This is a really important point because choosing an AI chatbot shouldn’t be based only on how impressive the demo looks. What matters is how well it performs after months of handling real customer questions.

I especially like the focus on accuracy, maintenance, and actual ticket reduction. A chatbot that answers quickly but gives incorrect information can create more work for a support team instead of reducing it. The knowledge base also needs to stay updated as products, policies, and processes change.

Another factor I’d consider is how smoothly the AI works with human agents. There will always be situations where a customer needs human help, so a good handoff can make a huge difference in the overall experience.

Real production feedback is definitely more valuable than marketing claims. It would be interesting to see actual numbers on resolution rates, maintenance time, customer satisfaction, and how performance changes after several months of use.