Create Sub Agents

Last updated: June 6, 2026

Sub agents define how Aissist handles specific scenarios.

Use them to detect intent, apply targeted instructions, trigger actions, and control handoff to humans.

Sub agents can also link to assets or actions for the workflow they handle.

What sub agents do

Sub agents help you:

  • organize conversations by scenario

  • add contextual instructions only when needed

  • link the right assets and actions

  • control whether Aissist replies, drafts, hands off, stops, or closes conversations

  • generate summary notes

For example, an order_tracking sub agent can detect shipping questions, check order status, and return tracking details.

Create a sub agent

Go to the sub agent creation screen and define:

  1. a clear scenario

  2. optional contextual instructions

  3. linked assets or actions

  4. optional context, task, summary, and acknowledgement fields

  5. session behavior for reply, no response, or closure

Detection trigger

Choose when Aissist should detect the sub agent.

  • Inbound — detect based on the user message.

  • Outbound — detect based on Aissist's reply.

Use Inbound for user intents like returns or order status.

Use Outbound for outcomes like human transfer.

Scenario

The scenario is the condition that triggers the sub agent.

Write it in simple language.

Examples:

  • user wants to make a return

  • user asks where their order is

  • user wants to cancel an order

Instructions

Instructions in a sub agent are contextual.

They apply only when that sub agent is detected.

Use them for scenario-specific handling, such as:

  • ask for the order number

  • check the return reason

  • share the return policy

  • tell the user a human will review the request

Context, task, summary, and acknowledgement

These fields add structure to the workflow.

  • Context adds supporting information for the scenario.

  • Task defines what Aissist should achieve.

  • Summary captures structured output for your team.

  • Acknowledgement sends a one-time message when the sub agent is first activated in the conversation.

Use acknowledgement for short notices or branding.

For example, an eSIM sales sub agent can collect travel details and generate a summary like:

The summary appears in the agent platform as a note or comment for the human team.

Session controls

No Response for Current Interaction

Aissist ignores the current interaction and does not reply.

Use this for spam, no-reply emails, and out-of-office messages.

No Response After Current Interaction

Aissist responds once, then stops replying later in the same conversation.

Use this when you want to hand off after the current step.

You can combine this with gateway handover rules to send the conversation to the right human team.

Close

This closes the ticket or conversation when the sub agent is triggered.

When Respond only to messages recognized by listed sub-agents is enabled, Aissist responds only when at least one listed sub agent matches.

Assets and actions

Sub agents can link to assets and actions.

Examples:

  • Link order_return to a return policy asset.

  • Link order_tracking to a Shopify getOrder action.

This keeps each workflow focused and relevant.

If asset retrieval feels noisy, review Refine Assets.

That page shows how to reduce unrelated context by linking assets to the right sub agents.

Agent platform behavior

When a sub agent is triggered, that tag is also added in the agent platform.

Most agent platforms can use these tags for workflows, automation, and notifications.

Handover rules in gateways

Sub agents can also route conversations to human agents.

In the gateway setup, add handover rules for the workflows that need a human team.

In each rule, choose:

  • the sub agent that should trigger handoff

  • the team that should receive the conversation

Use this when different workflows should go to different teams, such as billing, returns, or technical support.

See Deploy Gateway for gateway setup and Streamline with Human Team for routing patterns.

Best practice

Start with a small set of high-value sub agents.

Build one for each major workflow, test it in real conversations, then expand over time.

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