01
Simple work ends in a real result
Lookups and approved support tasks return their outcome in the Conversation instead of creating another queue.
Approved work, completed in the Conversation
Add read-only lookups, support requests, forms, buttons, or your own API behind explicit permissions and review rules.
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How it works
Actions stay predictable because inputs, permissions, and the customer-facing result are configured together.
01 · Choose
Use a template or define one narrow Action such as looking up an account or creating a request.
Action
DraftTask
Create support request
Input
Conversation and email
Result
Ticket reference
02 · Restrict
Keep the scope narrow, mark required fields, and leave sensitive mutations with a teammate.
Permissions
RestrictedAccount lookup
Read only
Create request
Allowed
Billing change
Blocked
03 · Observe
The Action state and result stay connected to the Conversation for your team to inspect.
Run result
CompletedCustomer
Context included
Support request
Created
Conversation
Updated
Approved tasks finish in the Conversation. Everything else stays with your team.
What changes
A useful Agent does more than acknowledge a task. It either completes the allowed work or brings in the right person.
01
Lookups and approved support tasks return their outcome in the Conversation instead of creating another queue.
02
Allowed, blocked, and review-required work remain explicit for the team configuring the Agent.
03
A custom API Action can use structured inputs and return a controlled response without giving the Agent open access.
Designed for the edge cases
Each Action should do one understandable job with a result your team can verify.
Begin with common support work such as account lookups, request creation, lead capture, or a custom form.
You stop dealing with: starting every support automation from an empty schema.
Keep read-only tasks separate from mutations and reserve sensitive changes for a teammate.
You stop dealing with: granting broad access just to automate one small task.
Define the endpoint, required inputs, and returned fields instead of passing free-form customer text downstream.
You stop dealing with: letting unvalidated conversation text reach an internal system.
Keep the request, state, and result attached to the Conversation your team already reviews.
You stop dealing with: chasing an automation log in a separate tool.
Control before automation
Communicate keeps the permission boundary close to the customer request.
Input
The Action defines the fields it needs instead of guessing from incomplete context.
Access
Read, create, and blocked work stay separate.
Result
The customer and teammate see what happened without changing tools.
Choose how work gets completed
Compare the control your support team keeps around each task.
Questions before you start
Keep the permission model narrow and understandable.
Choose a task your team already handles the same way, set its boundary, and test the result.
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