This specialist event brings together leaders across asset, auto, equipment, commercial and receivables finance to explore how the sector is navigating policy, regulatory and technology disruption.

The industry continues to face significant challenges, from inflation, interest rates and the cost-of-living crisis to new regulation, supply chain pressures and geopolitical uncertainty. At the same time, the sector continues to demonstrate resilience and a determination to maintain growth and investment in finance and leasing.

Register for the event

Why attend?

Anyone responsible for transformation, operations or innovation in asset and specialist finance, this event offers an opportunity to understand how the market is evolving and how organisations are responding to ongoing disruption.

• Understand how lenders are adapting to changing market conditions and customer expectations
• Explore how technology, AI and data are being applied to improve efficiency and decision-making
• Gain insight into approaches to risk, regulation, fraud and credit management
• Connect with peers across asset, auto, equipment, commercial and receivables finance

Designed for senior leaders across lending, operations, technology and risk.

Visit us at the event

Meet the CGI Asset Finance team at our exhibition stand.

At the stand, we can discuss:

• Building more agile, customer-centric asset finance models
• Using AI to generate insight, improve processes and support better decisions
• Modernising legacy systems and creating flexible digital ecosystems
• Improving operational efficiency and reducing manual processes
• Strengthening resilience across lending and servicing operations.

CGI supports asset finance providers in building adaptive business models and digital ecosystems that connect lenders, brokers and customers, helping deliver greater efficiency and better experiences.

We take a practical, human-centred approach to AI, helping organisations move beyond experimentation to deliver measurable outcomes through data science, machine learning and intelligent automation.

 

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