Agentplace

For metering operations teams

AI agents for metering operations teams

Create an AI agent to help a customer clarify a metering request and supply supporting information. Give it your knowledge and let clients use it on its own web page.

Overview

Agentplace lets metering operations teams create a customer-facing AI agent to help a customer clarify a metering request and supply supporting information. You provide the service knowledge and rules. The client opens the agent’s own URL, explains the situation by text or voice, and works with a result that updates on the page as they clarify their request. The examples below cover specific parts of that journey. Open a template to inspect its result and requirements before choosing what to offer.

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The experience you can offer

Help a customer clarify a metering request and supply supporting information.

The agent asks for the relevant details, applies your knowledge, and presents the result on its page. A changed answer updates the work in that same session. You choose whether clients pay for the digital service or continue to a booking, your team, or a connected system.

Your knowledge makes it yours

Service coverage, assessment inputs, installation requirements, account records, and verified energy information.

Create my AI agent

Find your use case

Explore the tasks you can offer.

Each link opens the full example with its client result, required knowledge, and setup. Starting points show a reusable task and need to be adapted to your business.

01

Starting point to adapt

A new client needs to supply information and documents.

AI Client Onboarding Workspace Agent

An onboarding record with the document workspace and outstanding client actions.

Configure the example for your metering operations teams service using your own questions, source records, and permitted actions.

02

Starting point to adapt

A customer needs to resolve a documented support issue.

AI Support Portal Answers Agent

A guided resolution with the current result and a contextual handoff when needed.

Configure the example for your metering operations teams service using your own questions, source records, and permitted actions.

How to choose

Start with a customer question or assessment. Keep a recommendation separate from infrastructure control, and tie any account change or installation status to the connected system.

Start with one result you can explain and test. Ask the builder to help define that result before adding more tasks or connections.

How it works

From your process to a client-facing AI agent.

  1. Choose the task

    Choose an example or describe the work your clients should be able to complete. Keep its scope tied to a service you can explain and test.

  2. Add your knowledge and tools

    Give the agent your questions, rules, examples, and approved materials. Connect the records or workflow needed to complete that particular task.

  3. Test and share the link

    Try a complete client session, including a changed answer and missing information. Publish the agent and share its URL when the result and configured actions work as intended.

Common questions

What can an AI agent do for metering operations teams?

It can help a customer clarify a metering request and supply supporting information. Your business supplies service coverage, assessment inputs, installation requirements, account records, and verified energy information. The agent uses that context during a client session and shows the resulting information and permitted next action on its own page.

Which materials should we prepare first?

Prepare service coverage, assessment inputs, installation requirements, account records, and verified energy information. Use one completed example from your service and one example with missing information. For this audience, test whether the agent can help a customer clarify a metering request and supply supporting information without filling gaps with assumptions.

How should we choose the first task?

Start with a customer question or assessment. Keep a recommendation separate from infrastructure control, and tie any account change or installation status to the connected system.

Does every example work for our business without changes?

No. A template shows a particular client task. Examples marked as starting points need your service questions, records, and actions configured before use. The linked page explains the example in full.

Can clients start on the web and continue with our team?

Yes. The AI agent has its own web page where clients can use text or voice. Configure the next step your service needs, such as a paid session, an appointment, or a handoff with the agreed information. Phone, messaging, and other systems are optional connections.