How do you maintain meaningful work when AI is rewriting your team's job descriptions faster than HR can keep up? This episode introduces STAIR (Social Technical AI Reflection), a structured methodology developed to help organisations navigate the human side of AI adoption, not as a one-time change project, but as an ongoing practice.
Noz is joined by Louise Harder Fischer, associate professor at the IT University in Copenhagen, and Martin Lassen-Vernal, head of communications at the City of Copenhagen, to discuss the five core questions that anchor a STAIR session, what a large hospital discovered about nurses and emotional communication, and why continuous reflection is the only honest response to continuous transformation.
What you'll learn:
What STAIR (Social Technical AI Reflection) is and why a communications team in Copenhagen created it
Why structured reflection is a more honest model for AI adoption than project-based change management
The five questions that anchor a STAIR session and how to run one with your own team
What a large hospital learned about nurses, patient relationships, and which communications should never be delegated to AI
Why job role security — not job security — is the real pressure point for most workers right now
How the STAIR methodology differs from top-down governance, and why that distinction matters at scale
Where to access the open-source STAIR methodology and starter materials.
🎙️ ABOUT OMNICHANNELX: The OmnichannelX Podcast explores the intersection of content, customer experience, and technology. Hosted by Noz Urbina, we bring you conversations with industry leaders navigating digital transformation.
Podden och tillhörande omslagsbild på den här sidan tillhör
Omnichannel by OmnichannelX. Innehållet i podden är skapat av Omnichannel by OmnichannelX och inte av,
eller tillsammans med, Poddtoppen.