AI reviews data usage events for privacy risk, alerts your team, and logs the findings for audits.
It branches. Exactly one path is taken; runs once per each data usage event.
Pattern: Exclusive Choice (4) · Simple Merge (5) · Multiple Instances with a priori Run-Time Knowledge (14)
Your team is supposed to catch every risky use of customer data, but reviewing usage logs by hand is slow and something always slips through. When a regulator or auditor asks for proof, pulling together the paper trail is a scramble.
Privacy officers and legal or compliance teams at companies handling regulated customer data.
Your compliance team gets flagged the moment a data usage event looks risky, with a full record kept for your next audit.
The hard question is not how to build it. It is whether this is the right thing to build first.
That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.
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