A European bank unlocked complex risk data with AI
- 20+ Countries unified in one platform
- No SQL Required to query risk data
- 40+ Business domains unified in one platform
Complex financial data, finally accessible to everyone who needs it
A major European banking group operates across more than 20 countries and 40 business domains, generating vast amounts of financial risk data. The intelligence was there—but locked behind layers of SQL complexity. Getting answers meant finding a specialist to write a query. That's not scalable. Together with Teradata, the bank built a conversational AI layer that lets any business user interrogate complex risk data in plain language—no SQL and no technical intermediary required.
Critical risk intelligence, locked behind technical complexity
The bank's financial risk reporting platform held multidimensional data spanning more than 20 countries and 40 business domains—a wealth of critical intelligence that most employees simply couldn't access. Every question required a specialist to write the query. That bottleneck created delays, limited who could participate in data-driven decisions, and left the organization's analytical potential largely untapped. The bank needed a way to make complex data accessible, usable, and actionable at enterprise scale—without compromising security or accuracy.
A conversational AI layer built for enterprise-grade financial data
Working with Teradata, the bank built a conversational AI layer that lets business users ask questions of their data in plain language—no SQL, no technical intermediary, just natural dialogue with the platform. The architecture was engineered deliberately for enterprise scale, operating in three stages: lightweight context injection using curated reference data so the model understands business structure; all calculations executed directly within Teradata, keeping analytical heavy lifting inside the database close to the data; and an LLM that interprets pre-aggregated results rather than raw tables—dramatically reducing token consumption, improving speed, and maintaining analytical accuracy.
To scale across countries with minimal overhead, the team developed reusable semantic layers and standardized access patterns. The result isn’t a demo—it's a production-grade blueprint for enterprise-wide deployment.
Risk analysts, business leaders, and compliance—all working from the same data, in plain language
Early testing validated targeted business questions across a focused geographic scope, with compelling results. The conversational AI platform gives risk analysts, business leaders, and compliance teams alike the ability to interrogate complex financial data—securely, accurately, and at scale—without writing a single line of SQL. What began as a proof of concept is now a reusable blueprint for enterprise-wide deployment across countries and business domains. For a banking group operating in more than 20 countries, that means faster insights, smarter decisions, and a data platform that doesn't just store intelligence—it makes it accessible.
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