{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Learning Curve","title":"AI invoice automation: What we learned on a pig farm","html":"","width":"100%","height":180,"duration":2025,"description":"A bar conversation. A handshake. A three-week AI proof of concept on a pig farm. Not every AI project starts with a formal brief, and some of the best ones don't.\nIn this episode, Matt Sharp and Holly Fake sit down with Flexion software engineer Senai Mesfin to walk through the AI invoice automation proof of concept the team built for Hanor, a pork producer operating across six US states. Using AWS Bedrock and machine learning, the team built an AI invoice processing solution from scratch, and by the time the demo was done, the accuracy was sitting at 97%. \nHanor was impressed, but what they really wanted was someone to rebuild their entire data landscape.\nSenai speaks about why that pivot made sense, what it actually takes to get your data foundation into a shape where AI can do anything useful with it, and the personal AI tools he builds outside of work – a side of the story that says a lot about where practical AI is heading.\nWhat began as a three-week brief became a five-month data engineering engagement and lasting client relationship. For organizations planning their first AI project, the Hanor story is a reminder that the data problem almost always comes before the AI solution.\nSubscribe to the Learning Curve for real conversations about AI at work, AI implementation, and what it actually looks like to build with AI inside a technology company.","thumbnail_url":"https://img.transistorcdn.com/Id5sexIY2PzW_KAC-E5HwLHHwwCEp3KaFjCPvhhr-Qk/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jYjc1/ODMwMmVkNDQ4ODk1/OGM4NmY3ZDAyNWZl/NDVkNi5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}