Berenberg's Gemini Enterprise transformation
Berenberg · Germany
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).
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.
Other financial services entries in the register.
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