AI adoption: definition, drivers and measurement
Why the Term Matters
Many companies introduce AI tools and measure success by the introduction, not the usage. That produces solutions nobody uses. Adoption is the more honest measure. We drive it by starting at the real bottleneck and shaping the prototype with the future users. A solution that noticeably helps and sits in the flow of work gets used without having to push for it.
When It Is Relevant
- An AI solution was introduced but is little used.
- Success should be measured by real usage, not the introduction.
- The effect in daily work should be observed over time.
- Several solutions compete and actual usage should decide.
When Not
When a solution was only just introduced, it is too early to assess adoption, it needs time in daily work. And when the underlying use case was never tested, low usage is not an adoption problem but a sign that the case must be sharpened anew.
Industries That Use It
- Retail banking: observe whether advisors really use an assistant in customer conversations.
- Software companies: measure whether developers and support use an AI tool in the flow of work.
- Logistics centres: check whether dispatch and warehouse adopt a solution in shift operation.
- Clinics: determine whether a documentation assistant is carried by nurses and doctors in daily work.
Typical Use Cases
- The observation of actual usage over the first weeks.
- The comparison of introduction and lived usage.
- The recognition of hurdles that slow usage.
- The adjustment of a solution to the real flow of work.
- The decision which of several solutions stays.
Decision Guide
| Signal | AI adoption in view | Alternative |
|---|---|---|
| Solution introduced, barely used | analyse adoption | re-check the use case |
| Success should be measured truly | usage instead of introduction | avoid pure rollout numbers |
| Just introduced | wait a bit | give it time in daily work |
| Use case untested | test a prototype first | measure adoption afterwards |
Example
A bank introduces an assistant for advisory conversations and finds it is barely used. The analysis shows it does not sit in the flow of work. After an adjustment that advisors help shape on the prototype, usage rises. This describes the approach, not an asserted metric.
Service Connection
Adoption is considered during AI implementation and driven by AI change management and a prototype shaped in the AI workshop.
Sources
This framing describes common practice for observing AI adoption. Organisational and legal details depend on the concrete company and the chosen solution and should be checked there.