Rule + causal separation
Questions route into interpretable rule discovery or assumption-aware causal inference.
Veriflow separates pattern discovery from causal reasoning, grounds both in governed evidence, and verifies outputs before they become answers people can actually trust.
Questions route into interpretable rule discovery or assumption-aware causal inference.
CKAN-backed evidence retrieval, snapshotting, provenance, and verification are first-class parts of the system.
Users stay in control of datasets, approvals, policies, and execution boundaries.