This specialist event brings together leaders across asset, auto, equipment and receivables finance to explore how the sector is responding to changing market dynamics, regulatory pressures and accelerating digitalisation.

As the pace of change increases, asset finance providers are under pressure to become more agile, customer-focused and data-driven while modernising legacy systems and improving operational efficiency. 
 

Why attend?

Anyone responsible for transformation, operations or innovation in asset and specialist finance, this event offers a practical view of how the market is evolving.

  • Understand how lenders are adapting to changing customer expectations and market dynamics 
  • Explore how AI and data are being applied to improve efficiency and decision-making 
  • Gain insight into approaches to risk, fraud and credit management 
  • Connect with peers across asset, auto, equipment 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 helps financial institutions modernise operations, strengthen resilience and support sustainable growth. We combine deep industry expertise with end-to-end capabilities in consulting, systems integration and managed services.

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. 

Book a meeting at the conference