A new solution from digital banking platform Plumery AI aims to help banks move beyond small AI tests and embed artificial intelligence into their daily operations. The company has launched a product called “AI Fabric” that acts as a standard framework for connecting generative AI tools to core banking data and services. This approach is designed to make AI adoption smoother, more scalable, and compliant with security and governance standards.

Breaking Down the AI Fabric Solution

Plumery’s AI Fabric is built as a standardized, event-driven, API-first framework. Its goal is to reduce the need for custom integrations for each new AI project. Instead, banks can use this infrastructure to connect various AI models and tools to their existing systems more easily. The architecture promotes scalable growth, allowing banks to expand their AI use cases without constantly reinventing the wheel.

Ben Goldin, Plumery’s founder and CEO, emphasizes that banks are clear about their AI goals. They want real-world applications that improve customer experience and operational efficiency. At the same time, they refuse to relax on governance, security, or control. Goldin states that the AI Fabric’s data mesh architecture transforms how banking data is produced, shared, and used, without layering another AI system on top of existing fragmented systems.

The Challenge of Fragmented Data in Banking

One of the biggest hurdles for operational AI in banking is data fragmentation. Many banks still rely on legacy core systems that are separate from newer digital channels. This creates silos around products and customer journeys, making it harder to implement AI effectively. Each new AI project often requires its own set of integrations, security checks, and governance approvals, which slows down progress and increases costs.

Research supports this view, showing that fragmented data pipelines make it difficult to explain AI decisions and raise regulatory risks. For example, in areas like credit scoring and anti-money laundering, regulators demand transparency and auditability of AI outcomes. Plumery’s AI Fabric aims to address these issues by offering governed streams of banking data that can be reused across multiple use cases, promoting safer and more consistent innovation.

AI Already Making an Impact in Financial Services

Despite these challenges, AI is already in use across many parts of the financial sector. Industry studies highlight that banks and financial institutions are actively deploying AI in areas like customer service, fraud detection, and credit analysis. The key is moving from isolated pilots to full-scale production, which requires a shared infrastructure and clear governance—something Plumery’s framework aims to provide.

With this new product, Plumery hopes to accelerate the adoption of AI in banking by simplifying integration and ensuring compliance. The AI Fabric offers a way for banks to safely scale their AI initiatives, leveraging existing data assets while maintaining control. As banks continue to experiment with AI, solutions like this could become essential for turning pilots into operational tools that truly benefit customers and institutions alike.

Inspired by

• https://www.artificialintelligence-news.com/news/banks-operationalise-ai-as-plumery-ai-launches-standardised-integration/

Sources

• digitaldefynd.com
• arxiv.org
• fintechstrategy.com
• bcg.com
• theguardian.com