SEO + AEO + GEO + Local score, your fix-list and the AI-Ready badge.
Most support tickets are the same twenty questions. An AI agent resolves them end to end from your knowledge base and systems (not a canned reply, the actual answer or action), in the customer's language, on every channel, and passes the rest to your team with the context already gathered.
An AI customer support agent reads the customer's message or call, finds the answer in your knowledge base or takes the action in your systems (checks an order, resets an access, updates an address, raises a refund within policy), replies in the customer's language on web, WhatsApp, email or phone, and hands over to a person with a summary when the issue needs judgment, typically resolving 60 to 80 percent of routine tickets by itself.
Every agent starts on a defined event, does one job from your own data and systems, and passes the conversation to a person at a defined point. That is what makes it safe to put in front of customers.
Resolves the repeat questions completely: status, how-to, account and billing questions, with the answer or the action taken, and closes the ticket with a satisfaction check.
Reads incoming tickets and emails, tags topic, product, sentiment and urgency, fills in missing details by asking the customer, and routes to the right team or person.
Answers the support line, authenticates the caller by the rules you set, resolves status and how-to calls, and books a callback for the rest.
Every week, lists the questions it could not answer and the articles that need fixing, and drafts the missing help-centre articles for your approval.
Tells customers about delays, outages and order changes before they ask, from your systems' events, in their language.
An illustrative scenario, not a client result; numbers are typical of the size of business described.
Running costs shown monthly. Every project starts with a written scope and a fixed price.
A chatbot replies with a scripted answer. An agent finds the real answer in your knowledge base or takes the action in your system (checks the order, issues the refund within policy, resets the access) and only then replies. It completes the ticket instead of pointing at a help article.
Customers are frustrated by waiting and by wrong answers. An agent that answers in seconds, correctly, and offers a person on request scores higher than a queue; and it never argues, it hands over the moment frustration shows.
Yes. It reads and writes tickets in your tool, so your team's workflow, reporting and SLAs do not change; the agent is just the fastest colleague on the team.
A web and WhatsApp resolver on your knowledge base starts around $1,500 one-time; adding actions on your systems, triage and a voice line is typically $4,000; multi-brand or multi-language operations with proactive updates are $9,000 and up. Cost per ticket usually falls by more than half within the first quarter.
It answers only from your approved sources and says "I do not know, let me connect you" otherwise; we test it against hundreds of past tickets before launch and review unanswered questions weekly.
Shopping assistant · Cart recovery agent
Receptionist · Booking and order taker
Conversational sales agent · Support agent
Inbound responder · Meeting booker
The hub: what agents do, how we build, what it costs.
A 30-minute discovery call, a written scope, and a fixed price. You keep the scope either way.