7 questions I asked before choosing chatbase, the AI customer support platform

Most teams pick a platform based on a demo or a pricing page. Those are the wrong inputs. Here are the questions that actually tell you if a platform will hold up in production.

Can it train on my specific data? Generic AI knowledge is not enough. You need a platform that learns your policies, your products, and your edge cases specifically. Chatbase trains on your docs, website, support history, and custom Q&A pairs.

What happens when it does not know the answer? A good platform escalates cleanly with context attached. A bad one generates a confident wrong answer.

Does it connect to the tools I already use? Zendesk, Salesforce, Stripe, Calendly, Slack. If the integrations are not native you are building middleware before you even get started.

Can I switch models without retraining everything? Models improve constantly. If changing models means rebuilding your knowledge base you are locking yourself into whatever was available the day you signed up.

What does the escalation path look like? The handoff to a human is where most support agents fail. Full conversation context needs to transfer or the customer experience breaks.

How do I know when it is getting things wrong? You need confidence scoring, conversation logs, and a feedback loop built in. Without that you are flying blind on resolution quality.

How long does it take to go live? If a platform requires weeks of implementation it is probably built for a company ten times your size. Most setups on Chatbase go from signup to live agent in under an hour.

Which of these questions would have changed your last platform decision if you had asked it upfront?