Can AI Fix It

Can AI Fix It

By Catherine Warrilow & Paul MardenSociety & CultureBusinessPlaces & TravelMarketing
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Can AI Fix It episodes

  • Jack Harris from Tally Ho Experiences

    Jack Harris, founder of Tally Ho Experiences, runs a seasonal London tour business from the Somerset countryside. Rather than training up temporary staff every peak season, he uses AI as an “elastic workforce” for the back office. That gives him and his assistant the headroom to take on complex, multi-supplier itineraries for the travel trade, without losing the personal touch.

    Jack explains how getting the knowledge out of his head and into documentation laid the foundations, and how his “Love Note” workflow works. Guides leave a quick voice note after each tour, and an agent turns it into a personal follow-up email to the customer or travel agent within ten minutes.

    Then it’s over to Catherine Warrilow and Paul Marden. Jack challenged them to set up an open-source agent harness, connect it to a messaging app and their own tools, and get it to draft an email, all in two hours. They take very different routes, with very different levels of stress. Jack picks a winner.

    In this episode:

    • Why founder-led businesses need to get what’s in their heads written down
    • AI as an elastic back-office workforce for seasonal businesses
    • Keeping customer relationships human when agents draft the emails
    • What an AI “harness” is, explained with a brain in a jar and a horse
    • Open source vs big-tech AI, and who benefits
    • The rise of personal agents, and what they could mean for tourism in 2027

    Chapters
    00:00 Cold open
    01:09 Welcome
    01:58 Meet Jack Harris
    02:51 Stepping out of the business, and documenting what’s in your head
    05:23 Rebuilding the back-office stack
    07:00 The elastic workforce
    09:56 Training an assistant vs training an agent
    12:12 Keeping relationships human
    14:11 Escaping the tyranny of the desk
    16:20 Love Notes: from guide voice note to follow-up email
    19:24 What’s a harness?
    21:01 The two-hour challenge
    22:05 Paul’s build: Hermes, Telegram and HubSpot
    26:27 Catherine’s build: Claude as co-pilot, Telegram and Gmail
    32:21 Speed, models and billing
    35:42 Software glued together vs genuine AI
    38:16 Open source and who benefits
    39:59 Personal agents and the future of travel
    44:14 And the winner is…

    Guest: Jack Harris, Tally Ho Experiences
    Hosts: Catherine Warrilow and Paul Marden

    47 min
  • Ivan Diaz from Convious

    What if your ticketing system told you to staff 12 people on Friday instead of 20, and then drafted the member email too? Ivan Diaz from Convious shows us how.

    38 min
  • Jonathan Taylor from Phantom Peak

    AI in business is almost a cliche, it’s discussed on LinkedIn and at conferences. But it’s tough to get started, not only is there a technical leap to make but it’s difficult to learn the tools if you don’t understand what the art of the possible is.

    In this episode of Can AI fix it we meet Jonathon Taylor, Head of Marketing for the League of Adventure, the owners of Phantom Peak, the award winning immersive experience. Jonathan is part of a dynamic AI first team, who are discovering the many ways that AI can improve guest experience and save time and money - and he’s going to share 3 of those ideas with us.

    47 min
  • Nik Wyness from The Tank Museum

    If you already have an established, authentic brand with great reach on social media, using AI for content production poses a risk. So how can attractions like these make use of tools like Claude and Chat GPT?

    In today’s episode we meet Nik Wyness, the Head of Marketing and Engagement at the Tank Museum, and we’ll be looking at ways to use AI tools to help monitor and respond to online customer reviews.

    54 min
  • Trailer A Call to Action

    Catherine Warrilow and Paul Marden talk about how AI at visitor attractions can be transformational for business process, and more than just a bit of image editing or copy writing.

    14 min

About Can AI Fix It

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