Every support ticket your team handles costs money: agent time, tooling, management overhead, and the work that does not get done while someone answers it. Multiply what one ticket costs you by the tickets you get each month, and a large share of that total goes to questions whose answers already exist somewhere on your website.
The problem is not that the answers do not exist. The problem is that users cannot find them. They scan a help page for 8 seconds, give up, and open a ticket. Or they never look for help at all. They just email support because it is easier than searching.
When someone submits a support ticket, here is what actually happens. A human being reads it. They figure out what the user is really asking, which is often different from what they wrote. They look up the answer, which might involve checking documentation, asking a colleague, or testing something in the product. They write a response. They wait for the user to reply. Sometimes there are two or three more exchanges before the issue is resolved.
The whole cycle takes anywhere from a few hours to a few days. During that time, the user is stuck. They cannot make progress. They might be evaluating your product during a trial period, and every hour of delay makes them less likely to convert. They might be a paying customer who is getting increasingly frustrated. Either way, the ticket is not just costing you agent time. It is costing you goodwill.
This is where AI chat changes the equation. Not a chatbot with canned responses and decision trees. Those have been around for years and users hate them. The moment a scripted chatbot says "I did not understand that, please choose from the following options," users give up and go straight to email.
GetFoxChat works differently. The GetFoxChat AI Operator (starts as Foxy; rename it and change the avatar anytime) reads your entire website -- every page, every help article, every FAQ, every piece of content you have published. When a user asks a question, your AI operator answers it conversationally, drawing on everything it has learned from your site. It does not just link to an article and hope the user figures it out. It explains the answer in plain language, step by step.
If the answer involves doing something on the page, your AI operator goes further. It can highlight the button the user needs to click. It can walk them through a form field by field. It can say "scroll down a bit, you will see a green button that says Save" and the user sees it immediately. This is not a product tour running on a script. It is a conversation happening in real time, adapting to exactly what the user needs right now.
No AI can answer everything perfectly on day one. Users ask questions that are specific to their account, their use case, their edge case. Your AI operator handles this honestly. When it does not know the answer, it tells the user and captures the question.
Your dashboard lists the questions your AI operator could not answer, grouped by the part of your site they were asked on and refreshed every night. You type the answer once, and it is immediately available to every future visitor who asks the same question. No retraining. No uploading documents. No engineering work. Just a simple feedback loop that makes your AI operator better with every answer you add.
How many questions your AI operator handles on its own depends on how much your pages and answers already cover, and it grows every time you answer a question it could not. The questions that do reach your support team are genuinely complex ones that actually need a human -- account-specific issues, billing disputes, feature requests, edge cases. Your team spends their time on problems that matter instead of explaining where the Settings button is for the hundredth time.
Returning visitors do not start over. If someone asked about setting up integrations last Tuesday and comes back today, your AI operator remembers the context. It might say something like "Last time we were working on connecting your Slack integration. Want to pick up where we left off?" This is something no knowledge base, no tooltip system, and no ticket queue can do. It turns a transactional support interaction into a relationship.
Users who feel remembered are users who stick around. They feel like someone is paying attention. They are more patient when things go wrong because they trust that help is genuinely available when they need it.
Take your own numbers again. Every ticket the operator answers is one your team does not have to, so the saving is the tickets it handles times what one ticket costs you; the calculator on the home page does this arithmetic with your figures, and pricing shows what GetFoxChat costs. The support team is less burned out. Users get faster answers. Response times drop from hours to seconds for the majority of questions.
This is not theoretical. This is arithmetic. The question is not whether AI chat can reduce your support costs. The question is how long you want to keep paying humans to answer questions your website already has the answers to.
Sign up with no card. One script tag. Works on any website.
GetFoxChat