Louis Carbonnier, Co-Founder & Co-CEO, Hokodo & Liquidity Lab

In the lead up to RFIx26, this webcast explored how AI is moving beyond simply accelerating underwriting processes to fundamentally improving decision-making across receivables and working capital finance.

The discussion focused on where AI is already delivering measurable impact – particularly in enhancing risk assessment, identifying patterns in debtor behaviour earlier, and enabling more informed credit decisions. It also addressed the challenge of working with fragmented and inconsistent SME data, highlighting how combining multiple data sources and signals can still produce reliable, scalable models in imperfect environments.

The session also examined the growing importance of trust in AI-driven finance, especially from a client perspective when it comes to credit approvals, limits, and declined coverage. Transparency, explainability, and consistency were key themes in building confidence in automated decisions. Looking ahead, the webcast explored how AI is expected to extend far beyond underwriting, becoming embedded across the full financing lifecycle-from onboarding and monitoring to real-time decisioning-reshaping how working capital finance operates in the years ahead.