VUX World 15 million chats per year: Lessons in AI-driven customer conversations from Lloyds Banking Group with Cainan Wright and John Young
Once switched off during busy periods, Lloyds Banking Group’s chatbot now handles more than 15 million conversations a year. Learn what it really takes to build AI solutions that customers trust with their money.
We sit down with Cainan Wright, Senior Product Owner, and John Young, AI Lead - Chatbots and Generative AI, from Lloyds Banking Group, to explore their remarkable nine-year journey in building one of the UK's most successful banking chatbots. From handling 3 million conversations in 2021 to over 15 million in 2025, they share the hard-earned lessons of transforming a rather "unloved" virtual assistant into a mission-critical service for almost 27 million customers.
We cover how the team stabilised their service by focusing on the basics, investing in design expertise, and securing organisational buy-in through demonstrating clear value.
Cainan and John also share valuable insights into their pragmatic approach to generative AI, explaining how they combine deterministic processes with generative language capabilities to deliver the best customer experience while maintaining brand consistency and ensuring regulatory compliance.
The team's journey offers important lessons about perseverance and the importance of striking a balance between innovation and responsibility when deploying AI in a highly regulated industry.
Timestamps
00:00 – Intro
01:34 – Meet Lloyds Banking Group
03:18 – The unloved virtual assistant era
05:30 – AI before ChatGPT
06:50 – Stabilising the service and earning trust
14:23 – From underloved to mission critical
16:55 – Buy-in from stakeholders to scale AI capabilities
18:41 – Defining new AI roles in banking
20:51 – Scaling from 3 to 15 million conversations
25:15 – How to handle a 5x increase in three years
27:43 – Experiments with generative AI in banking
30:24 – Using an LLM classifier
31:07 – Improving tools within teams
32:45 – Using generative AI for value and impact
34:56 – Valuable design research sessions
38:56 – Meeting customer expectations with generative AI
46:04 – Maintaining consistency in probabilistic landscape
49:30 – The right tool for the right job in conversational AI
55:26 – How do you measure the impact of generative AI?
56:13 – Responsible AI and proving business value
1:01:10 – The next 12 months
1:07:02 – Magic wand moments
1:11:34 – If the team could start over again
1:14:03 – Closing remarks from Kane
Show notes
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