Enterprise Use Cases

Real-world implementations of the Policy Enforcement Engine in highly regulated industries. See how FinTech, HealthTech, and Legal AI startups protect their applications.

Policy Violation Levels
Enterprise Framing: Policy violation levels (formerly "WARN/BLOCK")

ALLOW

Output passes all checks, execution deviation risk is low

Risk: 0.0 - 0.5

WARN

Minor policy violation, content sanitized but allowed

Risk: 0.5 - 0.65

SOFT_BLOCK

Moderate policy violation, content replaced with safe fallback

Risk: 0.65 - 0.85

HARD_BLOCK

Critical policy violation, content completely blocked

Risk: 0.85 - 1.0
FinTech - AI-Powered Investment Advisory Platform
Financial Services
WealthGuard AISEC, FINRA compliance required • Risk Level: High

Automated investment advisory chatbot that ensures compliance with financial regulations and protects customer data.

Business Challenge

WealthGuard AI needs to ensure their investment advisory chatbot never provides unlicensed financial advice, never recommends specific securities without disclaimers, never leaks customer financial data, stays within approved advisory scope, and maintains audit trail for regulatory compliance.

Solution Overview

Implement Policy Enforcement Engine with Contractual AI Scope defining general educational information only, strict policy violation levels, and comprehensive audit trail.

Contractual AI Scope enforcement (general education only)
PII detection and protection
Policy violation levels (ALLOW, WARN, SOFT_BLOCK, HARD_BLOCK)
Execution deviation risk analysis
Compliance-ready audit trail
HealthTech - AI-Powered Symptom Checker
Healthcare
HealthCheck AIHIPAA, FDA guidance compliance • Risk Level: Critical

Symptom assessment and triage chatbot that ensures patient safety and HIPAA compliance.

Business Challenge

HealthCheck AI needs to ensure their symptom checker never provides specific medical diagnoses, never recommends prescription medications, never replaces emergency medical care, always includes appropriate medical disclaimers, maintains HIPAA-compliant audit logs, and protects patient health information (PHI).

Solution Overview

Implement Policy Enforcement Engine with Contractual AI Scope defining general health information only, emergency triage integration, and HIPAA-compliant audit trail.

Contractual AI Scope enforcement (general health information only)
PHI detection and protection
Emergency keyword detection
Medical disclaimer enforcement
HIPAA-compliant audit trail
Legal AI - Contract Analysis Assistant
Legal Services
LegalAssist AIState bar regulations, attorney-client privilege • Risk Level: High

Contract review and legal document analysis that prevents unauthorized practice of law and protects attorney-client privilege.

Business Challenge

LegalAssist AI needs to ensure their contract analyzer never provides specific legal advice, never creates attorney-client relationships, never interprets laws for specific jurisdictions, always includes appropriate legal disclaimers, maintains privilege-protected audit logs, and prevents unauthorized practice of law (UPL).

Solution Overview

Implement Policy Enforcement Engine with Contractual AI Scope defining general contract information only, UPL violation detection, and privilege-protected audit trail.

Contractual AI Scope enforcement (general information only)
UPL violation detection
Jurisdiction-specific safeguards
Attorney-client privilege protection
Privilege-protected audit trail
Cross-Industry Best Practices
Recommended thresholds and patterns for enterprise deployments

Recommended Policy Violation Thresholds by Industry

IndustryWARNSOFT_BLOCKHARD_BLOCK
FinTech0.60.750.9
HealthTech0.50.650.8
Legal AI0.550.70.85

Audit Trail Best Practices

Required Fields

  • • Timestamp (ISO 8601)
  • • User/Client identifier (encrypted)
  • • Policy violation level
  • • Execution deviation risk score
  • • Security incident flag

Retention Periods

  • • FinTech: 7 years (SEC requirement)
  • • HealthTech: 6 years (HIPAA requirement)
  • • Legal AI: Indefinite (attorney-client privilege)

Ready to Implement?

Get started with the Policy Enforcement Engine and protect your AI applications with enterprise-grade validation.