A lot of teams are hesitant to adopt AI customer service bots due to their inauthenticity in replies, hallucination, etc. As a result, they're not able to leverage the speed of LLM's to reduce their customer turnaround time. So instead of replying to the customer directly, Hivinq drafts responses for the customer support team using it's knowledge about the product. If the drafted answers are inaccurate, team members can let it know and it will observe the thread to learn and correct itself.
I faced this problem in my last full-time job so we're setting out to build an easy to onboard solution. If you want a demo, please schedule a call at https://cal.com/vishalds/hivinq and we'll be happy to walk you through!
