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AI for Customer Support

Escalation Prediction

By the time a ticket is escalated it is usually too late to do the cheap version of fixing it. The customer has repeated themselves twice, been handed between two agents, and written the word “unacceptable.” Every one of those steps was visible while it was happening. Nobody saw it because nobody is reading the whole queue at once — each agent sees their own tickets, and the trajectory across them is invisible.

That trajectory is exactly what an agent can watch. Skynet holds your open conversations in unified memory alongside account history, so it can see the shape of a thread rather than a single message: the third reply on the same issue, the promised follow-up that never came, the tone shifting from puzzled to done. When the pattern matches, it says something while there is still room to act.

How it works

step 01

Define what escalation looks like here

Escalation risk is not universal. A three-day thread is normal on an implementation ticket and alarming on a billing one. Tell the agent which signals matter for your product, and it watches for those rather than generic frustration.

step 02

Watch threads, not messages

The agent tracks each conversation as it develops — reply count, time between replies, reopens, handoffs, tone drift across turns. Risk is a trajectory, and reading one message at a time hides it.

step 03

Flag early, with the story attached

When a thread crosses the line, the agent raises it where your team already works. The flag is not just an alert — it comes with what the customer asked for, what has been tried, what was promised, and what is still open.

step 04

Propose the intervention

Alongside the flag, the agent suggests the move: loop in a specialist, offer a call, or send the honest status update nobody has sent. A human decides and approves. The agent never reaches out on its own.

Build it from a prompt

Set the watch once and let it run continuously.

The payoff is timing. Catching a thread at reply three costs one thoughtful message; catching it at reply six costs a manager, a credit, and a customer who tells other people about it. The agent buys back the early window your team never had visibility into.

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