Plumery has recently introduced AI Fabric, a technology aimed at creating an AI-ready infrastructure for enhanced digital banking services.

Redefining Integration in Financial Institutions

Developed on an event-driven data mesh architecture, Plumery’s solution enables financial institutions to connect AI and generative models seamlessly with their existing banking data without the need for custom integrations. This approach simplifies the process of integrating AI capabilities as needed.

This new approach shifts from traditional point-to-point connections to a more agile API-first model, driving innovation within these organizations while also reducing operational complexity and technical debt. By doing so, financial institutions can remain adaptable in response to changing market conditions without compromising on predictability.

Enhancing Decision-Making and Compliance

The clarity provided by AI Fabric includes detailed data lineage, clear ownership, and control over the data, which helps organizations justify their decisions, manage model risk more effectively, and comply with regulatory requirements. This transparency is particularly valuable as the use of AI becomes more pervasive in financial services.

Moreover, the platform’s ability to separate systems of record from those of engagement and intelligence allows for long-term flexibility in how data is utilized. This separation minimizes redundant integrations, thereby reducing complexity and lowering costs associated with changes and upgrades.

A Secure Path Forward

Even institutions that are not yet ready to fully integrate AI can use Plumery’s AI Fabric as a foundational step. As their readiness increases or priorities shift, they can build on this framework securely and confidently. According to Ben Goldin, the Founder and CEO of Plumery, AI Fabric provides a standardized method for financial institutions to operationalize AI without reconstructing integrations every time a new model is deployed.

This event-driven data mesh design streamlines the flow of banking data, improving its production, sharing, and consumption. By optimizing these processes rather than layering additional complexity on fragmented systems, Plumery aims to make AI adoption more efficient and effective for financial institutions.