Berenberg's Gemini Enterprise transformation
Berenberg· GermanyVertex AI · NotebookLM · Gemini EnterpriseBerenberg, Germany's oldest private bank (founded 1590, €39 billion AUM, 1,600 employees), is the first bank in Europe rolling out Gemini Enterprise bankwide with Google Cloud. Berenberg's AI journey began in 2018 with traditional ML for portfolio management, then in 2022 the bank built BegoChat, a custom AI assistant on Vertex AI, to aggregate and analyze broker reports, company filings, and news for equity portfolio managers, infused with Berenberg's proprietary investment frameworks. A similarly built tool generates the bank's daily 'Morning Mail' market briefing, with AI assistance producing content 85-90% faster with human review for quality and compliance. Berenberg later adopted NotebookLM for an 'Everyday AI' layer of document summarization, translation, and comparison, and is now rolling out Gemini Enterprise (formerly AgentSpace) across the bank starting in 2026, giving employees a marketplace of centrally managed generic and role-specific agents (Research, financial analysis, Due Diligence support).
Overview
Berenberg, Germany's oldest private bank (founded 1590, €39 billion AUM, 1,600 employees), is the first bank in Europe rolling out Gemini Enterprise bankwide with Google Cloud. Berenberg's AI journey began in 2018 with traditional ML for portfolio management, then in 2022 the bank built BegoChat, a custom AI assistant on Vertex AI, to aggregate and analyze broker reports, company filings, and news for equity portfolio managers, infused with Berenberg's proprietary investment frameworks. A similarly built tool generates the bank's daily 'Morning Mail' market briefing, with AI assistance producing content 85-90% faster with human review for quality and compliance. Berenberg later adopted NotebookLM for an 'Everyday AI' layer of document summarization, translation, and comparison, and is now rolling out Gemini Enterprise (formerly AgentSpace) across the bank starting in 2026, giving employees a marketplace of centrally managed generic and role-specific agents (Research, financial analysis, Due Diligence support).
The challenge
With the rise of generative AI in late 2022, Berenberg's equity portfolio managers were drowning in research and data — reading and synthesizing broker reports, company filings and market news consumed hours each day — and the bank's pragmatic AI philosophy requires every AI project to either increase revenue or decrease costs.
The solution
Berenberg's AI journey began in 2018 with traditional machine learning models for portfolio management. In 2022, the bank built BegoChat, a custom AI assistant on Vertex AI, to aggregate and analyze broker reports, company filings and news, enriched with Berenberg's proprietary investment frameworks; a similarly built tool generates the bank's daily 'Morning Mail' market briefing. Berenberg later adopted NotebookLM for an 'Everyday AI' layer of document summarization, translation and comparison without needing custom development, and is now rolling out Gemini Enterprise (formerly AgentSpace) bankwide starting in 2026, giving employees a marketplace of centrally managed generic and role-specific agents (Research, financial analysis, Due Diligence support), forming a 'pyramid strategy' of tailored AI, everyday AI and standard tools, all centrally managed and connected to Berenberg's data landscape.
Reported business value
AI-assisted workflows produce content 85-90% faster, including the daily Morning Mail market briefing, freeing up roughly an hour per day per salesperson that can be redirected to client calls, while human review continues to ensure quality and compliance.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other financial services entries in the register.
Navy Federal Transforms Service With AI
Navy Federal Credit Union is reshaping banking for military members by unifying data and leveraging generative and agentic AI on the Databricks Data + AI Platform. By embracing AI-augmented workflows and upskilling teams, Navy Federal delivers customized services while streamlining productivity through responsible change management and data readiness.
Navy Federal Credit UnionDatabricks
Banking Innovator bunq Supports Growth, Strengthens Security Using AWS
bunq, a Dutch neobank with over 11 million users across Europe, uses Amazon Bedrock for several generative AI use cases including summarizing new user data with large language models, removing the need for agents to process onboarding documents manually. Using Amazon Bedrock, bunq tripled user support process efficiency while maintaining over 90 percent accuracy. Sensitive data stays within bunq's AWS virtual private cloud, supporting GDPR and PCI DSS compliance alongside tools such as AWS CloudHSM, AWS Security Hub and AWS KMS.
bunq· NetherlandsAmazon Bedrock · AWS CloudHSM · AWS Security Hub +1TBC Bank Operationalizes Trusted Data with Lakebase
TBC Bank, the largest banking group in the Caucasus region, built a Lakehouse on Databricks and adopted Lakebase and Databricks Apps to move from on-premises SQL Server instances and month-long reporting cycles to self-service analytics and AI-driven applications, including a web-based AI chatbot and AutoML-based credit risk scoring. Credit risk model deployment fell from 14 weeks to two days, and more than 600 users regularly query governed data through Genie.
TBC Bank· GeorgiaDatabricks Platform · Lakebase · Databricks Apps +4Worldline enables real-time insights for smarter merchant decisions with Databricks
European payment processor Worldline consolidated data from multiple acquisitions onto a Databricks medallion architecture with Delta Lake and Unity Catalog to unify over 50 billion annual transactions, reducing infrastructure costs by €200,000 per month, lifting team productivity 40%, and increasing scheme reporting speed 93%.
Was this helpful?
Your feedback helps us improve our use case database