When and How to Use Record-Triggered Flows in Salesforce

Vladimir Bjelajac
Salesforce Administrator
February 12, 2024

blog flows

Understanding Record-Triggered Flows

Record-triggered flows are a type of flow in Salesforce that execute automatically when a record is created, updated, or deleted. They are part of the Flow Builder toolset, which allows for declarative (clicks, not code) automation. Record-triggered flows can be designed to carry out a wide range of actions, such as updating fields, creating records, sending emails, and calling Apex classes, all based on the logic defined within the flow.


When to Use Record-Triggered Flows

Record-triggered flows are best used in scenarios where complex logic or multiple related actions need to be performed automatically in response to record changes. They are particularly useful when:

Complex Decision Logic is Required: When your automation needs to make multiple decisions or complex branching based on field values or related records.

Multiple Objects are Involved: If your automation affects not just the triggering record but also related records or requires creating new related records.

You Need Before-Save Operations: For operations that need to occur before a record is saved (e.g., modifying field values on the record being saved), which can improve performance significantly.

Replacing Workflow Rules and Process Builder: Salesforce recommends using Flow Builder for new automation, as it is more powerful and flexible than its predecessors.


How to Use Record-Triggered Flows

Creating a record-triggered flow involves several steps:

Define the Trigger: Choose when the flow should run (e.g., when a record is created, updated, or deleted).

Set Entry Conditions: Specify the conditions that must be met for the flow to trigger.

Design the Flow Logic: Use elements like Get Records, Decision, Assignment, and Loop to define what the flow does.

Configure Actions: Add actions like Create Records, Update Records, or Send Email to specify what happens when the flow runs.

Test Your Flow: Before deploying, test your flow thoroughly to ensure it behaves as expected.


Practical Use Case:

Automated Discount Approval Process

Scenario: Your company offers volume discounts to customers who order large quantities. However, discounts above 15% must be approved by a manager.

Solution: A record-triggered flow can automate this process:

Trigger: The flow is triggered when an Opportunity record is updated.

Entry Conditions: The flow checks if the discount percentage field on the Opportunity has been modified and if the new discount is above 15%.

Logic: If the conditions are met, the flow automatically creates a Task record assigned to the manager for discount approval and updates the Opportunity status to "Pending Approval."

Efficiency: This eliminates manual steps, ensures timely approval requests, and keeps the sales process moving smoothly.

This use case exemplifies how record-triggered flows can streamline complex processes, reduce manual work, and enforce business rules consistently.


Conclusion

Record-triggered flows in Salesforce offer a powerful way to automate business processes directly related to record changes. By understanding when and how to utilize these flows effectively, Salesforce administrators and developers can significantly enhance operational efficiency and enforce business logic automatically. The key is to carefully plan your flows, thoroughly test them, and continuously monitor their performance to ensure they meet your business needs. With record-triggered flows, the possibilities are virtually limitless, empowering you to create more dynamic, responsive, and efficient Salesforce environments.

Share this article:
View all articles

Related Articles

How AI Automation Finds Upsell and Cross-Sell Opportunities in Your CRM featured image
January 15, 2026
Most CRMs contain far more revenue potential than teams are able to unlock manually. Usage data, support history, renewal timing, and engagement signals all point toward upsell and cross-sell opportunities, but identifying those patterns consistently is nearly impossible at scale without automation. AI changes that by continuously analyzing CRM and connected system data to surface actionable revenue insights. Instead of relying on intuition or sporadic reports, AI models identify patterns that historically lead to successful expansions and apply them across the entire customer base. These AI recommendations help sales, customer success, and marketing teams align around the right accounts at the right time with offers that feel relevant rather than pushy. Over time, the system learns from outcomes and improves its accuracy, turning the CRM into a proactive revenue engine rather than a passive database.
When You Need More Than Zapier: Custom AI Solutions for Complex Integrations featured image
January 14, 2026
No-code integration tools like Zapier work well for simple automations, but they quickly reach their limits as businesses grow. When workflows require complex logic, multiple systems, advanced error handling, and data enrichment, generic tools become fragile and difficult to maintain. This is where custom AI integrations become essential. Custom integration layers powered by AI allow businesses to orchestrate APIs intelligently, apply business rules dynamically, and reason over data instead of simply passing it between systems. By centralizing automation logic, companies avoid the spaghetti mess of point-to-point connections and gain better visibility, reliability, and control. AI adds an additional layer of intelligence by classifying events, detecting anomalies, and choosing the correct workflow paths. For organizations where data accuracy and operational reliability directly impact revenue, moving beyond Zapier is not an upgrade. It is a requirement for sustainable growth.
Meet Your AI Salesforce Admin: Automating Everyday Configuration Tasks featured image
January 13, 2026
Salesforce administrators spend a large portion of their time handling repetitive configuration requests that slow down the entire organization. From creating fields and updating page layouts to fixing broken automations and adjusting validation rules, these small tasks pile up quickly and reduce overall productivity. An AI Salesforce Admin changes how this work gets done by automating everyday configuration tasks safely and consistently. Instead of submitting tickets and waiting days for updates, teams can describe their needs in natural language while the AI agent interprets the request, applies governance rules, and executes or prepares changes for approval. With built-in guardrails, audit trails, and permission controls, automation does not mean loss of control. It means faster changes, cleaner data, and more time for human admins to focus on architecture, scalability, and long-term CRM strategy. The result is a Salesforce environment that keeps pace with business growth rather than holding it back.

Unlock the Full Power of AI-Driven Transformation

Schedule Demo

See how Anablock can automate and scale your business with AI.

Book Demo

Start a Support Agent

Talk directly with our AI experts and get real-time guidance.

Call Now

Send us a Message

Summarize this page content with AI