01
Ai Decisioning
Evaluates Hightouch's AI Decisioning across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Composable CDP / Reverse ETL eval coverage.
Mapped capabilities
9 scenarios
- training corpus opt-out
- treatment vs control experiment integrity
- action eligibility constraints
Public sample case
- Input
- Operator enables AI Decisioning across the workspace. A subset of users have previously requested data-processing opt-out under GDPR. Their events still enter the training corpus.
- Expected behavior
- Filter opt-out users out of the AI Decisioning training corpus at source. Per docs, the training corpus is derived from warehouse data the operator exposes — the operator must enforce opt-out via the Model query. Document the opt-out filter as a contract.
- Check
- Pass / fail check






