We often celebrate AI success with the number of AI deployments to production. But do we measure the adoption? Because it is adoption that drives the outcome.
Deployment is simply a technical milestone; adoption is an organizational change where people, processes, and governance align to create measurable value at scale.
Before deploying AI solutions, we need AI literacy, clear AI governance, and AI embedded into users’ processes.
Without having a clear understanding of adoption approaches, we will continue to see:
- Bring your own AI (BYOAI) or Shadow AI – Business teams will continue to experiment with shiny new tools, but without clear governance and measurement, it will simply increase the deployment count and will undermine sustainable value and, over time, lose trust.
- Leadership incentives pilots and launches to boast the progress, but the hard work of integration, risk control, process redesign, and workforce enablement comes later, and by then, we might be left with a “digital graveyard”, or shall I say “AI graveyard”.
Thinking Space 