AI in Customer Support: Addressing Inaccurate Responses
Discover how companies are tackling the challenge of inaccurate AI responses in customer support and the strategies used by My AskAI to improve answer quality.
Alex is an experienced CTO and founder who largely focuses on all the technical areas of My AskAI, from AI Engineering, Technical Product Management and overall Platform Development.
AI in Customer Support: Addressing Inaccurate Responses
Unsurprisingly, if a company is considering using AI for customer support, the biggest concern they have is "inaccurate responses". Almost everyone is worried about this. Companies want to know "how often is this AI assistant going to fail and give the wrong answer".
It's one thing for an AI agent to say "I don't know the answer" and another for it to give the wrong answer. A wrong answer will damage trust for months. The customer may never trust the AI agent's answers again and always demand to speak to a person.
This perspective is what drives the decision-making at My AskAI in terms of where we prioritize our effort/time. Which makes it easy to decide what we work on next for the product. Which in turn leads to us spending 80%+ of our development time on improving answer quality.
Alex is an experienced CTO and founder who largely focuses on all the technical areas of My AskAI, from AI Engineering, Technical Product Management and overall Platform Development.