2009
Ohpen founded
Built to bring core banking technology to the cloud.
Driving continuous change since 2009. Now advancing banking with AI.
Since 2009, Ohpen has continuously evolved its technology to solve new challenges in financial services.
Our architecture is designed to make AI easier to integrate into financial processes.
#1: The context AI agents need to act
Ohpen’s unified data model gives AI agents consistent context across the platform, while MCP provides a standardised way to access and work with that context.
#2: The capabilities AI agents need to execute
Ohpen’s 300+ APIs give authorised agents access to platform capabilities, allowing them to retrieve information, initiate actions and interact with banking processes.
#3: The real-time signals AI agents need to respond
More than 850 platform events provide real-time signals as activity happens, enabling agents to respond to changes and trigger the appropriate workflows and actions.
#4: The control AI agents need to operate responsibly
Structured audit trails capture actions and changes across the platform, providing the traceability and oversight required when AI agents interact with financial processes.
Technology alone doesn’t create meaningful innovation. Ohpen’s Transformation Team brings together AI, engineering and banking expertise to turn new capabilities into practical solutions for our clients.
Develop models, evaluation methods and AI capabilities.
Integrate AI into secure, scalable platform workflows.
Bring knowledge of financial products and processes.
Connect innovation to real client needs and use cases.
See how Ohpen is applying and developing AI across our technology and operations.
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 above 99% column-level extraction performance.
AI supports our engineering process from technical design and code generation to testing, business rules and self-service configuration in Orbis, Ohpen’s business rules engine. This helps accelerate feature delivery and client onboarding while every change still 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.
iWoud monitors data extraction, identifies opportunities for improvement and proposes configuration changes for review and implementation by Ohpen specialists.
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.
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.
Explore how Ohpen combines modern banking technology, deep domain expertise and AI innovation to help you keep evolving.