Private credit firms are under increasing pressure to modernise fragmented technology stacks while ensuring new AI capabilities can evolve alongside rapidly changing investment and operational demands. As firms experiment with different AI models across servicing, analytics and investment workflows, many are reassessing how to build technology architectures that remain flexible, interoperable and scalable over time.  

This fireside chat will examine how firms are redesigning credit platform infrastructure to support more adaptable AI integration across public and private credit markets. Speakers will discuss how technology architecture, interoperable systems and flexible data environments can help firms avoid vendor lock-in, scale AI capabilities more efficiently and future-proof investment and operational platforms.