For live chat operators
Create an AI agent to help customers act on support answers through a shared result page. Give it your knowledge and let clients use it on its own web page.
Agentplace lets live chat operators create a customer-facing AI agent to help customers act on support answers through a shared result page. 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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Help customers act on support answers through a shared result page.
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.
Each client account’s knowledge base, customer verification rules, permitted actions, and escalation paths.
Create my AI agentFind your use case
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 customer needs to resolve a documented support issue.
A guided resolution with the current result and a contextual handoff when needed.
Configure the example for your live chat operators service using your own questions, source records, and permitted actions.
Pick one resolution that your service already owns. Configure each client account separately rather than letting an agent mix their policies or customer records.
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
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.
Give the agent your questions, rules, examples, and approved materials. Connect the records or workflow needed to complete that particular task.
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.
It can help customers act on support answers through a shared result page. Your business supplies each client account’s knowledge base, customer verification rules, permitted actions, and escalation paths. The agent uses that context during a client session and shows the resulting information and permitted next action on its own page.
Prepare each client account’s knowledge base, customer verification rules, permitted actions, and escalation paths. Use one completed example from your service and one example with missing information. For this audience, test whether the agent can help customers act on support answers through a shared result page without filling gaps with assumptions.
Pick one resolution that your service already owns. Configure each client account separately rather than letting an agent mix their policies or customer records.
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.
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.
By Vlad Yanch
Updated
Create my AI agent