Will AI solve the customer vulnerability challenge?
AI is being heralded as a silver bullet for many issues – and customer vulnerability is no exception. But how real is that assumption? Where is the technology now and what role can it play in identifying and managing vulnerable customers?
In this webinar we explored the potential and use of artificial intelligence in managing customer vulnerability. As AI technologies advance, there is growing interest in their application for identifying and supporting vulnerable customers. However, while AI offers significant promise, it also faces substantial challenges – and has some significant limitations and risks in use.
In this session, we discussed the current capabilities of AI in detecting signs of vulnerability through data analysis, pattern recognition, and predictive modelling. We looked at how AI tools can enhance customer service by providing personalised support and early intervention.
The webinar also critically examined the limitations of AI in this context. AI systems struggle with nuances and complexities of human vulnerability that require empathy and contextual understanding. Issues such as data privacy, bias, and the inability to interpret non-quantifiable factors will also be addressed. Our experts highlighted the importance of integrating human oversight with AI to ensure ethical and effective support for vulnerable customers.