Automate customer support
The math on support is unforgiving. Volume climbs, the queue backs up, and first replies slip from minutes to hours. Meanwhile a real chunk of what’s waiting is questions your team has answered a thousand times — password resets, billing dates, “where’s my order.” Those tickets don’t need a human. They need a fast, correct, on-brand answer. The hard ones — the angry edge case, the bug nobody’s seen — those need your best person, undistracted.
A Skynet agent splits the queue along exactly that line. It handles the repetitive answers, drafts the rest for a human to approve, and escalates the tricky ones with context attached. Nothing goes out that you haven’t taught it to send.
How the agent works
The agent isn’t guessing. It answers from sources you connect, and it shows its work.
Connect your sources
Point the agent at your help center, your past resolved tickets, and any internal docs that hold the real answers. Skynet builds unified memory from all of it, so the agent knows your refund window and your tone before it writes a word.
Draft and review
For anything non-trivial, the agent drafts a reply and waits. You skim it, tweak a line, and send — or send as-is. Every draft cites where the answer came from, so approving is a glance, not an investigation.
Auto-deflect the FAQs
Once you trust it on a category — order status, plan changes, the usual — let it answer those directly. Define the boundaries: which topics it can close on its own, and where it must stop and ask.
Escalate with context
When a ticket falls outside what it knows, the agent doesn’t improvise. It routes to a human and attaches a clean summary: what the customer wants, what’s already been tried, and the relevant account history. Your teammate opens it already up to speed.
Because Skynet takes action in the tools you already use, this doesn’t have to live in a separate console. The agent can surface a flagged ticket in Slack, draft the reply inline, and post it once someone approves — so support happens where your team already is.
Build the agent from a prompt
You describe the job once. No code, no flowchart. Run it on demand or put it on a schedule to sweep the queue every few minutes.
Keeping a person in the loop isn’t a limitation here — it’s the design. The agent does the typing and the looking-up; your team keeps the judgment. A consistent voice comes for free, because every reply is grounded in the same sources rather than improvised by whoever happened to grab the ticket.
Where this lands
You get faster first replies on the easy 60%, drafts ready to approve on the rest, and your senior people spending their time on the tickets that actually need them. The customer gets an answer that sounds like you, every time — not like a different agent on a different day.
Frequently asked questions
They are only as good as the sources you connect, which is the point. The agent answers from your help center and resolved tickets, and it cites where each answer came from — so accuracy is something you can see and check rather than hope for.
You decide what it can send on its own. Outside those categories, every reply is a draft a human approves before it goes out. Anything the agent is unsure about gets escalated, not guessed at.
Yes. Skynet routes across major models, including ones strong at multilingual work, so the agent can read a ticket and reply in the customer's language while holding your brand voice.
From the sources you connect — help center articles, past tickets, internal docs — held in unified memory. The agent does not invent policy; it retrieves what you have already written and phrases it for the customer in front of it.