoption that sticks, governance that holds, and the skills that matter next. Podcasting since 2017, with more than 830 episodes. New episodes weekly. https://theintelligenceagepodcast.com

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Mark Smith [nz365guy]
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© 2026 Mark Smith - Cloverbase Ltd.
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