To save time and ensure faster resolution of cases, configure your Pega Email Bot
to react to user requests and automatically respond to emails. By creating conditions
for intelligent email routing, the system can then automatically convert the email
content to a new interaction case for a user, add the email to a work queue, create a
top-level case in an application, or send an automatic reply.
For example,
when a customer email about a problem with a credit card transaction arrives, the email bot
automatically routes the email to an operator and creates a top-level case to help track the
issue.
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In the header of Dev Studio, click the name of the application, and then click
Channels and interfaces.
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In the Current channel interfaces section, click the icon
that represents your existing Email channel.
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In the Email channel, click the Behavior tab.
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In the Intelligent routing section, in the
Process list, select a processing mode:
- To trigger only the first action in the list that matches the
conditions, select First matching action.
All
other actions in the list with matching conditions are not
triggered.
- To trigger every create case and automatic
reply action in the list that matches the conditions, and skip
all route to actions, select All matching
actions.
If no create case or
automatic reply action in the list match the
conditions, the system triggers only the first route
to action that matches the conditions.
Selecting the routing processing mode enables the system to trigger only the
first action or every
create case and
automatic
reply action in the list with matching conditions. For more
information, see
Selecting the routing processing mode.
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Add one or more routing conditions for your email bot to respond to
emails:
Each routing condition specifies a single way that the email bot automatically
responds to an email. If the email content does not match any of the routing
conditions, you can also specify how the system responds.
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Verify that the intelligent email routing works as expected.
What to do next: Train the model for the email bot by using sample data. For more information, see
Training the model for the Email channel.