The AI Corner

Join host Mike Bayly and guest Stephen Morison, Gen AI leader at Fonterra, to explore how he’s embedding AI into the workflows of 22,000 employees - from farms to the boardroom. With deep expertise in enterprise tech and change management, Stephen shares how Microsoft Copilot and custom bots are transforming operations at scale.

Discover why AI adoption is “99 % change management,” how home experiments speed up workplace confidence, and why successful AI strategies focus on business outcomes - not just the tech. Stephen also unpacks enterprise readiness, key productivity gains, and the global trends reshaping AI for large organisations.

In this episode we discuss:

• 00:00 – Intro & guest bio

• 00:28 – Stephen’s tech journey to AI

• 01:48 – AI as advanced auto-complete

• 01:48 – Change management over technology

• 03:08 – Why AI use starts at home

• 05:07 – AI strategy vs business strategy

• 07:26 – Cutting through AI tool noise

• 09:13 – Measuring success beyond ROI

• 12:01 – From cost reduction to growth

• 13:18 – Meetings, notes & productivity hacks

• 14:43 – Enterprise AI readiness

• 16:35 – Are we at peak AI hype?

• 18:26 – Model costs and rapid depreciation

• 19:47 – What the next 10 years look like

• 22:04 – New Zealand AI wins & gaps

• 24:10 – Fixing NZ’s productivity problem

• 25:06 – Quick-fire round

• 26:27 – Outro & next steps

STEPHEN MORRISON'S LINKEDIN: https://www.linkedin.com/in/stephenmorison/

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Join host Mike Bayly and guest David Dempsey, associate professor at the University of Canterbury, as they explore how AI is being integrated into engineering education in New Zealand, and why it matters for tomorrow’s professionals.

Discover how AI agents and sandbox environments are empowering students to red‑flag mistakes, rethink assessments, and build critical thinking. David shares tips on augmenting workflows (like using GPT as an error checker), considerations for ethical AI use, and how educators can architect a responsible AI culture on campus.

In this episode we discuss:

• 00:00 – Intro & guest bio

• 00:30 – First exposure to GPT‑3.5

• 02:26 – Why educators must shape AI’s integration

• 04:19 – Redesigning assessments for AI

• 07:05 – Three pillars: knowledge, skills, attitude

• 08:31 – Verifying AI: the “fun” prompt test

• 10:48 – Introducing students to AI agent frameworks

• 12:11 – Workshops & training for staff

• 13:08 – AI teaching assistants: potential and pitfalls

• 16:25 – Faculty–industry partnerships & Engineering NZ

• 21:07 – Where AI adds value in engineering

• 23:31 – Risk of shallow learning with AI

• 28:32 – Quick‑fire round: model preferences & trends

• 31:55 – Outro & next steps

David Dempsey: https://www.linkedin.com/in/david-dempsey-03b1ab25/?originalSubdomain=nz

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Discover how Incredible co-CEO Matt Browning turns no-code platforms and AI agents into customised software that frees Kiwi and global SMBs from admin drudgery. Fresh off winning the 2024 Rotorua Tech & Innovation Award, he joins host Mike Bayly to unpack the real-world potential of automation.

Gain tangible insights into rapid Glide app building, the “light-bulb” moment when AI plugs into existing tools, and why New Zealand trails the US on adoption. Matt shares play-by-play upgrades that reclaim ten hours per employee and practical advice for Kiwis eyeing overseas markets.

In this episode we discuss:

• 00:00 – Intro & guest bio

• 00:30 – Matt's AI origin story

• 04:17 – Discovering Glide low-code

• 06:36 – Rapid AI workflow builds

• 09:56 – Workshop light-bulb moments

• 12:17 – Industry adoption trends

• 13:46 – Why NZ lags in AI

• 16:10 – Kiwi advantage overseas

• 19:57 – Navigating the hype cycle

• 25:42 – Government support gaps

• 28:31 – Quick-fire round insights

• 31:52 – Outro & next steps

MATT BROWNING'S LINKEDIN: https://www.linkedin.com/in/mattbrowningnz/

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Join host Mike Bayly as we welcome back John-Daniel Trask, CEO of Raygun and AutoHive, to break down the launch of AutoHive - a New Zealand AI Agent platform for building and collaborating with AI agents across business workflows. From team-wide adoption to platform differentiation, JD shares what sets AutoHive apart and why it's designed for everyone, not just developers.

Discover how AutoHive enables multiplayer AI agents, why most orgs stall at proof-of-concept, and how to avoid hype traps.

🎙️ In this episode we discuss:

• 00:00 – Intro & guest bio

• 00:27 – AutoHive launch & US AI trip

• 01:34 – Multiplayer AI vs single-player tools

• 03:27 – Launch timeline & free tier

• 04:22 – What counts as an AI agent

• 06:04 – Why most POCs stall

• 07:55 – Build agents in 2–3 mins

• 08:25 – Don’t start with Jarvis

• 10:47 – Augmentation vs replacement

• 12:03 – The apprenticeship risk

• 13:50 – Juniors vs seniors in the AI era

• 17:32 – Who AutoHive is (and isn’t) for

• 20:18 – How AutoHive stands out

• 23:12 – What’s been hardest to build

• 25:54 – Future plans & mobile vision

• 27:45 – Vertical use cases & integrations

• 31:29 – How orgs should think about AI strategy

• 36:29 – Launch links & what’s next

JOHN-DANIEL TRASK: / https://www.linkedin.com/in/jotrask/

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Join host Mike Bayly in conversation with Susana Tomaz, a molecular biologist turned AI educator driving one of New Zealand’s most forward-thinking school strategies at Westlake Girls. As an international AI education fellow, Susana shares why AI literacy is essential for every student and what it takes to lead bold change before the system catches up.

Discover how to build AI capability across teachers, students, and parents, why policy and trust are crucial first steps, and how Westlake is creating tailored PD for beginner to advanced educators. Hear practical ideas on using AI for feedback, planning, and more, all while keeping relational learning at the centre.

00:00 – Intro & guest bio

00:57 – Students’ first AI questions

01:25 – Susana’s pivot to AI in education

02:22 – Why AI isn’t “just another calculator”

05:41 – Leading before the Ministry does

07:28 – What AI literacy really means

08:49 – How to start building school strategy

11:11 – Tackling resistance with purpose

16:44 – Beginner to advanced teacher training

19:35 – Less screen time, deeper learning

21:52 – AI as team player in group work

24:36 – Where NZ is falling behind globally

26:54 – Educator networks in NZ

27:45 – Quick-fire round

30:59 – Outro

SUSANA TOMAZ' LINKEDIN:

https://www.linkedin.com/in/susana-tomaz/

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Join host Mike Bayly and guest JD (John-Daniel Trask), CEO of Raygun and AutoHive, for a sweeping chat on New Zealand’s AI future. From 1990s Clippy to 2024’s AI agents, JD shares how his nerdy obsession evolved into a mission: scale AI delegation across NZ businesses and close the nation’s productivity gap.

Discover how Raygun’s “AI Week” helped pivot the business, and why small teams with smart agents may define the next wave. JD also tackles hard truths: NZ’s lack of urgency, AI’s labour shock, and how proactive experimentation can future‑proof your team.

In this episode we discuss:

Join host Mike Bayly and guest JD (John-Daniel Trask), CEO of Raygun and AutoHive, for a sweeping chat on New Zealand’s AI future. From 1990s Clippy to 2024’s AI agents, JD shares how his nerdy obsession evolved into a mission: scale AI delegation across NZ businesses and close the nation’s productivity gap.Discover how Raygun’s “AI Week” helped pivot the business, and why small teams with smart agents may define the next wave. JD also tackles hard truths: NZ’s lack of urgency, AI’s labour shock, and how proactive experimentation can future‑proof your team.In this episode we discuss:00:00 – Intro & guest bio00:56 – Weird Science & JD’s AI origin story01:44 – ChatGPT’s “holy moly” moment03:05 – NZ’s productivity crisis & software advantage06:27 – Raygun’s AI planning reset08:44 – AI Week: non-coders pass dev test12:00 – Making AI safe, fun & usable15:29 – Redefining agents & AI planning tools22:56 – Teams of 20 → the new normal32:23 – JD’s message to NZ leaders40:18 – Quick-fire round: Claude vs Gemini, open-source, hidden NZ players42:31 – Outro

JOHN-DANIEL TRASK: https://www.linkedin.com/in/jotrask/

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Join host Mike Bayly as he speaks with Dr. Karaitiana Taiuru, a leading Māori technology ethicist, about the intersection of AI, culture, and indigenous rights. With over 30 years of experience, Dr. Taiuru shares his journey into AI and his mission to ensure Māori leadership in the digital realm.

Discover the challenges of algorithmic bias, the importance of Māori data sovereignty, and the potential of AI to both harm and heal cultural narratives. Dr. Taiuru emphasises the need for proactive engagement, cultural preservation, and the development of sovereign AI systems that respect indigenous knowledge and governance.

In this episode we discuss:

00:00 – Intro & guest bio

00:31 – Dr. Taiuru's introduction to AI

01:35 – Importance of Māori perspectives in AI

03:07 – Misrepresentation of Māori culture in AI

05:18 – Engagement with big tech companies

06:49 – Underrepresentation of Māori in tech

09:33 – Challenges in engaging iwi leaders

11:23 – Practical AI applications for Māori communities

12:21 – Cultural misinterpretations by AI systems

13:29 – AI's role in language revitalisation

15:03 – Bias in predictive models and algorithms

17:40 – Preserving culture through AI and digitisation

19:44 – The case for sovereign AI in New Zealand

22:01 – Global perspectives on indigenous data sovereignty

23:39 – Emerging Māori-led AI initiatives

24:09 – Quick-fire round: AI tools and trends

25:13 – Outro & next steps

DR. KARAITIANA TAIURU'S LINKEDIN: https://www.linkedin.com/in/ktaiuru/

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Join host Mike Bayly and guest Matt Ensor to discuss how Matt helping New Zealand lead in practical AI adoption—from building the country’s first indigenous conversational AI (Frankly AI) to training teams with agents that automate real business workflows.

We dive into AI’s role in civic engagement, Māori data sovereignty, and why “No Voice Left Behind” isn’t just a slogan—it’s a mission. Matt breaks down how to build an AI agent in 20 minutes, the role of trust in global AI markets, and why NZ is just 8 hours away from AI transformation.In this episode we discuss:

• 00:00 – Intro & guest bio
• 00:56 – Leaving smart cities for AI
• 01:54 – Origins of Frankly AI
• 03:16 – Equity, storytelling, and culture in AI
• 06:08 – Risks of leaving people behind
• 07:05 – Training to shift mindset
• 09:02 – Agent-building demystified
• 11:29 – Real QA use cases
• 14:18 – Security & adoption myths
• 16:08 – SMEs vs enterprise AI uptake
• 19:55 – Māori data sovereignty
• 21:21 – Why NZ needs its own LLM
• 24:40 – AI for boards & future readiness
• 28:05 – Matt’s billboard idea

MATT ENSOR’S LINKEDIN

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Join host Mike Bayly and guest Joe Sutheran as they explore how a performance marketing analyst upskilled in AI to safeguard his career.

Hear Joe’s step‑by‑step journey: from mastering system instructions and temperature settings to building multi‑agent document‑generation workflows. Joe talks to strategies for human‑centric automation that any business can adopt.

In this episode we discuss:

• 00:00 – Intro & guest bio
• 00:55 – Realising AI’s impact on data analysis
• 02:21 – Prompt‑engineering fundamentals course
• 03:46 – Building a multi‑step document workflow
• 05:10 – Augmenting content writers with AI agents
• 07:03 – People‑first versus replacement mindset
• 09:16 – n8n YouTube summariser tool walkthrough
• 12:07 – Challenges of productising bespoke AI tools
• 13:05 – Dunning‑Kruger and the learning curve in AI
• 16:54 – Data hygiene and silos holding businesses back
• 18:23 – The rise of voice agents and realistic clones
• 20:12 – Tips for confident AI‑driven data analysis
• 22:39 – Balancing data‑security fears with practical gains
• 25:03 – Beginner’s toolkit: exploring specialist AI models
• 28:14 – Quick‑fire round
• 30:05 – Outro & next steps

JOE SUTHERAN’S LINKEDIN

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Join episode one of The AI Corner as Salesforce pioneer‑turned‑AI-consultant Dan Fowlie reveals how GPT‑4 ignited his leap into hands‑on AI, why build costs are plummeting, and how Kiwis can seize the opportunity.

Discover practical workflows (cross‑model code review, Replit prototypes), candid views on NZ’s lagging adoption, and everyday hacks—from tyre shopping to kid‑friendly colouring sheets—that prove AI’s value for technical and non‑technical listeners alike.

In this episode we discuss:

• 00:00 – Intro & guest bio
• 00:51 – Shift from Salesforce to AI
• 01:49 – GPT‑4 lightbulb moment
• 03:25 – Early Salesforce‑AI experiments
• 06:20 – Build costs trend to zero
• 10:13 – Lead‑capture prototype with O3
• 14:06 – Cross‑model code checking
• 16:33 – NZ business maturity gap
• 25:05 – Everyday AI use cases
• 29:29 – Quick‑fire round
• 31:55 – Raygun shout‑out
• 32:22 – Outro & next steps

DAN FOWLIE'S LINKEDIN: https://www.linkedin.com/in/salesforcecrmconsultant/

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