Improve Workflows with Sub Agents
Last updated: May 14, 2026
Sub agents help you move from broad automation to focused workflows.
Use them to improve one scenario at a time until Aissist is ready for broader coverage.
See Create Sub Agents for setup details.
Improve one workflow at a time
Review live conversations and group them into repeatable scenarios.
Pick one high-volume, low-risk scenario first.
Create a sub agent with a clear scenario and concise instructions.
Link only the assets and actions needed for that workflow.
Choose the right session behavior, such as reply, handoff, or no response after the current step.
Test the workflow in narrow traffic and monitor live results.
Refine the sub agent, then repeat with the next scenario.
Keep each sub agent narrow. One workflow per sub agent usually works best.
Best practices
Use sub agents well by following these rules:
move scenario-specific rules out of workspace instructions
link only relevant assets and actions
use handoff when the workflow needs human review or system access
expand gradually after one workflow performs reliably
Examples
These examples show how teams use sub agents to improve accuracy, reduce conflicts, and hand work to humans when needed.
Example: Add contextual instructions for one scenario
CityRelay, a property rental business, often receives questions about early check-ins and late check-outs.
To handle this, they created a check_in/checkout_out sub agent with:
contextual instructions for the check-in and checkout policy
an action to check availability
That let Aissist answer these questions more accurately and efficiently.

Example: Resolve conflicting guidance
Open Goaaal sells soccer goals and often receives requests for installation manuals.
At first, Aissist replied with the wrong behavior.
It said it would send a PDF, even though the correct workflow was to share a Google Drive link for the exact product.
The problem came from a conflicting workspace instruction that overrode the asset guidance.
The fix was:
remove the conflicting global instruction
create an
installation_manualsub agentmove the correct logic into that sub agent

After that change, Aissist returned the correct product-specific manual link instead.
This pattern works well when one workflow needs precise logic that should not affect every conversation.
Example: Hand off to the human team
Open Goaaal also needed a safe return handoff flow.
Return requests required a return authorization in an internal system that Aissist could not access directly.
To handle that, the team created a return_or_refund sub agent that:
asks for order number
asks for shipping address
asks for the reason for return
asks for a photo of the current product condition
tell customer the case has been escalated to a special team after the information is collected
stops responding
Once the user submits that information, the human team takes over.

For more on handoff design, see Streamline with Human Team.
Best practice
Start with one repeatable workflow.
Test it, review real conversations, and expand only after the workflow is reliable.
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