AI Chatbot Design and Implementation
Transforming digital customer experience through Conversational Artificial Intelligence.
Chat-bots and Conversational AI (Artificial Intelligence) are revolutionising the ways in which organisations are delivering 'always on' customer service.
Introducing a Chatbot to your digital experience has wide-ranging benefits for customers, as well as your organisation, whilst delivering an exceptional customer experience.
Customer and User expectations of digital experiences and customer service are ever-changing and increasingly complex. Chatbots can help deliver seamless, consistent, 24-hour customer service at a fraction of the cost of traditional staffed channels such as contact centres.
What is a Chatbot?
Chatbots are an AI enhanced digital experience that use Natural Language Processing (NLP) and machine learning to converse with humans in a realistic way. Chatbots can be implemented across digital interfaces and voice channels to deliver personalised customer experience. Chatbots are highly capable of managing customer queries or complaints, placing orders, returns, bookings and other processes, built into telephone IVR’s to triage phone enquiries, provide consistent answers to a huge array of questions and enquiries, and much more.
Artificial Intelligence enables the chatbot to continuously learn through use and improve its understanding of, handling, and response to natural language.
How does a chatbot get made?
When we are creating a chatbot, Revium will work with your business to understand your customer experience and digital landscape. So we can implement a custom chatbot experience using our cutting-edge AI Chatbot, powered by open AI that will compliment your brand, improve the customer and user experience, reduce service overheads and drive engagement.
We begin with a rapid scan of your website, and other chosen data sources. Once the bot has been trained on your data it won't deviate from it. This is because our chatbot has been built using Retrieval Augmented Generation (RAG) so we can ensure it gives accurate responses and it doesn't suffer from hallucination problems,
Once the bot has all of the required information we then refine how it handles that data. This usually means managing key data at a granular level and adding or removing items as required. We can also add relevancy weighting, making sure the most important things are mentioned first. Once we are happy with the bots level of knowledge we can set it to automatically re-scan and update itself periodically if necessary and move to the next stage.
Next up we use prompts to give the bot custom instructions. Combining rules, common-sense, and even suggested personality traits where suitable.
Finally, once the bot knows what we want it to do and how we want it done we can complete a final round of tests and launch.
If you have any questions or would like a demo of our AI chatbot's capabilities please get in touch.
