How to Use Conditional Logic in Workflows
Why Conditions Matter in Automation
Without conditional logic, a workflow is just a straight line: trigger fires, steps execute in order, done. That works for simple tasks like "send a confirmation email after every purchase." But most real business processes involve decisions. Should this support ticket be escalated or handled automatically? Is this customer eligible for a discount? Did the previous step succeed or fail?
Conditions turn your workflow from a script into a decision engine. Every branch point represents a choice that used to require a human to evaluate. When you automate those choices, the workflow handles the routine cases instantly and only involves a person when the situation falls outside defined rules.
How Conditions Work in Chain Commands
In the Chain Commands visual editor, a condition is a node that evaluates an expression and routes execution to one of two or more output paths. The condition node checks a variable from an earlier step, compares it against a value, and follows the matching path.
Simple Conditions
The most basic condition checks a single value. For example, a workflow that processes new form submissions might check the "state" field. If the state is in a list of states your business serves, the workflow continues to the lead creation step. If not, it sends a "we do not serve your area" email and stops. The condition node compares the variable against your criteria and follows the appropriate branch.
Compound Conditions
You can chain multiple condition nodes in sequence to create compound logic. A lead routing workflow might first check the lead source (organic vs paid), then check the lead score (high vs low), then check the product interest (product A vs product B). Each condition narrows the path until the lead reaches exactly the right handler. This is equivalent to nested if/else statements in code, but you build it visually by connecting nodes.
AI-Powered Conditions
For decisions that cannot be reduced to simple value comparisons, use an AI model as your condition. A workflow that processes incoming emails can send the email text to an AI node with instructions like "classify this email as complaint, question, purchase_inquiry, or spam and return only the category." The next condition node checks the AI's response and routes accordingly. This handles the messiness of natural language that rule-based conditions cannot. See How to Add AI Decision-Making to Your Workflows.
Setting Up Your First Condition
Look at your workflow and find where a human currently makes a choice. "If the order total is over $500, apply the bulk discount" or "if the customer has been inactive for 30 days, send a re-engagement email." That decision becomes your condition node.
The condition node needs to check a value, so that value must come from an earlier step in the workflow. If you need to check a customer's purchase history, add a database query step before the condition that retrieves the relevant data. Variables from earlier steps are available to all later steps in the chain. See How to Use Variables Across Workflow Steps.
In the chain commands editor, add a condition node after the step that provides the data. Configure the comparison: which variable to check, what operator to use (equals, greater than, contains, is empty), and what value to compare against. Draw connections from the condition node's output ports to the steps that should execute for each outcome.
Each branch after a condition needs its own sequence of steps. The "true" path might send a notification and update a database record. The "false" path might log the event and continue to the next check. Make sure both paths end properly, either with a final action or by reconnecting to a shared downstream step.
Run the workflow with test data that triggers each branch. Verify that the condition evaluates correctly and that each path executes the right steps. Check edge cases: what happens when the value is empty, when it is exactly at the threshold, or when the data format is unexpected.
Common Condition Patterns
Threshold Routing
Route items based on a numeric value. Lead scores above 80 go to the sales team, scores between 40 and 80 go to nurture campaigns, scores below 40 get a basic follow-up email. Order values above a threshold get premium handling. Support ticket urgency scores determine response priority.
Category Branching
Route items based on a text category. A form submission's "department" field routes to different team members. An email's detected intent routes to different response templates. A product category routes to different fulfillment workflows.
Existence Checks
Check whether data exists before acting on it. Does this customer already have an account? Does this record have an email address? Did the previous API call return a result? Existence checks prevent errors by skipping steps that would fail on missing data.
Time-Based Conditions
Evaluate time-related values. Has the customer's subscription been active for more than 30 days? Is today within the promotional window? Has more than 48 hours passed since the last interaction? Time conditions often work with scheduled workflows that run daily and check dates stored in the database.
Error Handling Branches
Check whether a previous step succeeded or failed. If an API call returns an error, route to a retry or alert path instead of continuing with missing data. Error conditions make your workflows resilient. See How to Handle Errors in Automated Workflows.
Combining Conditions With Loops
Conditions become especially powerful inside loops. A workflow that processes a list of customers can loop through each one, check a condition (is this customer overdue on payment?), and take different actions per customer. The loop iterates, the condition filters, and each customer gets the appropriate treatment automatically. See How to Loop Through Data in a Workflow.
Build workflows that make smart decisions automatically. Add conditions, AI classification, and branching logic to handle any business process.
Get Started Free