Create automation rules using natural language
10 min
Intermediate
By the end of this lesson, you'll be able to:
- Create automation rules quickly by describing them using AI
- Explore examples of building automation rules with AI in different apps
Automation using natural language with AI
Automation rules are structured workflows designed in an “If this, then that” format. Creating automation rules in natural language simplifies the experience of getting started and creating rules. Each rule combines different types of components: triggers, conditions, branches, and actions. Think of components as the building blocks of a rule.
In Confluence and Jira apps, Automation operates seamlessly in the background to handle routine tasks that typically require manual intervention.
Inspect rules carefully before activating them
Automation is a very powerful tool that can have outcomes that can't be reversed. Prompting is an art. It is possible that the AI may not understand your prompt or misinterpret your prompt. Or you might be asking the AI to create rules beyond its capabilities. To limit the possible fallout of the AI misunderstanding the prompt, the generated rule is initially shown in a preview state so the user can inspect a rule before deciding to activate it.
Let’s create automation rules using AI
Getting started can be an overwhelming experience due to an app’s complexity. Simply type the use case you are trying to automate or a description of the rule and let the AI work its magic! Once you describe the rule, it is returned to the user as a “draft.” The user can publish the rule as is, tweak the component configurations, or discard the draft and try again.
You can use Rovo to generate rules by simply describing the rule you want to create.
Each rule must have at least one trigger and action:
- Trigger - when you want your rule to run
- Action - what you want your rule to do
Once you have created the rule, turn it on!
Let’s review a few AI-generated rules from descriptions with different components in various Atlassian apps.
Build a rule using AI in Confluence
Create a rule that runs at 9 a.m. every six months and archives any pages that haven’t been updated in that time. After archiving, it should also notify the page author via email.
👇 Click to the icons to view a rule that runs every six months. This rule archives any pages that have not been updated in the past six months and sends an email notification to the page owner.
👇 The rule and components are created based on the description entered.
Build a simple rule using AI in Jira Service Management
Write a rule that automatically transitions a work item to "Escalated" status when it breaches its Time to Close SLA.
👇 Here's a rule that automatically changes the status of a ticket to Escalated when an SLA is breached.
👇 The rule and components are created based on the description entered.
👇 Next, the missing field is fixed by selecting Time to resolution.
👇 In this example, the rule components are created.
Automation helps you and your team eliminate the need to perform manual, repetitive tasks and focus on the work that matters. Select to view more example use cases of automation in Jira Service Management.
Build a rule using AI in Jira
Instead of building rules manually, Rovo can help you build Jira workflows and automations in a matter of seconds.
👇 Watch this video to learn how you can use Rovo to streamline your way of working in Jira.
Remember, with any rule, after you create it, select the individual components, edit them to verify the details, and update them as needed. Then, turn on the rule.
Some rule components are not yet supported by AI, check Atlassian Support for supported rule components.
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next lesson
Create complex automation rules with smart values and branches
- Reference a smart value in an automation rule
- Let's explore an example
- Create branches within an automation rule