Inference Engine
The component of an AI system (often in rule-based or expert systems) that applies a knowledge base to input data to draw conclusions.
A software module - rule engine or logic processor - that executes encoded business rules or expert-system logic. In hybrid AI stacks, the inference engine may orchestrate calls to statistical models, enforce policy checks, and aggregate multi-source inputs. Governance must manage rule-versioning, rule-approval workflows, and compatibility between rule logic and statistical components.
An insurance underwriting platform uses Drools (a rule-engine) to evaluate policy rules (age limits, risk categories). When new regulations arrive, actuaries update rule files, which are reviewed in a staging branch and automatically deployed to the production inference engine after passing compliance tests.

We help you find answers
What problem does Enzai solve?
Enzai provides enterprise-grade infrastructure to manage AI risk and compliance. It creates a centralized system of record where AI systems, models, datasets, and governance decisions are documented, assessed, and auditable.
Who is Enzai built for?
How is Enzai different from other governance tools?
Can we start if we have no existing AI governance process?
Does AI governance slow down innovation?
How does Enzai stay aligned with evolving AI regulations?
Research, insights, and updates
Empower your organization to adopt, govern, and monitor AI with enterprise-grade confidence. Built for regulated organizations operating at scale.





