The Tourism AI Podcast

• #12 - Agentic Systems in Tourism: How AI ‘Digital Employees’ Crush Labour Shortages

  Can’t hire fast enough? Agentic systems—AI-powered “digital employees” can shoulder sales follow-up, inbox triage, social media and even itinerary design for a fraction of today’s costs. In this Tourism AI Podcast episode, host Peter Pilarski talks with Jesse Anglen (CEO, Rapid Innovation) about building agentic workflows that solve tourism’s labour crunch without compromising high-touch service.🎧 Topics & Timestamps00:00 Intro01:00 What are agentic systems?03:15 Why tourism’s problem is too few humans, not AI displacement06:00 Heli-ski case study: remote lodge, luxury guests, zero spare staff10:30 Three levels of AI adoption (and why “free ChatGPT” isn’t enough) 15:40 Building blocks: Intelligence • Tools • Process • Memory21:00 Marketing & lead-nurture agents that cost 99 % less than agencies 27:30 MCP & A2A protocols—why tool-calling is now plug-and-play33:00 Preparing data & SOPs (the “unsexy” work that pays off)40:45 Future outlook: 1 % of salary, 100 % of the value44:55 How to start your first agentic pilot🔗 Resources• RapidInnovation.io• Download the free AI Tourism Adoption Toolkit — https://tourismai.network/toolkit• Join Tourism AI Network community — https://tain.circle.so/join?invitation_token=fe0945e29ada9906803fb2a3089c73ee19954c63-901aa2d6-9846-4076-a764-40b3b3760f40 🤝 Connect Jesse Anglen — LinkedIn: https://www.linkedin.com/in/jesseanglen/#tourismai AITourism #AgenticSystems #DigitalWorkforce #TourismAIagentic systems tourism,digital employees,AI workforce,tourism labour shortage,artificial intelligence in tourism,rapid innovation,jesse anglen,peter pilarski,tourism ai podcast,heli-ski lodge case study,ai marketing automation,model context protocol,mcP,a2a protocol,chatgpt plus,gemini 1.5,claude 3.5,travel tech,remote lodge operationsChapters (auto-detect OR paste into description) 0:00 Intro & episode goals 1:00 Meet Jesse Anglen / Rapid Innovation 2:30 Tourism’s labour crunch vs. AI “replacement” myth 6:00 Heli-ski lodge case study 8:45 Three levels of AI adoption 14:00 Paid vs free LLMs 17:00 Agentic building blocks 21:00 Marketing automation wins 27:30 Tool-calling via MCP 31:20 Data hygiene & SOPs 38:50 Quick-start experiments 40:45 Future cost curve 43:30 How to get started 44:55 Wrap-up & CTAs

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• #11 - From Textbooks to Toolkits | Prof. Lian Dumouchel

  Professor Lian Dumouchel reveals how she leveraged generative AI to create The Marketing Map, a free, Canada-specific tourism marketing textbook, in just eight weeks. We examine:AI as a research assistant that compresses months of work into daysUsing synthetic personas and data to validate new travel productsTactics to overcome staff resistance and prove ROI fastThree action items you can pilot this quarterFollow & share• Follow the Tourism AI Podcast for fresh episodes every Thursday• Rate & review—your feedback helps more travel pros discover AI solutionstourism AI, hospitality technology, open educational resources, synthetic data, travel marketing, destination management, AI literacyTravel, Technology, Business, Education, Marketing, Innovation, Entrepreneurship, Data, Hospitality, Tourism

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• #10 - AI Agents Are Coming Here’s How Tourism Leaders Can Get Ahead

  AI agents aren’t science fiction anymore—they’re creeping into search, customer service, and even itinerary planning. Peter Pilarski and Josh Huston unpack where agentic AI really stands in April 2025 and why tourism organizations must start preparing today. Expect candid insights on data hygiene, SOPs, and the coming wave of vertical, tourism‑specific agents that will let small teams punch above their weight.Key takeawaysCurrent agents excel at deep research but still depend on your data being clean and structured.Organizing Google Drive, documenting processes, and archiving old assets are the “unsexy” steps that unlock future automation.Early wins: after‑hours booking bots, AI visitor‑centre desks, and instant key‑message generation from press‑release archives.Vertical agents will shift—not erase—jobs, freeing humans for higher‑touch guest experiences.The speed of change is accelerating beyond Moore’s Law; waiting means falling behind.Download the AI Adoption Toolkit and start future‑proofing your destination: tourismai.network/toolkit—Tourism AI Network | Empowering tourism leaders with AI literacy, strategic integration, and community support.

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• #9 - Revolutionizing Indigenous Tourism with AI: Chatman Shaw’s Trailblazing Journey

  Join Peter Pilarski, Founder of the Tourism AI Network, as he sits down with Chapman Shaw of Indigenous Tourism British Columbia to explore the intersection of artificial intelligence and Indigenous cultural stewardship. In this candid conversation, you’ll hear how Chapman is navigating his AI journey—from experimenting with AI note-taking tools to building a custom GPT trained on distinctions-based documentation for First Nations advocacy. They tackle crucial topics such as:Ethical AI in Community Contexts: Best practices for introducing AI note-takers in meetings, ensuring transparency and respect for data sovereignty.Capacity Building: How Indigenous Tourism BC teams are leveraging AI—from marketing content creation to automating meeting notes—to save hours each week.Forensic AI Models: Chapman’s step-by-step approach to feeding cultural primers and calls to action into a custom GPT that preserves heritage, language, and governance protocols.Policy & Trust: The distinction between cultural sharing and cultural sling, and why clear organizational policies are essential for building comfort and trust among knowledge keepers.Whether you’re a tourism professional curious about AI or a community leader seeking to responsibly integrate emerging technologies, this episode offers practical insights and inspiring stories to guide your journey.🔗 Resources & Next StepsJoin the Tourism AI Network community for exclusive webinars and peer support: https://tourismai.network/communitySubscribe and leave a review—each rating helps us bring you more conversations at the cutting edge of AI in tourism.

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• #8 - Elevating Tourism with AI & Authentic Data | Ryan Malcolm (Tourismo)

  Tourism’s data mess is real—but it doesn’t have to be.In this episode, Peter talks with Ryan Malcolm (Director of Business Development, Tourismo) about building a single source of truth for destinations and using AI to lighten the load on small teams. Topics include:Tourismo’s origin story and “rise‑all‑ships” visionUsing AI to auto‑create business listings, tag media, and suggest new contentOvercoming data silos and legacy‑system blockersBalancing first‑party data protection with actionable insightsWhat content AI can’t replicate—and why that matters for 2025Ryan’s one wish for the future of AI in tourismLinks & resourcesJoin the Tourism AI Network community for webinars & peer support: https://tain.circle.so/join?invitation_token=fe0945e29ada9906803fb2a3089c73ee19954c63-901aa2d6-9846-4076-a764-40b3b3760f40Follow the show for weekly conversations with tourism leaders turning AI into real‑world results.Hashtags#TourismAI #TravelTech #Tourismo #Podcast #DataStrategy #AIAdoption

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