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The score is based on two factors detected across the assessed environment:
  • Tool Usage Volume: how many distinct AI applications are in use. Detecting any AI tool starts the count, and more than two, then more than five, each raise the exposure.
  • Adoption Rate: the share of users using AI tools. Adoption above 5%, 25%, and 50% of users each raise the exposure.
Tool Usage Volume carries the heavier weight of the two. The combined result is normalized to a 0-100 scale, where a higher score means greater AI exposure.
Once calculated, the AI Exposure Score is normalized (0-100 scale) and classified into four risk levels: