About This Report
Business drivers for chatbots, voicebots and conversational AI are based on making self-service a better experience for customers while reducing the costs of unnecessary calls.
The use of chatbots has seen a rapid rise in the proportion of web chats handled automatically, and a significant drop in the cost of doing so.
As the uptake of AI means that the subjects handled by chatbots and voicebots becomes increasingly sophisticated, this has a positive effect on call queues and customer experience.
With around 25% of calls being from customers who have tried – and failed – to resolve their issues online, the opportunity for improving performance and CX through improving and developing self-service is massive.
However, there is now a levelling-off in chatbot effectiveness and outcomes, as rules-based bots reach the limits of their capabilities. The next step is to use agentic and generative AI to move the chatbot / voicebot revolution forward.
Download this report and find out how AI-enabled chatbots and voicebots can take self-service to the next level.
This report shows:
- 4 key business issues that bots can solve
- Why self-service fails and how bots can help
- Cutting the multi-billion cost of customer authentication
- The impact of bots on cost, performance and CX
- Making AI implementation a success and avoiding pitfalls
- Measuring ROI and performance improvement
UK & US editions.
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In this Report
Types of AI, Chatbot and Voicebot
- Conversational, generative & agentic AI and how to use it
- How chatbots & voicebots work
- Natural language understanding
Business Use Cases for Chatbots & Voicebots
- Cut excessive queue times
- Improve self-service uptake
- Make voice self-service more flexible and responsive
- Reduce the cost of customer authentication
Implementation Success and Pitfalls
- Initial actions in an AI project
- Set-up and training
- Knowledge management
- Voicebot implementations
- Avoiding pitfalls
- Expected outcomes & ROI
- The future of chatbots and voicebots