Plumery introduces AI Fabric for AI-ready core banking

By Vriti Gothi

Plumery has launched AI Fabric, a new platform designed to help financial institutions operationalise artificial intelligence at scale by addressing longstanding data and integration constraints within core banking environments.

Announced on 14 January in Amsterdam, the solution provides an AI-ready foundation for AI- and generative AI-assisted digital banking, built on an event-driven data mesh architecture. Plumery said the platform is intended to give banks and other financial institutions a standardised way to connect AI models and agents to banking data, without relying on bespoke, point-to-point integrations.

Operationalising AI has proved challenging for many institutions, as data is often fragmented across legacy core systems, digital channels and custom integrations. Each new AI initiative typically requires separate integration work, security reviews and governance processes, increasing costs and slowing deployment. At the same time, regulatory scrutiny around explainability, auditability and model risk management has intensified, making ad hoc AI implementations difficult to scale across the organisation.

Plumery’s AI Fabric aims to address these issues by exposing domain-oriented banking events and data streams in a consistent and governed manner across products and customer journeys. By separating systems of record from systems of engagement and intelligence, the platform is designed to allow institutions to introduce, replace or scale AI capabilities as models and vendors evolve, without repeated re-architecting.

According to the company, moving away from point-to-point integrations towards an API-first, event-driven architecture can reduce operational complexity and technical debt, while improving data lineage and control. This, in turn, is intended to support regulatory compliance by making AI-driven decisions easier to explain and audit.

“Financial institutions are clear about what they need from AI. They want real production use cases that improve customer experience and operations, but they will not compromise on governance, security, or control,” said Ben Goldin, founder and chief executive of Plumery. “Our AI Fabric gives them a standard, bank-grade way to allow AI use within their tools and data without rebuilding integrations for every model.”

The platform is also positioned to support real-time decision-making by enabling AI systems to act on live banking events rather than batch-based data snapshots. This approach is intended to support in-journey and in-context use cases, such as customer interactions, operational interventions and risk assessments.

Plumery said AI Fabric can be adopted incrementally, allowing institutions to establish an AI-ready data foundation even if they are not yet deploying AI in production. As competitive and regulatory pressures around AI adoption increase, the company positions the platform as a way for banks to prepare for future AI use cases while maintaining control over data, governance and change.