WTCK? – What the Company Knows? Transistor (https://transistor.fm) https://feeds.transistor.fm/wtck-what-the-company-knows What does a company really know – and what happens when AI tries to use that knowledge? WTCK? – What the Company Knows? explores the intersection of knowledge and artificial intelligence in organizations. Hosts Stephan Ballenweg and Jakub Zavrel look beyond the AI hype to discuss what it takes to turn rapidly evolving technology into value. From fragmented information and hidden expertise to context, trust and the realities of industrial AI, WTCK? examines the challenges that emerge when AI meets complex organizations. Drawing on their experience in enterprise knowledge and AI, Stephan and Jakub combine strategic and technical perspectives, challenge assumptions and explore what works, what doesn’t – and why. Expect informed conversations, practical examples and occasional guests from industry, technology and publishing. © 2026 Stephan Ballenweg, Jakub Zavrel 90250e16-3df3-54ec-a286-fa67d48d395d yes Stephan Ballenweg Jakub Zavrel en Tue, 06 Oct 2026 12:29:17 +0200 Tue, 06 Oct 2026 12:30:14 +0200 https://img.transistorcdn.com/rTfLoItbhAulqVxgXt23KBPKn45IDvzrKTg0Ttp-slw/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83NTIw/NDY1Mjk4ZWYyMWFl/YTUwMTYxYmE0YzI0/MzI2My5wbmc.jpg WTCK? – What the Company Knows? episodic Stephan Ballenweg, Jakub Zavrel What does a company really know – and what happens when AI tries to use that knowledge? WTCK? – What the Company Knows? explores the intersection of knowledge and artificial intelligence in organizations. Hosts Stephan Ballenweg and Jakub Zavrel look beyond the AI hype to discuss what it takes to turn rapidly evolving technology into value. From fragmented information and hidden expertise to context, trust and the realities of industrial AI, WTCK? examines the challenges that emerge when AI meets complex organizations. Drawing on their experience in enterprise knowledge and AI, Stephan and Jakub combine strategic and technical perspectives, challenge assumptions and explore what works, what doesn’t – and why. Expect informed conversations, practical examples and occasional guests from industry, technology and publishing. What does a company really know – and what happens when AI tries to use that knowledge. Enterprise AI, Knowledge Management, Artificial Intelligence Stephan Ballenweg stephan.ballenweg@t-online.de No No AI has a knowledge problem 1 1 AI has a knowledge problem full b87ea415-1e4f-4324-8861-68ba65c10da2 https://share.transistor.fm/s/4ca5c67c In the first episode of WTCK? – What the Company Knows, Stephan Ballenweg and Jakub Zavrel explore a core challenge for enterprise AI: company knowledge is scattered across documents, systems, and people’s heads—and even capable AI models can’t use information they can’t access or reliably retrieve. They discuss why search, company-specific terminology, secure access, and expert evaluation matter as much as the AI model itself. Their practical message: companies don’t need perfect data or infrastructure to begin. Start with a focused goal, connect relevant knowledge, evaluate results with experts, and improve iteratively.

Key topics

  • Why corporate knowledge is often fragmented, outdated, or hard to find
  • Why smarter models alone don’t solve access to proprietary company information
  • The role of search, retrieval, permissions, and company-specific context
  • Why experts are needed to judge whether AI answers are accurate and complete
  • How benchmarks and representative questions can help evaluate results
  • Why capability gains may be a more meaningful measure of ROI than time saved
  • How to start pragmatically without waiting for a perfect data architecture
  • Why enterprise AI is an ongoing effort – not a one-time technical project

Key takeaways

  • Enterprise AI depends on access to relevant knowledge, not just model capability.
  • Expert judgment and evaluation help make AI results more trustworthy.
  • Companies can begin with a focused goal and improve their systems over time.
  • Capability gains may reveal value more clearly than time savings alone.
  • Aligning stakeholders and information needs is part of the work – not an afterthought.Creators & Guests
]]> In the first episode of WTCK? – What the Company Knows, Stephan Ballenweg and Jakub Zavrel explore a core challenge for enterprise AI: company knowledge is scattered across documents, systems, and people’s heads—and even capable AI models can’t use information they can’t access or reliably retrieve. They discuss why search, company-specific terminology, secure access, and expert evaluation matter as much as the AI model itself. Their practical message: companies don’t need perfect data or infrastructure to begin. Start with a focused goal, connect relevant knowledge, evaluate results with experts, and improve iteratively.

Key topics

  • Why corporate knowledge is often fragmented, outdated, or hard to find
  • Why smarter models alone don’t solve access to proprietary company information
  • The role of search, retrieval, permissions, and company-specific context
  • Why experts are needed to judge whether AI answers are accurate and complete
  • How benchmarks and representative questions can help evaluate results
  • Why capability gains may be a more meaningful measure of ROI than time saved
  • How to start pragmatically without waiting for a perfect data architecture
  • Why enterprise AI is an ongoing effort – not a one-time technical project

Key takeaways

  • Enterprise AI depends on access to relevant knowledge, not just model capability.
  • Expert judgment and evaluation help make AI results more trustworthy.
  • Companies can begin with a focused goal and improve their systems over time.
  • Capability gains may reveal value more clearly than time savings alone.
  • Aligning stakeholders and information needs is part of the work – not an afterthought.Creators & Guests
]]> Mon, 05 Oct 2026 18:22:59 +0200 Stephan Ballenweg, Jakub Zavrel Stephan Ballenweg, Jakub Zavrel 1954 In the first episode of WTCK? – What the Company Knows, Stephan Ballenweg and Jakub Zavrel explore a core challenge for enterprise AI: company knowledge is scattered across documents, systems, and people’s heads—and even capable AI models can’t use information they can’t access or reliably retrieve. They discuss why search, company-specific terminology, secure access, and expert evaluation matter as much as the AI model itself. Their practical message: companies don’t need perfect data or infrastructure to begin. Start with a focused goal, connect relevant knowledge, evaluate results with experts, and improve iteratively.

Key topics

  • Why corporate knowledge is often fragmented, outdated, or hard to find
  • Why smarter models alone don’t solve access to proprietary company information
  • The role of search, retrieval, permissions, and company-specific context
  • Why experts are needed to judge whether AI answers are accurate and complete
  • How benchmarks and representative questions can help evaluate results
  • Why capability gains may be a more meaningful measure of ROI than time saved
  • How to start pragmatically without waiting for a perfect data architecture
  • Why enterprise AI is an ongoing effort – not a one-time technical project

Key takeaways

  • Enterprise AI depends on access to relevant knowledge, not just model capability.
  • Expert judgment and evaluation help make AI results more trustworthy.
  • Companies can begin with a focused goal and improve their systems over time.
  • Capability gains may reveal value more clearly than time savings alone.
  • Aligning stakeholders and information needs is part of the work – not an afterthought.Creators & Guests
]]> Enterprise AI, Knowledge Management, Artificial Intelligence No Stephan Ballenweg Jakub Zavrel