Plumery launches AI Fabric to help financial institutions operationalise AI faster
Plumery, a digital banking development platform for customer-centric banking, today released AI Fabric, which creates an artificial intelligence (AI)-ready foundation for AI-assisted digital banking.
Based on an event-driven data mesh, the new solution gives financial institutions a standardised way to connect AI and generative AI (GenAI) models/agents to banking data, eliminating the need for bespoke system integrations. AI Fabric moves institutions away from brittle point-to-point architectures towards an event-driven, API-first architecture that scales with innovation.
Most financial institutions struggle to operationalise AI because their data is fragmented across legacy cores, channels, and point-to-point integrations. Each new AI pilot can require fresh plumbing, security reviews, and governance work, which delays time-to-value and increases risk. In addition, under increasing regulatory pressure, institutions are required to explain, audit, and govern AI decisions. Together, these factors make ad-hoc approaches to AI difficult to scale.
Plumery’s AI Fabric enables institutions to plug in and swap AI capabilities as the ecosystem evolves. It exposes high-quality, domain-oriented banking events and data streams in a consistent, governed, and reusable way – across products, channels, and customer journeys. Importantly, the platform separates systems of record from systems of engagement and intelligence, giving financial institution long-term agility instead of short-lived AI experiments.
By reducing point-to-point integrations and one-off data pipelines, an institution can lessen operational complexity and technical debt. This makes change cheaper, safer, and more predictable. Additionally, having clear data lineage, ownership, and control makes it easier to explain decisions, manage model risk, and satisfy regulators – reducing compliance friction as AI adoption grows.
Ben Goldin, Founder and CEO of Plumery, said: “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. 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 event-driven data mesh architecture improves the process by changing how banking data is produced, shared, and consumed, rather than adding another AI layer on top of fragmented systems.”
In today’s fast-changing world, financial institutions need an AI foundation that absorbs change instead of amplifying it. With AI Fabric, institutions can experiment, deploy, and evolve AI-assisted use cases incrementally without re-architecting every time a model, vendor, or requirement changes.
Additionally, operational, customer, and risk decisions can be powered by live banking events rather than delayed, batch-based snapshots. This enables AI to assist where it matters most: in-journey, in-context, and in-the-moment.
Even financial institutions not yet ready to operationalise AI can lay the groundwork today with AI Fabric, ensuring they can move quickly and safely when priorities, budgets, or markets shift.
