1. Natural language processing (NLP) so your AI assistant can recognise what people say
See the difference NLP makes to your customer experience
2. Easy integrations so your AI assistant can do more for you over time
Explore ways to connect your AI assistant with your favourite apps and platforms
3. LLM capability to turbocharge your operations
Find out how to safely bring LLMs into your service and eliminate manual tasks using generative AI
4. Retrieval augmented generation (RAG) to teach highly specific skills
Find out how to use URLs and document upload to control the content your customers will see
5. A human in the loop ― always, to keep everything tickety boo
Understand the importance of conversation review and human supervision of AI
“Using NLP, LLM and integration together results in trustworthy, reliable and easy to manage AI assistants. NLP does a great job at identifying AI requests, LLM is the AI administrator’s copilot, helping to train it and produce content from lots of different sources, and integration allows your AI assistant to do stuff, like book an appointment or access information. Where LLMs do pick up much of the leg work for you, we keep a human in the loop to prevent misinformation through hallucinations. Using reliable tech like NLP alongside LLM, and integration to add the real value, your AI assistant is then secure and scalable.”
Matthew Doel
CEO
All 5 essential elements included as standard on AI Studio
The average success rate for AI assistants on AI Studio is 96%, but some independently recognise and resolve 99.88% of customer queries. A successful AI assistant brings opportunities for your teams to do their best work, reduces your customer service costs, and improves key metrics, as well as helping to make sure customers have a positive experience every time they need help or information from you.
Create an AI assistant in AI Studio in less than 10 minutes using only your website URL.
Our team of linguists, psychologists and writers are the human in the loop developing our platform with human agents in mind.
