AI Meets Standards: A Prototype for Exploration

I’ve prepared a small stand-alone prototype to explore how an AI-powered tool could support technically complex subject areas. Standards came to mind.

This prototype simulates a simple early-stage requirements session for a wearable ski device, a concept inspired by my own love of the sport. You describe what you're building, and the AI Agent tries to match your input to relevant technical standards.

Try using keywords like:

wearable and portable
lithium battery
usability and user interface

You can ask follow-up questions, such as those related to safety, wireless, cold weather conditions, water resistance, IP ratings, or EMC, to simulate how an AI assistant might guide users in real time. It’s a basic simulation, but it helped me think about how AI could make technical knowledge a bit more accessible. And how even a small tool like this could support learning and discovery in the right context.

For further information you can view the bief case study and Business Analysis approach (PDF).

Step 1 - Describe your project

What are you building? Describe it here and I’ll suggest relevant standards tailored to your initiative.

Relevant standards will appear here.

Step 2 - Here to help with any questions

Need more guidance? Ask follow‑up questions and I’ll offer further direction.

You'll see my suggestions here.

From Prototype to Practice: What Still Needs Solving?

While this prototype is far from perfect, it doesn’t include API integrations or access to actual standards databases, it does raise important questions about how we verify the accuracy of AI-generated information. As businesses explore similar tools, it’s essential to consider issues like data reliability, source transparency, and the potential risks of over-reliance on AI in technical domains