{"podcast":{"title":"Scouting for Growth","slug":"scouting-for-growth-4686831","podcast_index_feed_id":4686831,"rss_url":"https://feed.podbean.com/sabinega/feed.xml","website_url":"https://sabinega.podbean.com","image_url":"https://pbcdn1.podbean.com/imglogo/image-logo/21959862/c84aea4ad531642db775e0d7782c8f77.jpg","author":"Sabine VanderLinden","episode_count":233,"summary":"There are over 180,000 FinTech ventures out there today. My team tracks 7.3 million of them across markets every single week. But the number that matters isn’t the one that’s growing. It’s the one that isn’t. Only 25% of these ventures have secured funding and meaningful backing. The other 75% aren’t just looking for capital. They’re looking for access, credibility, and partnerships with the institutions that can turn a great product into real-world impact. This is Scouting for Growth. I’m Sabine VanderLinden. I lead Alchemy Crew Ventures, and I built the Venture-Client Model for regulated industries... the model where a growth venture earns a corporation as its customer before a VC writes the cheque. When that sequence works, it changes the equation for everyone: founders, corporates, and the investors watching from both sides of the table. Each episode, I bring a founder, an operator, or an institutional leader to the table for the conversation that usually happens behind closed doors: about how corporates really think, how capital really flows, and what it actually takes to build, grow, and scale in a world where the boundaries between FinTech, InsurTech, HealthTech, and AI are…","last_synced_at":"2026-07-30T16:17:45.012213+00:00","page_url":"https://stenobird.com/podcast/scouting-for-growth-4686831"},"episode":{"title":"Willem Paling: From Messy Middles to Autonomous Agents and the Race for Trust at Scale","slug":"willem-paling-from-messy-middles-to-autonomous-agents-and-the-race-for-trust-at-scale","published_at":"2026-06-25T07:00:00+00:00","page_url":"https://stenobird.com/podcast/scouting-for-growth-4686831/willem-paling-from-messy-middles-to-autonomous-agents-and-the-race-for-trust-at-scale","show_page_url":"https://stenobird.com/podcast/scouting-for-growth-4686831","url":"https://sabinega.podbean.com/e/willem-paling-from-messy-middles-to-autonomous-agents-and-the-race-for-trust-at-scale/","audio_url":"https://cohst.app/pdcst/6K4Q1I/mcdn.podbean.com/mf/web/kpvb4r3dmubt3tqz/SFG_Willem_Paling_From_Messy_Middles_to_Autonomous_Agents_and_the_Race_for_Trust_at_Scale_17VI26_M_SAS_Jimmy7fi4d.mp3","summary":"AI in insurance has crossed a threshold. The question is no longer whether insurers can experiment with artificial intelligence. The question is whether they can govern it, scale it and trust it fast enough to remain relevant. In this episode of Scouting for Growth, Sabine VanderLinden speaks with Willem Paling, Executive Manager of AI and Analytics at IAG, about what happens when a major insurer moves AI from side project to core operating infrastructure. Willem takes us inside IAG’s agentic AI pivot: a shift from isolated proof-of-concepts to established AI products, embedded governance and human-AI operating models built for regulated insurance environments. IAG has launched more AI models in the past two years than in the previous six combined, created a network of 150 Gen AI activators across the business and deployed CASI, an AI claims assistant supporting real customer conversations. But this conversation is not about speed for speed’s sake. It is about the discipline required to make AI in insurance useful, explainable, scalable and safe. At the centre of the discussion is the “messy middle” of insurance: the friction zone between intake and decision. This is where claims, underwriting and service teams manage PDFs, handwritten notes, engineering reports, medical packets, emails and fragmented data. It is also where AI is creating measurable value. Not by replacing human judgement. By giving experts better-structured context, faster. For insurers, the implications are immediate. Claims teams can move from manual triage to AI-supported case assembly. Underwriters can spend less time collecting information and more time applying judgement. Service teams can interpret, summarise and escalate customer issues with greater consistency. Leaders can monitor AI models,…","meta_description":"AI in insurance has crossed a threshold. The question is no longer whether insurers can experiment with artificial intelligence. The question is whether t…","key_points":[],"chapters":[],"topics":[],"duration_seconds":2814,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/scouting-for-growth-4686831/episodes/willem-paling-from-messy-middles-to-autonomous-agents-and-the-race-for-trust-at-scale/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/scouting-for-growth-4686831/willem-paling-from-messy-middles-to-autonomous-agents-and-the-race-for-trust-at-scale.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}