How Experio Labs Solves Consulting's Core Problem w/ Daniel Cohen-Dumani | Imagine AI Live 25 | E131

Imagine AI Podcast

What if consultants could finally recall, reuse, and repurpose all the knowledge buried in their firm? Daniel Cohen-Dumani, founder and CEO of Experio Labs, is building the operating system to make that possible—with the power of agentic AI and industry-specific intelligence. In this episode, Daniel shares how Experio Labs was born from three decades of consulting pain—solving the problems of lost deliverables, disconnected teams, and tribal knowledge with an AI platform designed specifically for professional services. We talk about how their system ingests content across SharePoint, Slack, CRMs, and email—and transforms it into a searchable, structured knowledge graph that consultants can use to generate proposals, find experts, and onboard faster. Daniel also shares how AI helped his small team build the MVP in under 7 months and what it means to “equalize” junior consultants with embedded expertise. If you work in consulting or B2B services, this is the future of operational knowledge. (0:00) – Welcome & introduction to Experio Labs (0:23) – Daniel’s three decades in consulting (1:13) – How Experio was built in 7 months (1:44) – Use cases: proposals, case studies, expert search (3:11) – How Experio ingests and links data (4:50) – What AI made possible that wasn’t 2 years ago (5:49) – Tailoring AI for the consulting industry (7:04) – Building the new OS for consulting firms (8:53) – Hybrid deployment & client data privacy (9:53) – Exploring outcome-based pricing (10:37) – Final thoughts and where to learn more