AI Series Part 3: Time to start building - Prototyping the AI enhanced future
A picture of Alex who is the one being interviewed in this article

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Today we have the pleasure of hearing an opinion piece from our Chief Creative Officer and &why partner Alexander Dohr: Concrete ideas to start prototyping your AI-enhanced future.

“We're holding off on AI until all uncertainties are resolved.”

Over the past few months, we've often heard the misconception that AI will soon become reliable, production-ready, and risk-free. This is far from the truth -- even tech giants like Microsoft and Google are grappling with it. If we continue to wait for a perfect AI, we may never get there.

When the AI craze began last year, we understood that demystifying AI required taking it out of the lab and quite literally getting our hands dirty.

It’s time for all of us to start imagining and building AI enhancers.

Although we've made progress, there's much more to be done. In 2024, AI will enhance our user experiences and fill gaps that were previously difficult or expensive to bridge. However, it also poses significant risks and challenges. The uncertainty of AI's workings contradicts our typical aversion to risk - it's unsettling to not fully comprehend how models function.

We believe that, in addition to regulation such as the EU AI Act, we now need a cycle of applied learning, creation and improvement in all organizations.

In this article, I've compiled examples to demonstrate how much is achievable and how AI has rendered previously impossible ideas feasible. Consider this an invitation to start building with us.

Education (think about advanced training and lifelong learning too)

  1. Personalized Learning: We’re currently testing personalized learning buddies in our projects to make complex content accessible across a range of different target groups. Through text, design and conversation.
  2. Interactive Content: Platforms like NOLEJ use Gen-AI to produce interactive video capsules for specific topics, making e-learning more engaging and accessible.
  3. Language Learning: Duolingo employs GPT to correct grammar and create test items, enhancing second language writing skills.
  4. Virtual Buddies: Think of a work buddy trained by you to assist you. Searching knowledge bases, proofing an idea or brainstorming a strategy to improve your output and most importantly your work experience.

Customer Experience

  1. Virtual Experts: Not your average support chatbot but specialized experts to provide a personal experience. A place to ask the questions you don’t dare to ask. Just think about buying a solar system, funding in construction or a B Corp certification.
  2. Support Bots: I don’t know anyone who loves a support chat bot. So it’s time to change that and improve first-responses and on-demand enquiries using Gen-AI. Think of a support bot that reacts to your emotions and can seamlessly switch into upselling or consulting you.
  3. Analysis & Improvement: Gather your customer input and easily analyze unstructured data to find new needs, sentiments and see where improvement is necessary.


  1. Talking to history: The Orsay museum in Paris has made an AI version of Van Gogh, trained on his writing and thinking accessible to visitors. It has made some funny and unrealistic comments - next to a lot of good ones. And more than anything it has increased engagement and interest.


  1. Clinical Documentation: Gen-AI helps synthesize care coordination notes and clinical orders in real time, streamlining documentation processes and reducing manual errors.
  2. Second Opinions: Gen-AI can analyze a patient's history and new data in tandem with doctors providing a second opinion for doctors and scrutinizing decisions made under pressure.

To stress again, these ideas are already in the proof of concept phase or out there pushing the envelope of what’s possible.

So here’s my plea: Let’s start building AI-enhanced experiences as proofs of concepts, ideas, and prototypes. And let’s learn along the way and shape the journey of AI. Get in touch if this article made you think - we’re ready to start building.

Thanks for reading! What's your take on AI? And whats the use, if any, you are doing of it within your profession? Let us know in the comments!