In this episode, we interviewed Andreas Vogel - co-founder and CEO of Wisdom Bridge AI, a platform that captures the information locked inside people's minds and turns it into structured industrial ontologies and digital twins organizations can actually use
Andreas holds a PhD in computer science and spent 25 years across Silicon Valley and Europe in technology and product leadership roles at VMware, SAP, Deutsche Telekom, and several startups - he's also an author of multiple books and a frequent speaker on AI, product management, and personal memoirs
His core argument: everyone is obsessed with generating content, but almost nobody asks where the high-quality information comes from - and the last untapped AI data frontier is the knowledge locked inside employees' minds
Key takeaways:
The last untapped AI data frontier is inside people's minds - the most valuable information isn't in SharePoint or Confluence, it's in conversations, experience, and the heads of employees
The bottleneck shifted from model intelligence to organizational intelligence - AI succeeds or fails on the quality of a company's knowledge, not on which model it picks
Interview the whole org, not the loudest voice - AI interviews across engineering, sales, and service built a digital twin that exposed conflicting assumptions before engineering even started
The next 12 months bring AI avatars into dialogue roles - supporting scrum masters, product managers, doctors, and nurses, asking questions as well as answering them
🔗 Connect with Andreas
Who are you and what do you do?
I'm Andreas Vogel, co-founder and CEO of Wisdom Bridge AI. With a PhD in computer science and after 25 years in Silicon Valley and leadership roles at VMware, SAP, Deutsche Telekom, and various startups, I'm now focused on helping organizations capture the information that's locked inside people's minds and turn it into structured, actionable intelligence that AI systems and teams can actually use.
What problem did you see that everyone else was missing?
Everyone is obsessed with generating content using AI, but very few people ask where the high-quality information should come from in the first place. The most valuable information in every company isn't sitting in SharePoint or Confluence - it's in conversations, experience, and the minds of employees. The last untapped AI data frontier is the information locked inside people's minds. If you don't capture that information in a structured way, every AI initiative eventually runs into the same problem: the model is smart, but it is missing critical proprietary information.
The most valuable information in every company isn't sitting in SharePoint or Confluence - it's in conversations, experience, and the minds of employees.
Walk us through one concrete way your work changes what companies actually ship - a real workflow, not the abstract
One customer wanted to redesign part of their industrial product portfolio and the associated processes after receiving new customer requirements. Instead of running months of workshops, we interviewed engineers, product managers, sales teams, service technicians, and manufacturing experts individually using AI. From those interviews we automatically built an industrial ontology - a digital twin of the company's products, processes, constraints, and expertise. That ontology immediately exposed conflicting assumptions and missing dependencies before engineering started. Instead of shipping a product based on whoever spoke loudest in meetings, they shipped one based on the collective knowledge of the organization.
What's the most common thing senior leaders get wrong about AI?
Many executives think AI is primarily a technology project. It isn't. AI succeeds or fails based on the quality of an organization's knowledge, not on which model they choose. Companies spend enormous effort selecting between GPT, Claude, Gemini, or open-source models, while ignoring the fact that none of those systems understand how their own business really works. The bottleneck has shifted from model intelligence to organizational intelligence. Once leaders understand that, their AI priorities change completely.
The bottleneck has shifted from model intelligence to organizational intelligence.
What's in your AI stack? The one tool you rely on every week?
We leverage frontier and open source models running on various hardware and hosted by cloud providers depending on the tasks. Some require low latency, others deep analysis, and we used the most appropriate model for the task at hand. We don't use AI to generate answers - we use it to ask better questions at scale.
What does your work actually look like day to day - the real version, not the headline?
My mornings, from 6am to 9am, are the most productive time. I usually dedicate them to work on the strategy and the product. 9-to-5 is dedicated to customer and partner engagements and the preparation for these meetings. Later in the afternoon, I catch-up with the team. By 7pm I call it day and prepare dinner. Squeezing in a short, high intensity bike ride makes it a special day.
Where is your field in 12 months - one specific prediction?
Within a year, we will see more collaboration between humans in fields beyond programming. AI avatars will be supporting scrum masters, product managers, project leads, engineers, doctors and nurses, and many other professionals. The avatar will engage in a meaningful dialog asking questions as well as providing answers and suggesting actions.
Where should readers find you, and what should they read first?
The best place to find me is on LinkedIn, where I regularly write about industrial AI, information capture, digital twins, and product management. You can also visit WisdomBridge.ai to learn more about our work and request a demo and deeper conversation about use cases relevant to your business.
More from our AI Central Voices series
AI Central Voices is where the AI Central team sits down with the founders, executives, and builders shaping AI - going behind the scenes of how they operate, what they're betting on, and where the industry goes next.
Want to be featured, or have an event you'd like us to cover? Reach out at [email protected]
