Oliver Scherenberg

Lethe GmbH

CFO and Chief Legal and Compliance Officer

VON HAVE FEY Rechtsanwälte

Of Counsel (attorney in a passive role)

SCHERENBERG LEGAL & LICENSING

German law firm with a focus on the monetization of intellectual property rights, web3 and generative AI.

Founder and IP Licensing Counsel

WEB3LEX

Award-winning international online knowledge base for web3 and AI legal and tax topics and home of the international #lawyers4web3 network. 

Browse our knowledge base with an AI assistant for the legal answers you are looking for in the areas of web3 and AI (currently testing, published soon).

WEB3LEX is a virtual law firm, which puts you in touch with web3 legal and tax experts from over 60 jurisdictions. Book your meeting through the platform and pre-pay with credit card or PayPal (currently running a pilot on this feature). 

Want to have an immersive meeting with your WEB3LEX lawyer? No problem, come visit our Virtual Office with your fancy avatar.

- Winner of 1 golden and 3 bronze nails at the 2023 creative festival of Art Directors Club.
- Winner of 4 Red Dot Awards (among one "Best of the Best") 2023.
- Short-listed for European Metaverse Awards 2023.

Founder

DRYMSTRYM TV GmbH

Multi-Channel-Network with a German broadcasting license. Are you running a live streaming or SmartTV channel and require a license? We can legalize your channel by granting you a sub-license (approved by the media regulators).

Co-Founder and Managing Director

The Orthocorp Ltd.

web3 voxel game and Metaverse. An innovative experiment on the Ethereum Blockchain. Doomed, but what isn't?

Orthosigliere (The Legal Guy)

Sisvel Group

General Counsel Legal and Business

Preu Bohlig & Partner

Partner

Unverzagt von Have

Associate Partner

Freshfields Bruckhaus Deringer

Associate

Licensing, web3 and Media Law.

Picture courtesy of Rainer Hosch (www.rainerhosch.com), 2022.

AI Strategy Pioneer & Innovation Catalyst | Transforming businesses with AI-driven strategies and digital innovation

Most AI investments fail — and not because of the technology.

They fail because we keep deploying sophisticated AI to unprepared humans. Then we measure "adoption" and wonder why the ROI never shows up.

I lead AI Capability globally at Capgemini Invent. My team and I are building what I call Human-AI Chemistry — the hard work of making sure people and systems are actually ready for each other before we hit deploy.

What does that mean in practice?
→ Stop renting tools. Start building Engines that compound value.
→ Stop measuring adoption. Start measuring Cognitive Load, Stress, and Trust.
→ Stop chasing collaboration. Start engineering fusion.

This isn't theory. We're testing it, breaking it, and scaling what works — inside Capgemini and with clients who are done pretending.

33,000+ people follow along. 
If you're serious about making AI actually work, welcome.

Bora Ger

Your AI pilot hit 𝟵𝟮% 𝘀𝘂𝗰𝗰𝗲𝘀𝘀 with volunteers.

Your enterprise rollout just hit 𝟲𝟴% 𝗳𝗮𝗶𝗹𝘂𝗿𝗲.

Same technology. 
Same company. 
What changed?

The Pilot Paradox reveals something critical about how we measure AI adoption. 
Organizations track sentiment when they should track Chemistry.

Sentiment: "Do people like it?"
Chemistry: "Does it actually work?"

The difference determines everything.

Right now, your dashboard probably shows green. 

• Login rates climbing. 
• User sentiment positive. 
• Adoption curves trending up.

But can you measure the silent abandonment happening underneath?

When teams stop using AI tools for actual work and start using them for show, the metrics lie. 
Value evaporates while the numbers look healthy.

This is the Dashboard of Decay.

Human-AI Chemistry is an engineering problem, not a training problem. 

It requires measuring four critical performance gates:

𝗖𝗼𝗴𝗻𝗶𝘁𝗶𝘃𝗲 𝗟𝗼𝗮𝗱: Is the tool releasing mental bandwidth or consuming it?

𝗦𝘁𝗿𝗲𝘀𝘀 𝗙𝗿𝗶𝗰𝘁𝗶𝗼𝗻: Is friction compounding? Five failure modes create quadratic complexity: when people don't trust the output, when it conflicts with their identity, when it disrupts existing processes, when teams resist adoption, when technical debt accumulates.

𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲: Is output calibrated for measurable performance standards (ISO 9241)?

𝗧𝗿𝘂𝘀𝘁: Are users willing to let AI take over cognitive load? You don't trust. You don't scale.

These aren't mere soft skills to develop. 
They're hard metrics to engineer.

The organizations winning at AI have training programs scoped for actual needs.

The Chemistry Index closes that gap between what you train and what you need.

What would your AI strategy look like if you measured actual performance instead of perceived satisfaction?

Global AI Upskilling Lead | Creator of the Human-AI Chemistry Index | Chief AI Strategist @ Global AI Lab: Turning Future Signals into Sovereign Assets

What was, will be; what was done before, will be done again. There is nothing new under the sun.

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Oliver Scherenberg

Bora Ger

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Bora Ger

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