Atfinity’s software includes a powerful AI-driven rule engine that enables banks to rapidly digitize and automate complex business rules and policies without coding. The rule engine is a core component of the end-to-end process orchestration.

Key capabilities of Atfinity’s rule engine include:

– Visual rule modeling using decision tables, allowing business users to define and manage rules
– Support for complex rule patterns and inferencing to handle sophisticated decisioning logic
– Automatic rule extraction from regulations, policy documents, and checklists using AI/NLP
– Dynamic questionnaires and workflows that adapt based on client data and rule outcomes
– Simulation and testing tools to validate rule behavior before deployment
– Centralized repository for storing and versioning rules for transparency and auditability

Atfinity’s rule engine leverages a proprietary rules language called RuLa (Rules Language) to define business logic. RuLa provides an intuitive, Excel-like syntax for specifying rules as decision tables.

Here’s a simple example of a RuLa rule for determining a retail banking customer’s risk rating:

RULE Customer Risk Rating
IF Customer Age < 25 AND Customer Income < 50000 THEN
Risk Rating = “High”
ELSE IF Customer Age >= 25 AND Customer Income >= 50000 THEN
Risk Rating = “Low”
ELSE
Risk Rating = “Medium”
END

RuLa supports more advanced rule patterns like using complex object models, rule chaining, calling external services, and executing custom code. The RuLa rules are parsed and compiled by the rule engine for execution at runtime.

By externalizing rules from core application code using RuLa and the AI-powered rule engine, Atfinity enables banks to rapidly define and automate complex business logic, with the flexibility to adapt rules as regulations and policies evolve – all through configuration rather than coding.