Most conversations about AI implementation come from consultants selling solutions or vendors pitching tools. This one doesn't.

Sean Seah is SVP of Strategy, Technology and Innovation at Langham Hospitality Group, where he's leading AI adoption across a global luxury hotel portfolio. With over two decades in digital transformation at Microsoft, HSBC, and Zuji, Sean brings a rare perspective as he's living inside the messy reality of making it actually work.

What emerges from our conversation is a refreshingly practical playbook for AI implementation. Sean reveals why the "boring stuff" nobody discusses—data infrastructure, change management, measurement frameworks—determines whether AI delivers business value or not. He advocates starting small, proving value in weeks rather than years, and letting success create momentum for long term transformation.

We explore how Sean balances short-term wins with long-term strategic vision, how he thinks about his AI strategy in a global context, and why luxury hospitality, with its complex blend of human service and operational efficiency offers surprisingly universal lessons for AI implementation across industries.

In this episode:

• How Sean's approach to long term tech transformation includes the necessity that it must deliver short term value as well.
• Why one of Langham's first major AI investments is customer facing and how it’s faring
• Examples of how they practically trained their AI agents and staff, and
• How Sean’s ensured Langhams isn’t reliant on any one large language model

Whatever sector you’re in, Sean's boots-on-the-ground experience offers a practical roadmap for leaders navigating the gap between AI potential and AI reality.

Enjoy this episode!

Useful Links:

Sean Seah on Linkedin

Langham Hospitality Group

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Happy New Year to you dear listener!

Have you ever felt that familiar January anxiety either because you’re feeling guilty that you don’t have a perfect set of goals for the new year or because you’re second-guessing if your goals are ambitious enough, structured enough, or even the right ones? If that’s you then this episode is for you. (Happens to us every year!)

They say it takes one to know one 😂so as 2026 began, we both wanted to help ourselves (and hopefully help you too) get the year off to a great start.

We got busy on our laptops and in this episode, we share our personal experiments where we used AI to reflect on 2025, as well as help us set meaningful goals for the year ahead.

We road-tested ChatGPT, Claude and Gemini.

The results were super interesting . . . and helpful. One model delivered a remarkably accurate summary of Greta's entire year (likely because she'd used it most consistently), while another coached Claire through building a custom Project that will track her goals throughout 2026.

In this episode we discuss:

• The tension between letting AI lead your thinking versus using it as a thought partner
• How to set up an AI project (or GPT, Gem etc.) that coaches you through goal-setting
• How you can quickly create vision boards and mind maps, and . . .
• How AI may just change how you frame and think about your entire year.

Whether you're a seasoned AI user or just getting started, listen now for practical approaches you can try out right away.

Wishing you an intentional, productive and fulfilling 2026!

Useful Links

Claude – Anthropic's AI assistant

ChatGPT – OpenAI's AI assistant (try "show me my year" for your personalised review)

Google Gemini – Google's AI assistant (find Nano Banana here by looking in the prompt window on the bottom left and clicking on ‘tools’ then choose ‘create images’.``)

Notebook LM - Google’s interesting AI tool that will allow you to create a Mindmap, an audio episode, presentations, flashcards, and many other forms of content from uploaded files. Definitely worth a play.

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If you've heard the term 'AI agents' but aren't quite sure what they actually are or how they could help you at work, this is the episode for you.

Our guest is Dominick Ng, Director of Engineering at Relevance AI, a platform that helps businesses build and deploy AI agents. Before joining the startup world, Dom spent nine years at Google, rising from software engineer to senior manager. He also holds a PhD in Computational Linguistics and won a Fulbright Scholarship to UC Berkeley.

What makes Dom such a brilliant guide for this topic is his ability to explain complex technology in human terms. As he puts it, agents are fundamentally about adding human-like decision making to automation — handling the qualitative judgments that previously only people could make.

In this conversation you'll hear:

• A clear explanation of what agents actually are and why they're different from previous automation

• Real examples of agents creating entirely new business possibilities that couldn't exist before

• How to address privacy and security concerns when handing tasks to agents

• Dom's advice for anyone feeling overwhelmed by all of this

Dom is refreshingly honest about both the opportunities and the concerns he has about AI's impact. His perspective on how humans and AI can work together — and the 'spark' that makes human creativity irreplaceable — is genuinely hopeful without being naive.

If you've been curious about agents but not sure where to start, this is the conversation you can thank us for later.

As this is our final episode of the year, we want to wish all our listeners Season's Greetings. Thank you for listening throughout the year, and we wish you a kind and fulfilling new year ahead.

Enjoy this episode with the ever-curious and articulate Dominick Ng...

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