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Client task template
A visitor needs the right managed IT service.
AI MSP Practice Routing Agent
An existing-client or prospect route based on their actual request.
For managed service providers
Create an AI agent to help a prospect check service fit and route an existing client to the right service. Give it your knowledge and let clients use it on its own web page.
Agentplace lets managed service providers create a customer-facing AI agent to help a prospect check service fit and route an existing client to the right service. 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 a prospect check service fit and route an existing client to the right service.
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.
Service catalogs, supported environments, approved security evidence, implementation requirements, and customer access rules.
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.
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Client task template
A visitor needs the right managed IT service.
An existing-client or prospect route based on their actual request.
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Client task template
A prospect needs to check IT stack compatibility.
A service-fit explanation grounded in the provider's supported technology and scope.
Distinguish a scoping or evidence session from access to live systems. Connect only the customer records and actions required by the selected service. An internal monitoring loop is a different product.
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 a prospect check service fit and route an existing client to the right service. Your business supplies service catalogs, supported environments, approved security evidence, implementation requirements, and customer access rules. The agent uses that context during a client session and shows the resulting information and permitted next action on its own page.
Prepare service catalogs, supported environments, approved security evidence, implementation requirements, and customer access rules. Use one completed example from your service and one example with missing information. For this audience, test whether the agent can help a prospect check service fit and route an existing client to the right service without filling gaps with assumptions.
Distinguish a scoping or evidence session from access to live systems. Connect only the customer records and actions required by the selected service. An internal monitoring loop is a different product.
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.