Replace manually maintained rule-based systems with dynamic policy governance. The CTGT Policy Engine automatically applies jurisdictional compliance, from FMLA to global leave regulations, without requiring constant manual updates.
The current approach (lawyers manually populating decision trees for each jurisdiction) creates exponential complexity as you expand. Every new country multiplies maintenance burden.
The Policy Engine transforms your compliance knowledge base into active governance without requiring engineering resources for each new jurisdiction.
Each use case can stand alone as a POC or be combined as part of a broader deployment strategy.
Replace the decision tree with policy-governed responses. User asks about FMLA in California, and the engine applies California-specific policies to ensure the answer is accurate and complete.
Transform static policy documents into enforcement. When an AI-driven workflow deviates from procedure, CTGT flags the discrepancy and suggests the correct action.
Apply policy-driven extraction to complex documents. Carrier-specific policies ensure accurate data capture from health plan documents, timecards, and forms regardless of format.
Integrate as an Outlook extension. As employees compose responses to HR queries, the engine checks against applicable policies and flags issues before send.
The Policy Engine doesn't just store rules; it understands relationships. When California PDL and CFRA overlap with federal FMLA, the graph captures these connections, enabling intelligent policy resolution without contradictions.
When policies conflict, the engine uses a weighted vector approach that considers criticality, context, and intent. Federal regulations take precedence, but state-specific requirements are additive, not overridden.
Unlike probabilistic guardrails that can only say "blocked" or "allowed," CTGT traces every decision through the policy graph. You can see exactly which policies were evaluated and why the final response was generated.
The Policy Engine sits between your LLM (Azure, Bedrock, OpenAI) and the end user. No model modifications required; just route output through CTGT and get governed responses back.
Let's identify a specific jurisdiction or use case for a focused POC. We'll demonstrate value within weeks, with clear success criteria defined upfront.