The credit risk team at Mindberg.ai has extensive experience developing a decision engine platform from scratch, implementing strategy sets for the entire credit life cycle (fraud management, application, customer management, collection, and recoveries), and optimizing the platform runtime based on the company’s SLAs.

A decision engine is the wheelhouse of your business where you can do various actions, including but not limited to implementing all your business strategies, doing hundreds of parallel calculations, and setting policy accept/reject rules regarding KYC processes. Therefore, it requires a detailed logging mechanism so that you can analyze what has been done.

Our decision engine is a cloud-native end-to-end platform where power users can define their business strategy in terms of business rules & rule sets comprising simple decisions, decision tables, decision trees, decision gates, and decision sets.

Thanks to its inherent cloud-native architecture, our decision engine can run millions of decisions with unsurpassed performance in line with computing resources that can be increased and decreased on demand by using the pre-defined cloud container policies.

Thanks to its inherent cloud-native architecture, our decision engine can run millions of decisions with unsurpassed performance in line with computing resources that can be increased and decreased on demand by using the pre-defined cloud container policies.