Failed AI Projects: The Pattern Nobody Sees | CEO & Co-Founder Mathangi Sri Ramachandran Breaks it

About this episode

In this episode , a last-mile AI company building outcome-driven AI solutions for enterprises. They discuss India as a voice-first market, the need for AI to reduce the gap between the “haves and have-nots” in areas like banking and healthcare, and why many AI projects fail due to lack of empathy for end-user workflows rather than technical limits. Mathangi contrasts research papers vs patents, shares how Yuverse applies LLMs, OCR, and agentic orchestration to transform end-to-end enterprise processes like loan and document verification (including messy, handwritten, local-language documents), and explains India-specific conversational nuances for voice bots. She also advises professionals to build breadth—problem-to-outcome skills—over narrow specialization.