{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Travel Tech Podcast","title":"Nobody Would Fund a Human for This","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/bcba7fe5\"></iframe>","width":"100%","height":180,"duration":919,"description":"Four founders who have never met each other all built the same tool for the same reason: a phone call that no human team could ever be funded to make.\nThis is the first episode in a new series pulling together ideas that surfaced independently across separate conversations with founders and operators. Host Alex Brooker features Mike Putnam (Custom Travel Solutions / reconfirm.ai), Anne Marie Pellerin (airport operations and security), Yagub Rahimov (call center AI infrastructure), and Fred Bean (Hotel Port), each making the case for AI-driven phone calling from a different corner of the travel and aviation industry.\nWhat You'll LearnThe reconfirmation gap: Roughly two in every hundred hotel reservations get lost between the booking channel and the property, and the traveler usually finds out at the front desk.Hotel switches and data loss: Distribution tools like travel gateways and hub systems make shopping easier for consumers but create more points where a confirmed booking can quietly disappear.Voice as an audit layer: In airport maintenance operations, AI-driven calls to service engineers can capture and structure information that would otherwise stay fragmented across frontline paper logs, call center software, IT systems, and vendor platforms.The data orchestration bottleneck: Predictive analytics in airport maintenance is blocked less by AI capability and more by the absence of one unified, high-quality data set across all the systems involved.The unit economics case: Processing a single call for transcription and analysis can cost 5 to 10 cents while saving an organization roughly $200 in support time, which is what makes the business case close on its own.Privacy-by-architecture: A gateway approach can anonymize call data before it reaches an LLM, using a single base URL swap rather than a full architectural rebuild.The human off-ramp requirement: Voice AI adoption depends on giving customers a fast, obvious route to a human when they don't want to talk...","thumbnail_url":"https://img.transistorcdn.com/LxpvuNpWwfSGFL1KA1WhoZf9L55ykAqb5rgjXNFqi3c/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mY2Yz/ZjA5OGE1ZmEyMTk4/ODJkYmU1YjhlYjRk/YTMzNC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}