BNP Paribas’ Holive says trust in proprietary data is key to scaling agentic AI

• BNP Paribas management flagged trust as the core competitive edge in enterprise “agentic AI,” shifting focus from token volume to “value per token.”
• Proprietary data quality was positioned as decisive for autonomous AI agents, with siloed market, transaction, or client data to be rebuilt as curated “data products.”
• Management called for an intelligence layer to steer agents toward controlled, reliable information, aiming to improve accuracy and governance.
• Architecture trust was linked to secure workflow design, with emphasis on security, regulatory compliance, predictable outcomes, or trusted adviser partnerships.
• Charles Holive described agentic AI as a structural operating-model shift for corporate clients, requiring long-term investment, with the bank seeking a strategic partner role.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. BNP Paribas SA published the original content used to generate this news brief on August 14, 2026, and is solely responsible for the information contained therein.