Workflow Studio flow trigger types
Summarize
Summary of Workflow Studio flow trigger types
Workflow Studio flow trigger types determine when a flow starts in ServiceNow and define the starting data available to the flow. Triggers cover various events including record operations, scheduled times, REST API calls, application-specific events, inbound emails, and external spoke integrations. Understanding trigger types enables you to design flows that initiate under precise conditions, ensuring efficient automation aligned with your business processes.
Show less
Trigger Types and Their Use Cases
- Record Triggers: Start flows based on record creation or updates in non-system tables. They support options like triggering once per record life, for every update, or on unique field changes. These triggers are essential for automating processes tied directly to record lifecycle events.
- REST Triggers: Initiate flows via inbound REST API calls or webhooks without custom coding. Useful for integrating external systems with ServiceNow workflows (requires Integration Hub Enterprise).
- Scheduled Triggers: Launch flows at specified times—daily, weekly, monthly, once, or at defined intervals. These triggers use the instance timezone and operate asynchronously, suitable for periodic automation.
- Application Triggers: Trigger flows from specific application events such as Kafka messages, MetricBase alerts, Proactive Analytics KPIs, Service Catalog item requests, or SLA task definitions. These enable automation tailored to application-specific conditions.
- Inbound Email Triggers: Start flows when emails are received by the instance, allowing enhanced control over email attachments and record associations compared to traditional inbound email actions. Multiple email-triggered flows require additional configuration.
- Spoke Triggers: Enable flows to start from external third-party applications via webhooks, facilitating real-time integrations such as creating incident records from external issue trackers.
Advanced Trigger Configuration
- Session Types: Specify whether flows trigger in interactive sessions, non-interactive sessions, or both, allowing control over when and how flows execute.
- User Filters: Define specific users who can or cannot trigger flows, enhancing security and relevance.
- Table Scope: Choose whether triggers apply only to the current table or also to extended tables to broaden or narrow flow activation.
- Execution Context: Decide if flows run asynchronously in the background (default) or synchronously in the foreground for immediate user feedback, balancing performance and responsiveness.
Data Pills Available for Triggers
Flows receive context data (data pills) from triggers, such as the triggering record, changed fields, timestamps, and parameters from REST calls or messages. These data pills allow flow actions to use relevant information dynamically, supporting complex logic and integrations.
Best Practices for Using Triggers
- Use triggers to start flows only when necessary to conserve system resources instead of using wait conditions inside flows.
- Create unique trigger conditions for multiple flows on the same table to avoid conflicts and ensure predictable execution order.
- Ignore records updated via imports or update sets to prevent unintended flow executions.
- Replace record triggers on Service Catalog tables with dedicated Service Catalog application triggers for better support.
- Ensure users triggering flows have access to all data referenced in trigger conditions to avoid permission issues.
- When flows require access to role-restricted data, configure flows to run with appropriate roles to maintain security and functionality.
Implications for ServiceNow Customers
By selecting appropriate trigger types and configuring them with session, user, and table scopes, you can automate business workflows accurately and efficiently. The wide variety of triggers supports numerous integration scenarios, scheduled operations, and event-driven processes. Proper use of data pills and adherence to best practices ensures flow actions have the necessary context and maintain performance and security. This empowers you to create robust, responsive automations tailored to your organization's operational needs.
Each trigger type defines when a flow starts and the starting data available to it. There are triggers for record operations, dates, and application operations.
Record triggers
Use record triggers to start a flow when a record is created or updated.
| Trigger | Description |
|---|---|
| Created | Starts a flow when a record is created in a specific non-system table. Note: Some common record types such as requests have their own dedicated triggers. See the application trigger types for a list of
application records that have dedicated triggers. |
| Updated | Starts a flow when a record is updated in a specific non-system table. Requires selecting when to run the flow.
|
| Created or Updated | Starts a flow when a record is either created or updated in a specific non-system table. Requires selecting when to run the flow.
|
REST triggers
Use REST triggers to start a flow after a specific REST API request.
| Trigger | Description |
|---|---|
| REST API - Asynchronous | Start a flow from an inbound API call or webhook from an external system. Configure the trigger start conditions without having to write or maintain custom code. For more information, see REST API trigger. |
Scheduled triggers
| Trigger | Description |
|---|---|
| Daily | Starts a flow at a specific time every day. |
| Weekly | Starts a flow at a specific time every week. |
| Monthly | Starts a flow at a specific time every month. |
| Run Once | Starts a flow once at a specific time but does not repeat. If you select a past date or time, the system schedules the flow to run as soon as possible. |
| Repeat | Starts a flow at regular intervals you define. |
Application triggers
Use application triggers to start a flow when application-specific conditions are met.
| Trigger | Description |
|---|---|
| Kafka Message | Starts a flow when there's a message in a topic in your Kafka environment. For more information, see Create a flow with a Kafka Message trigger. |
| MetricBase | Starts a flow when a MetricBase trigger is met. Requires the MetricBase application. For more information, see Create a flow with a MetricBase trigger. |
| Proactive Analytics | Starts a flow when Proactive Analytics KPI score or KPI threshold values are met. Requires a Performance Analytics subscription to Proactive Analytics. For more information, see Create a flow with a Proactive Analytics trigger. |
| Service Catalog | Starts a flow from a Service Catalog item request. For more information, see Create a flow with a Service Catalog trigger. Note:
Service Catalog triggers do not
support catalog variables as part of the trigger condition. Instead, get or
create catalog variables in the main body of the flow. |
| SLA Task | Starts a flow from an SLA Definition record. For more information, see Create a flow with an SLA Task trigger. |
Inbound email triggers
Start a flow when your instance receives an email.
Inbound email flows take priority over inbound email actions. If you create flows with inbound email triggers, emails are first processed by the inbound email triggers before they are processed by inbound email actions.
With inbound email actions, you don't have full control over email attachment handling or assigning the target record of an email. When you create a flow with an inbound email trigger, you can perform these actions with the Move Email Attachments to Record action and the Associate Record to Email action. For greater control over email attachments, you can also use the Look up email attachments action to access a specific attachment as a data pill.
Although you can process an inbound email with multiple inbound email actions, you can't process an inbound email with multiple flows by default. Additional configuration is required. For information on how to stop processing in inbound email actions, see Specifying the inbound email processing order.
For more information on running multiple flows on an inbound email, see Allow multiple triggers to process an inbound email.
The following diagram shows how inbound emails are processed by inbound email triggers. After the email has been classified as a reply, forward, or new email, the system tries to match the email to an active inbound email trigger. If the email meets the conditions of an inbound email trigger, the flow runs. If the flow issues stop processing, the email is finished being processed. If the flow does not issue stop processing, the system evaluates the conditions of more inbound email triggers. If there are no more inbound email triggers to evaluate, the system tries to match the email with an active inbound email action instead.
Spoke triggers
Advanced options
- When to run the flow
-
Determine the type of session that can trigger the flow, whether to run the flow when triggered by certain users, and which tables can trigger the flow.
Table 1. Interactive session drop-down menu options Option Description Only Run for Non-Interactive Session Flow that is triggered only in non-interactive sessions. See Non-interactive sessions. Only Run for User Interactive Session Flow that is triggered only in interactive sessions. Run for Both Interactive and Non-Interactive Sessions Flow that is triggered in all sessions. Table 2. User drop-down menu options Option Description Do not run if triggered by the following users Flow that doesn't trigger for a selected list of users. Select the Add User icon ( ) to add users to the list.
Only run if triggered by the following users Flow that triggers only for a selected list of users. Select the Add User icon ( ) to add users to the list.
Run for any user Flow that runs for any user. Table 3. Table drop-down menu options Option Description Run only on current table Flow that is triggered only for the selected table. Run on current and extended tables Flow that is triggered for the selected table and any extended tables. - Where to run the flow
-
Determine whether to run the flow in the background or in the current session.
Option Description Run flow in background (default) Flow that runs asynchronously in the background. Use this option for flows that don't require immediate updates and to allow other system processes to run at the same time. Run flow in foreground Flow that runs synchronously in the current session. Use this option to provide immediate updates to an end user. For example, if a flow opens a task after the previous task closes, use this option to open the next task immediately after a user closes one. Note:Running a flow in foreground may block the current session thread and prevent user input until the flow finishes. Avoid running flows in the foreground when they contain actions that cannot be interrupted, such as actions that run script. Actions or flow logic that pause a flow will not block a session.
Data pills available by trigger type
Flow designers have access to data pills from the trigger.
| Trigger Type | Data pills available |
|---|---|
| Record |
|
| REST API - Asynchronous |
|
| Date |
|
| SLA Task |
|
| Inbound Email |
|
| Metric Base |
|
| Service Catalog |
|
| Kafka Message |
|
General guidelines
Follow these general guidelines when creating record triggers.
- Determine whether your flow needs a trigger or variable input
- Flows always run when their trigger conditions are met. Triggers always provide the same data as input for flows. If you need variable input to initiate a flow instead, create a subflow.
- Add conditions to specify what record values start your flow
- Starting a flow only when needed consumes fewer system resources than starting a flow, pausing it, and waiting to resume the flow until a specific record condition applies. Instead of creating a flow that starts with a Wait for condition action, redesign the flow to include the wait condition as part of the record trigger.
- Create unique conditions for record triggers on the same table
- To prevent flows from overwriting each other, create unique conditions for each flow running on the same table. If multiple flows on the same table have the same filter conditions, there is no way to know the order in which the flows run. Using conditions also helps to optimize flow performance by returning a more precise, smaller set of records.
- Ignore records added or updated by import and update sets
- Record triggers ignore records added or updated by applying an update set or importing an XML file. These operations apply to the entire application or table rather than an individual record.
- Replace record triggers on Service Catalog tables with Service Catalog application triggers
- Flow Designer no longer displays Service Catalog tables as options for record triggers. Instead, create flows that use the Service Catalog application trigger type.
- Verify that the users who trigger a flow have access to trigger condition data
- Since flows typically run as the user who triggers them, verify that users have access to all of the data specified in the trigger conditions. Avoid creating trigger conditions to related tables that typical users don't have access to. If your flow trigger conditions require access to role-restricted data, run your flows with the role needed to access that data.