AutoCompose Updates
New updates and improvements across AutoCompose
AutoCompose Sandbox is a playground environment that allows administrators to preview and test the AutoCompose experience before integration. The sandbox provides a realistic simulation of how agents will interact with AutoCompose’s suggestion features, including:
- Complete response suggestions above the composer
- In-line suggestions while typing
- Custom response management through the AutoCompose panel
- Access to the global response library
The sandbox environment helps administrators understand the agent experience and evaluate AutoCompose’s capabilities firsthand.
AutoCompose running in a sandbox environment.
How It Works
How It Works
How It Works
Watch the following video walkthrough to learn how to use the AutoCompose Sandbox:
AutoCompose Sandbox enables you to play both sides of the conversation. AutoCompose won’t suggest anything while simulating a customer, but suggestions will populate for the agent role.
The AutoCompose panel situated on the right side allows you to define and browse custom responses, which can then be accessed as suggestions in the composer. It also enables browsing of the global response list that has been defined globally. Finally, it allows an agent to customize the behavior of AutoPilot.
As agents use the suggestions provided by AutoCompose, the response library will grow, which will be reflected in the suggestions produced by AutoCompose.
AutoCompose now supports configuration of the global response list in ASAPP’s AI-Console. Users can manage responses through bulk uploads via CSV files or targeted edits in the UI. This self-serve capability enables teams to maintain an up-to-date response library that improves suggestion quality and coverage for agents.
How It Works
How It Works
How It Works
Watch the video walkthrough below to learn how to manage global responses in AI-Console:
Configurable Response Elements
Users can configure four data elements for each global response:
- Response text: The text of the response (required)
- Folder path: The hierarchy that dictates where the response resides
- Title: The short-form title of the response
- Metadata filters: A key and value used to specify the set of conversations for which a response is available
Saving and Deploying
Saving changes to the global response list or uploading a new list creates a new version. Past versions can also be viewed and restored as needed.
The global response list can be easily deployed into testing or production environments, with an indicator at the top of each version showing the status of the response list (e.g. Live in production).
Visit the Tooling Guide for more information on using AI-Console to manage the AutoCompose global response list.
FAQs
-
How do you access AutoCompose in AI-Console?
Provided that you have permission to access AutoCompose in AI-Console, it will appear in the AI Services section of your homepage. To access AutoCompose from any other AI-Console page, select the menu icon in the top left corner and then select AutoCompose.
-
How does response metadata work?
AutoCompose uses response metadata in two main ways:
- As a data insert: Variable metadata such as customer name or time of day is dynamically inserted into templated response text when a suggestion is made to the agent. Read more about templated responses in the AutoCompose Product Guide Features
- As a filter: Responses are only made available for suggestion when the conversation’s metadata matches the attribute set for a given response (e.g. a response only being available when
queue=general).
Agent first name, customer first name and time of day inserts are available by default. Consult your ASAPP account team for assistance with adding metadata for use as an insert or a filter.
-
How can I search the list for specific responses?
There is a search bar to look up specific words from response text. Dropdown menus can also be used to filter by folder path and metadata filter.
AutoCompose Updates
New updates and improvements across AutoCompose
AutoCompose Sandbox is a playground environment that allows administrators to preview and test the AutoCompose experience before integration. The sandbox provides a realistic simulation of how agents will interact with AutoCompose’s suggestion features, including:
- Complete response suggestions above the composer
- In-line suggestions while typing
- Custom response management through the AutoCompose panel
- Access to the global response library
The sandbox environment helps administrators understand the agent experience and evaluate AutoCompose’s capabilities firsthand.
AutoCompose running in a sandbox environment.
How It Works
How It Works
How It Works
Watch the following video walkthrough to learn how to use the AutoCompose Sandbox:
AutoCompose Sandbox enables you to play both sides of the conversation. AutoCompose won’t suggest anything while simulating a customer, but suggestions will populate for the agent role.
The AutoCompose panel situated on the right side allows you to define and browse custom responses, which can then be accessed as suggestions in the composer. It also enables browsing of the global response list that has been defined globally. Finally, it allows an agent to customize the behavior of AutoPilot.
As agents use the suggestions provided by AutoCompose, the response library will grow, which will be reflected in the suggestions produced by AutoCompose.
AutoCompose now supports configuration of the global response list in ASAPP’s AI-Console. Users can manage responses through bulk uploads via CSV files or targeted edits in the UI. This self-serve capability enables teams to maintain an up-to-date response library that improves suggestion quality and coverage for agents.
How It Works
How It Works
How It Works
Watch the video walkthrough below to learn how to manage global responses in AI-Console:
Configurable Response Elements
Users can configure four data elements for each global response:
- Response text: The text of the response (required)
- Folder path: The hierarchy that dictates where the response resides
- Title: The short-form title of the response
- Metadata filters: A key and value used to specify the set of conversations for which a response is available
Saving and Deploying
Saving changes to the global response list or uploading a new list creates a new version. Past versions can also be viewed and restored as needed.
The global response list can be easily deployed into testing or production environments, with an indicator at the top of each version showing the status of the response list (e.g. Live in production).
Visit the Tooling Guide for more information on using AI-Console to manage the AutoCompose global response list.
FAQs
-
How do you access AutoCompose in AI-Console?
Provided that you have permission to access AutoCompose in AI-Console, it will appear in the AI Services section of your homepage. To access AutoCompose from any other AI-Console page, select the menu icon in the top left corner and then select AutoCompose.
-
How does response metadata work?
AutoCompose uses response metadata in two main ways:
- As a data insert: Variable metadata such as customer name or time of day is dynamically inserted into templated response text when a suggestion is made to the agent. Read more about templated responses in the AutoCompose Product Guide Features
- As a filter: Responses are only made available for suggestion when the conversation’s metadata matches the attribute set for a given response (e.g. a response only being available when
queue=general).
Agent first name, customer first name and time of day inserts are available by default. Consult your ASAPP account team for assistance with adding metadata for use as an insert or a filter.
-
How can I search the list for specific responses?
There is a search bar to look up specific words from response text. Dropdown menus can also be used to filter by folder path and metadata filter.