Innovation that powers smart banking

Uses LLMs on AWS Bedrock to extract structured data from financial documents, such as salary slips and employer statements, using zero-shot prompting without training data. It replaces legacy rule-based extraction and achieves over 99% column-level extraction accuracy.

AI supports our engineering process, from technical design and code generation to testing and business rule configuration in Orbis, Ohpen’s business rules engine. It helps accelerate feature delivery and client onboarding, while every change passes through established review, testing and compliance gates.

Argus helps Ohpen teams investigate production issues by combining insights from platform data, application logs and operational systems. It accelerates investigation and issue resolution while keeping specialists in control.

Internal AI-assisted development system that generates, refactors and tests code across Ohpen repositories, with automated guardrails, code review and mandatory human approval.

iWoud monitors data extraction, identifies opportunities for improvement and proposes configuration changes for review and implementation by Ohpen specialists.

Prospero translates lender requirements written in natural language into a proposed configuration plan, flagging limitations or contradictions to help teams define changes faster and more accurately.

AI assistant for mortgage brokers that answers complex questions about lender policies and business rules, helping brokers assess case eligibility and find suitable lenders faster.

The BO Mutation Agent lets users make changes to live loan dossiers using plain language, from term extensions and product switches to due-date changes. Built on MCP, it connects AI agents to the loan servicing API with authentication and full audit logging.

Minerva generates back-office product configurations from external inputs such as product catalogues, reducing the effort required to onboard new products and clients.