The Hidden Complexity Behind Scaling Knowledge in Science-Driven Organisations – with Mavic AI

Everybody wants AI because everyone else is doing it. But very few organisations are asking a more important question: how do you scale knowledge, expertise, and decision-making as your business grows? In this podcast episode of The Digital Chemical Playbook, Florian Brunet sits down Jess Tang, Founder & CEO of Mavic AI, to unpack the hidden complexity behind AI adoption, why traditional knowledge systems fail at scale, and how leaders can prepare for the next wave of organisational transformation. Jess Tang is the Founder & CEO of Mavic AI. Drawing on her experience across global organisations including Johnson & Johnson, Meta, and TikTok, she now helps enterprises scale expertise, preserve institutional knowledge, and unlock the value hidden within their organisations through AI. In this conversation, we discuss: 00:00 Meet Jess Tang: From J&J to AI Startup Founder 03:06 Why Digital Marketing Changed Everything 06:29 What Meta & TikTok Taught Me About Innovation 08:40 Inside B2B Chemical Marketing Complexity 12:27 Why Most B2B Marketing Teams Struggle With Data 17:47 The Problem That Led to Building Mavic AI 21:01 Corporate vs Startup Life 24:01 AI Governance: The Conversation Most Companies Ignore 27:43 The AI Adoption Framework Leaders Are Quietly Starting to Use (AI Agents & Scaling Expertise) 34:00 AI, Business & the New Economic Shift 35:42 What Leaders Should Be Preparing For Next 📺 Subscribe for more conversations on AI, digital transformation, innovation, and growth in science-driven industries. 👍 Like, comment, and share your thoughts: What is the biggest challenge your organisation faces when scaling knowledge and expertise? Follow The Digital Chemical Playbook: ◼️ Spotify: https://open.spotify.com/show/6Kk335k... ◼️ Apple podcast: https://podcasts.apple.com/us/podcast... ◼️ Amazon music: https://music.amazon.com/podcasts/0cb... ◼️ Follow DKSH Performance Materials LinkedIn page:   / performance-materials