BNP Paribas has rolled out an internal artificial intelligence (AI) portal designed to speed up pitch preparation for its investment bankers, according to a Friday (Dec. 19) report from Financial News.
The move is part of the firm’s wider strategy to embed generative AI into core workflows and leverage partnerships with AI model providers.
The tool aims to reduce the time teams spend on manual research and slide creation by enabling rapid retrieval of relevant historical content, allowing bankers to focus more on strategic analysis and client relationships.
The new AI platform functions like an intelligent search system that helps bankers uncover and repurpose past pitch materials, analyses and data. By surfacing vetted internal content through natural language queries, the portal can accelerate early-stage pitch work.
BNP Paribas’s initiative aligns with its broader AI efforts and partnerships. According to a July 2024 report by PYMNTS, the bank formed a multiyear agreement with Mistral AI to access current and future commercial language models across its business lines, a collaboration that has since seen extensive piloting of Mistral’s models across divisions. That deal reflects BNP Paribas’s strategy to integrate AI while retaining control of sensitive data and workflows.
Investment banks are pursuing similar AI integrations. Goldman Sachs rolled out its GS AI assistant in January, and UBS launched an M&A co-pilot last September. JPMorganChase was awarded the 2025 Innovation of the Year Award by American Banker for its work on LLM Suite, the firm’s proprietary generative AI platform.
For BNP Paribas, the portal is not a standalone tool but part of a broader architecture that includes internal large language model platforms and external partnerships.
The rollout at BNP Paribas comes as other major banks accelerate AI adoption. As covered by PYMNTS, Citigroup, for example, has upgraded its internal AI platform, Citi Stylus Workspaces, to include agentic AI capabilities that help employees complete complex, multi-step tasks more efficiently. The upgraded system aims to compress workflows that previously required multiple manual steps into single prompts, enhancing productivity and reducing cost.
Source: https://www.pymnts.com/