The concept of automating customer support is appealing, and I appreciate the idea of reducing response times for tickets.
The actual implementation has been disappointing. The AI often misunderstands customer inquiries, leading to inaccurate responses.
It attempts to reduce the workload on support agents, but the inaccuracies often require additional follow-ups, negating the intended efficiency.
The integration with existing support resources is smooth, making it easier to get started.
It sometimes struggles with understanding nuanced queries, which can lead to frustration for our customers.
It automates standard queries, allowing our team to focus on more complex issues and improving response time overall.
I really appreciate how it can resolve simple tickets quickly, which frees up our agents for more complicated issues.
Sometimes the answers can be a bit generic and may not fully address the customer's specific situation.
It helps reduce the volume of tickets that need to be handled by agents, which improves overall efficiency.
I appreciate the potential it has to automate ticket resolution.
The AI frequently fails to provide accurate or relevant responses, which can lead to customer dissatisfaction.
Unfortunately, it hasn’t helped much. Instead of reducing our workload, we find ourselves spending more time correcting its mistakes.
I like the cobrowsing feature, as it allows for some level of visual assistance, which can be quite helpful.
The AI struggles with contextual understanding, resulting in responses that sometimes miss the mark.
It can handle basic queries, but complex issues still require human intervention, limiting its efficiency.