Auto Enforce captures field scenarios, scores them against your procedure and remedy library with explainable rule-based intelligence, and learns from human review.
Guided multi-step wizard converts real-world enforcement events into normalized, machine-readable attributes.
Weighted attribute matching, eligibility filters, and confidence — every recommendation is fully explainable.
Versioned procedures and citations linked to scenario types so policy chiefs and litigators stay aligned.
Track matched, review, and unmatched rates. Surface recurring policy gaps in real time.
Approve, override, or escalate. Every decision becomes labeled training data for future ML models.
Field agents, policy chiefs, litigators and admins each see what they need — protected by RLS.
Demo accounts (one per role) are seeded. Password for all: Demo1234!