Overcoming the practical challenges of automation, AI and machine learning in insurance

 

Traditional, manual finance processes for and between insurers and brokers are ripe for automation in order to drive efficiencies, reduce duplication & errors, and remain compliant.

AI will be the next step in the journey and the technology is here – however, effectively implementing it is easier said than done with multiple, complex systems and processes, working across many departments and companies

This breakfast will feature a practical case study from Jacob Ayres-Thompson at Just Group outlining the award-winning work they have done with AI as an example of bringing finance and IT teams together to automate existing manual processes and develop new, more efficient ways of working. Jacob will also discuss the future of AI in insurance operations.

 

Topics to be covered include:

• Implementing AI and machine learning technologies on legacy systems and processes
• Developing systems and workflows that drive efficiencies – and provide better management oversight
• Automating the process of comparing insurers data to brokers
• Overcoming the practical challenges of effective ‘reconciliation of accounting’ between organisations
• How do you achieve the cost cutting through automation?

FREE to attend

Great opportunity to learn, network and benchmark     

Action your findings on the very same day