An assistant that uses your documentation, tickets and knowledge base, cites its source for every answer, and hands off to a human when it isn't sure.
Anywhere people ask the same questions and the answer is already written down somewhere.
Suggested replies based on past tickets and your help center. Your team reviews and sends them.
Employees find answers in handbooks, wikis and policy documents without having to search.
An assistant in your app that helps users with your own content and functionality.
A good assistant is mostly well-organised data and honest measurement. The language model itself is the smallest part of the work.
Documentation, tickets and knowledge base get cleaned up, split into chunks and made searchable.
The assistant only answers based on sources it found, and shows where the answer came from.
A test set of questions from your practice measures quality, before and after every change.
Launch in your environment, with visibility into quality, cost per conversation, and questions that don't yet get a good answer.
Tell me which questions your team or customers ask most often. I'll show you what's feasible.