An AI support agent with a name, inside your helpdesk. Live in thirty days. Measured on how fast tickets close.
hours to first reply. Same team, same tools, same inbox.
In e-commerce, most of your queue is the same four questions. Where's my order. Can I change it. Can I return it. Why was I charged twice.
None of them are hard. They're just slow, because a person has to open three tabs to answer each one. Leave one sitting for two days and it turns into something else.
No reply yet. The customer has checked twice.
It reads the ticket, opens the order, checks the policy, writes the reply in your tone, tags it, and closes it.
The ones it shouldn't touch, it escalates, with the context already attached. Your team gets fewer, thicker tickets.
Not a chatbot on the website. A co-worker in the inbox, working each ticket the way your best person would, with the same six moves every time.
Every message in the thread, in order, including the one from last week.
Pulls the order and the carrier scans from the systems you already run.
What you have told it to do about a stalled shipment, a return, a double charge.
The answer and the fix, in the voice your team already uses.
So your reporting keeps working and nobody has to go back and clean up.
Or escalates it to a person with the order, the history, and the policy already attached.
Do that across the repeat half of your queue and your team stops re-answering the same four questions.
You've probably tried a chatbot. It sat on the website, pushed people at an FAQ, and made them angrier before they got to you.
That thing was built to avoid the ticket. This is built to close it. Different products that happen to share a logo.
We write that from your ticket history: every answer your team has already given, turned into a knowledge base the agent works from.
We can write it. We can't approve it. We don't know your business. So you give us one person, a couple of hours a week, to confirm the answers are right. That's the whole ask.
Fixed. Written on this page, not discovered later.
The baseline is your number, not ours. We write it down together on day one and read it again on day thirty.
So did most of the people we talk to. A website chatbot is built to keep the customer away from your inbox. This works inside the inbox and closes the ticket, or hands it to a person with everything attached.
They hate waiting two days. The reply comes in your tone, on your policy, with the order details already in it. Anything the agent shouldn't answer goes to a person, and the customer never has to repeat themselves.
It works from a knowledge base written out of your own ticket history, and your person signs off on every answer in it before it goes live. The agent doesn't invent policy. It applies yours, and escalates when it isn't sure.
This isn't one. One agent, fixed price, thirty days, and no per-resolution meter that grows with your volume. At the end it's yours, and you decide whether there's a next one.
Deliberately small. No juniors, no account managers, no offshore build team. The two people on this page do the work, and we take a fixed number of clients a month.
Cameron builds and ships the systems. He is an AI and automation engineer at Sophiie.ai, where he shipped a sales-to-video pipeline in sixteen days and deployed a support agent into a live helpdesk. He is also co-author of seven AI and automation courses with Codefinity.
LinkedInDavis has spent the last decade building growth infrastructure in regulated, high-scrutiny environments, from Binance APAC to large-scale enterprise AI rollouts. He runs pipeline, positioning, and commercial.
LinkedInBring us the queue that eats your week. We'll tell you what it's costing you now, and what it looks like in thirty days.