.svg)
The financial services industry is maturing in its approach to AI. Regulatory considerations and legacy architecture still slow things down, but the direction is clear. Different forms of AI are being gradually adopted across different parts of the organization, each at its own pace.
From chat assistants embedded into document editors to autonomous cluster managers, AI is gradually turning into an everyday part of financial services. This change is expected, and mostly positive. The industry as a whole stands to benefit from it, and banking is well placed to move quickly. The vast majority of data is already digitized, and the primary success metric tends also to be easily quantifiable (in $, most of the time).
Some of this change has been released in the form of customer-facing innovations, anticipating a shift in user experience driven by the growing popularity of generative AI. Bud supports that with a range of features that facilitate customer-facing adoption of AI, from Intelligent Search to our Engage MCP server.
Most of the change, though, is happening inside the bank. Customer-facing applications may be lagging, but banking operations are seeing a surge of AI tools and solutions. Some of them are hidden, some of them are provided as an add-on to existing products, and some of them take the form of vast transformation projects.
That’s the context for our latest release, the Drive MCP Server. It extends Bud’s customer data platform, and the intelligence behind it, to any AI tool that supports the Model Context Protocol (MCP). For banks focused on making better use of the data they already process, it becomes a core part of their transformation.
It is a robust and powerful tool that instantly unlocks the ability to harness the insights and capabilities of the platform in a way that previously wasn’t possible. At the core of Bud’s Drive product is its ability to understand customer data, autonomously identify valuable or important trends, and act on them. With the Drive MCP Server, all this power can then be streamlined into action across the whole bank.
For some products, an MCP server is mainly a quick way to connect to an AI agent, and the long-term integration ends up being a traditional API with a strictly defined contract. However, Drive works differently. It excels at continuous evolution of how it uncovers insights in your data, which reflects the ever-changing nature of the financial world. Trading it for more restrictive integration creates either a need to continuously adjust it, or sacrifices that flexibility.
MCP avoids that trade-off, which makes it the natural fit for Drive.
Several use cases are already emerging. With the Drive MCP Server, a marketing agent can freely explore the characteristics of a specific segment, create a precise audience, and extract customer-level insights from it. All this can now be done directly from the platform currently in use, as long as it supports MCP connectivity.
A data analyst can plug Drive into an existing AI coworking tool for an enhanced view of the data, and layer another, hyper-personalized view on top. As well as exposing data and segments and returning exact, up-to-date figures, the Drive MCP Server also provides insight into how each item has been created, and the trends behind it.
Finally, an executive can now directly tap into campaign performance, audience statistics, competitive relations, and more – straight from the spreadsheet or a presentation tool, as long as it supports MCP integrations.
The Drive MCP Server is already deployed and in use, including by Drive’s own AI agent, where it helps connect the bank’s objectives with its customers’ needs. With its flexible tools, it is used to support data exploration, analysis of existing segments, and creation of new ones, as well as building and managing of communication campaigns.
Our Drive MCP Server adds to the ways our clients can access the platform and its insights, from working directly with the data to the use of Bud-provided UI components for employees and end customers alike. Wherever a bank is on its AI adoption and transformation journey, we have the tools needed to help it get real value from its data. Get in touch with the team today to get started.
%201.webp)
