WTCK? – What the Company Knows?

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• Why corporate knowledge is often fragmented, outdated, or hard to find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