BNP Paribas Strikes Partnership with Google Cloud to Integrate AI Models

BNP Paribas SA is deepening its partnership with Alphabet Inc.’s Google Cloud, extending it for a five-year period as the bank is counting on artificial intelligence to increase efficiency.

Under the latest agreement, the French lender will have access to Google Cloud’s infrastructure and advanced AI capabilities including Gemini Enterprise and Gemini models, according to a statement on Thursday.

Initially, the bank plans to integrate Gemini large language models into its CIB unit, CIB’s internal generative AI assistant and use it to deploy other agentic AI use cases.

“This AI deployment will help us to be faster in how we produce corporate credit memos or how we produce research,” chief AI officer for BNP’s corporate and institutional bank, Charles Holive, said on a call with reporters, referring to use cases. “The idea is to create purposed-driven agents for specific targeted workflows,” he said, adding that further applications will come across sales, trading and structuring activities.

BNP Paribas will also benefit from Google consultants working with their team on the different use-cases.

The Paris-based bank, which declined to share any financial details on the partnership, said no customer or confidential data will be used to train Google models.

BNP also earlier this year deepened its partnership with European AI champion Mistral AI, extending it for another three years. The scope of that deal goes from model access to integrating the generative AI startup’s software and solutions.

Read More: BNP Paribas Works With Mistral to Prep for Mythos-Like AI Models

Google Cloud and Mistral AI will not “necessarily be working on the same use-cases,” BNP Paribas Chief Information Officer Marc Camus said on the call. “We see the two partnerships as complementary rather than competing.”

Lenders across Europe have been stepping up their investments in AI as they expect the technology to boost productivity and profitability.

BNP Paribas previously said it was accelerating the integration of artificial intelligence across its operations, with the aim to generate €750 million ($852 million) in value by the end of 2026, driven by new revenue streams, efficiency gains and enhanced risk management.