Catch up with fast-moving AI, safely
Caught between missing out and getting it wrong — like a deer in headlights, where the light is real, the danger is real, and standing still is not safe either. Move too fast and AI overruns judgment; freeze and the moment passes. There is a sweet spot, and we find it for you.
- •Competitors are already deploying AI.
- •The board is asking for an AI strategy.
- •Domain experts expect AI — but with fear and caution.
- •The window to lead feels like it is closing.
- •Which AI tool should we use?
- •What do we feed it — and what do we protect?
- •How do we know the output is right?
- •How much does it cost — short-term and long-term?
- •What happens to our people?
This could happen to YOU — falling apart, two different ways.
There is a sweet spot — we find it for you.
Pacing disruptive AI
We map how a slow-moving organization keeps pace with fast-moving AI — mindful at every level, from executive vision to employees adopting AI for higher-value work.
Wang & Brandt (2023). The Routledge Companion to Leadership and Change. Routledge.
Readiness, not resistance
Our longitudinal study across an enterprise-wide system rollout found that building readiness for change — not fighting resistance — drives adoption success.
Ash, Wang, Chang & Hubona (2011). Proc. ICIS, Shanghai. · Ray & Wang (2023). The Routledge Companion to Leadership and Change. Routledge.
Right adoption for AI success
Technology adoption is not new to AI. Our peer-reviewed research spans waves — including a cloud-success study that updated DeLone & McLean’s IS Success theory — mapping what drives adoption and what stalls it.
Donovan, Guzman, Adya & Wang (2018). Journal of Information Technology Management.