In an era of rapid digitisation, debt collection businesses and teams face unique challenges in maintaining meaningful customer relationships.
The rise of AI offers enormous potential, not just in automation but in understanding and catering to the nuanced emotions of humans. Collections conversations are hard for customers and agents, so anything that can assist in managing those difficult conversations more efficiently adds huge value.
And this is where AI comes in. We see it in action every day – managing millions of customer conversations using natural language processing, machine learning and automation to respond to customers' specific situations.
Webio's AI is identifying vulnerability with 86%+ accuracy, enabling customers to be dealt with empathetically through automation or blended agent engagement, ensuring vulnerable customers experience the right level of care in an efficient way.
But let’s be clear: AI isn't a one-fits-all solution. There will always be that need for the human touch, especially in collections. So, how does AI in collections conversations work?
IN 45 MINUTES YOU WILL LEARN:
The difference between Large Language Models (LLMs) and Custom Language Models (CLMs) explicitly built for debt collection, and why one works and the other doesn't.
How natural language processing identifies what customers are trying to do, and extracts valuable information from live conversations - like dates, amounts, and postcodes - to better manage the conversation.
How 57%+ more ID&Vs are completed without the need for a human agent
How AI guides agents to handle customer interactions better.
How to achieve a good customer experience that equals, or is better than, a live agent interaction.
Join us to explore how empathy can be effectively scaled through AI.