1 Communication AI Agent, Live in Production.

1 live agent automates communication within customer service. It runs on demand. It publishes the inputs it needs, the steps it works through and what it hands back.

  • Live

    Service Instruction Delivery

    Turn a service record into the instructions the customer actually needs afterwards, checked line by line against your own documentation before anyone approves it. Nothing is sent.

Checking every instruction line by line against your own documentation

The instructions a customer receives after a service action are usually the weakest link in an otherwise controlled process. The work is done to a documented standard, recorded properly, and then explained in an email written from memory — so the wording drifts from the documentation, and a step that sounds reasonable but is not actually supported gets included. The customer follows it, it does not work, and the contact that follows costs more than the visit. The alternative failure is silence: nothing is sent, and the customer improvises. Neither is a knowledge problem. The documentation exists; what is missing is the step where the message is checked against it.

Service Instruction Delivery turns a service record into the instructions the customer actually needs afterwards, and checks them line by line against your own documentation before anyone approves it. Nothing is sent. The line-by-line check is the part that matters — a whole-message plausibility review passes text that is mostly right, and mostly right is what generates the follow-up call. One agent covers this process; the approval remains with whoever owns the customer relationship, because the decision about tone and how much detail to include is not one the documentation settles.

What this moves

Instructions that contradict the documentation
Each line is checked against your own documentation before approval, so a plausible-sounding step that is not actually supported does not reach the customer.
Follow-up contacts after a service visit
The instructions the customer actually needs afterwards are derived from the service record itself, rather than left to whatever the engineer remembered to say.

Customer Service

How AI agents handle communication

Drawn from the 1 agent above — what they require, how they run, and what comes back.

What they need

  • What was done
  • Who it goes to

What comes back

  • Instructions Markdown doc
  • Checked against the documentation Validation result
  • Message to the customer Draft reply
  • Documentation used References

How they run

Run on demand
1
Steps per run
4
Credits per run
7
Use a knowledge base
1

Where communication fits in customer service

Most tickets are about one customer’s specific order or account. An agent that can read that state actually fixes the problem, instead of replying with a help article the customer already found.

All 39 customer service agents

Next Step

Deploying communication agents

These run as-is against the inputs listed above. Most deployments adapt one — a different source system, a different tolerance, a different approval path. The first call establishes which.

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