1 Customer Management AI Agent, Live in Production.

1 live agent automates customer management within customer service. It runs when a message arrives. It publishes the inputs it needs, the steps it works through and what it hands back.

  • Live

    Service Appointment Scheduling

    Turn a customer's stated availability into a service appointment that works in both time zones, with the arithmetic shown and the invite held for approval. Nothing is booked and nothing is sent.

Showing the time-zone arithmetic instead of trusting it

Scheduling across time zones fails quietly and expensively. A customer says “Tuesday morning works”, an agent picks a slot that is Tuesday morning where they are sitting, and neither notices until the engineer arrives at an empty site or the customer waits for a call that came six hours earlier. Daylight saving makes it worse, because the offset a person carries in their head is right for most of the year. The reason this keeps happening is that the arithmetic is invisible — the invite shows a time, not the reasoning that produced it, so there is nothing to check. And because availability is usually stated loosely, the alternative is a round of clarifying messages that costs more delay than the appointment saves.

Service Appointment Scheduling turns a customer’s stated availability into an appointment that works in both time zones, with the arithmetic shown and the invite held for approval. Nothing is booked and nothing is sent. Exposing the conversion is the entire safety mechanism: an approver can see that 9am for the customer is 2:30pm here and catch a wrong offset in a second, which is impossible when only the final time is displayed. One agent covers this process, and its refusal to book anything directly is deliberate — a calendar entry sent to a customer is a commitment, and it belongs behind a human approval like every other outbound message here.

What this moves

Appointments booked in the wrong time zone
The conversion is shown alongside the proposed slot, so the error that produces a missed visit is visible before the invite is approved.
Round trips to agree a time
Availability as the customer stated it is turned directly into a workable proposal, rather than requiring a message to clarify what they meant.

Customer Service

How AI agents handle customer management

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

What they need

  • The customer's request
  • Our availability

What comes back

  • Proposed appointment Metadata grid
  • Invite Event preview
  • How the time was worked out Verification checklist
  • What is not established Flagged exceptions
  • Other slots that would work Table of results

How they run

Triggered by an incoming message
1
Steps per run
3
Credits per run
6

Where customer management 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 customer management 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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  • Scoping notes sent within 48 hours
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