Deploying AI in enterprise environments presents unique challenges that demand careful consideration. For larger corporates, the primary concerns centre on data security, model governance, and risk containment, factors that can make or break AI adoption at scale.

The fundamental question enterprises face is whether AI models are being trained on their proprietary data. This concern extends beyond mere privacy to encompass competitive advantage and regulatory compliance. Companies need absolute certainty that their sensitive information remains within their control.

At the Money 20/20 Europe conference in Amsterdam this year, Trade Finance Global (TFG) spoke with Anders Meinert Jørgensen, Co-founder & CEO at Avallone, who explained why enterprise clients remain cautious about AI in Know Your Customer (KYC) processes.

A “bring your own license” model allows enterprises to maintain complete ownership of both their data and AI models. Rather than forcing clients to surrender data control, platforms like Avallone integrate customer-owned model licences directly into their platform architecture.

This approach ensures that customer data never leaves their security perimeter while still enabling sophisticated AI capabilities. 

The key differentiator lies in understanding which sub-processes benefit from AI enhancement and implementing them without compromising data integrity. By allowing enterprises to retain model ownership whilst providing the infrastructure for deployment, AI innovation and data security don’t need to be a trade-off.