One of the most well-known and influential platforms for enterprise applications, Salesforce provides various solutions for CRM, marketing, analytics, and other areas. However, assuring quality, speed, and coverage across intricate and dynamic workflows can be difficult when testing Salesforce apps. Because of this, many businesses are searching for methods to use AI-driven test automation Salesforce systems.

The Challenges of Salesforce Testing

Salesforce testing examines the applications’ usability, performance, security, and functionality. Validating the data flows and business logic between various systems coupled with Salesforce is also necessary. However, several issues make Salesforce testing challenging and time-consuming.

Manual testing can’t keep up with Salesforce’s constant updates and changes since it’s sluggish and prone to human mistakes. For instance, Salesforce publishes three significant changes per year that may impact the operation and efficiency of your applications.
Some portions of Salesforce testing can be automated using code-based test automation frameworks available in the market. Still, they also need a lot of scripting, upkeep, and technical know-how. Additionally, they must be made to manage the dynamic components and locators found in Salesforce applications like Lightning Web Components, Visualforce pages, Aura components, and custom objects. Your test automation scripts may become brittle and unreliable as a result.

Your testing procedure becomes even more complex and variable as a result. Ensure your test automation platform can easily support a variety of technologies and platforms. Integrations with other business applications and tech stacks, such as ERP systems, databases, web services, APIs, etc., are part of end-to-end testing across the Salesforce ecosystem.

The Benefits of AI-Driven Test Automation Platforms

You need a test automation platform designed for Salesforce and beyond to overcome these obstacles and speed up your Salesforce testing process. AI-driven test automation platforms use artificial intelligence and machine learning to build and run data-driven, robust, and adaptable test cases. They have several advantages over conventional test automation frameworks, including:

Using cutting-edge algorithms and approaches, they can handle the dynamic elements and locators in Salesforce applications by identifying and interacting with them. When the UI or functionality of the application is altered, they may also automatically update your test cases.

To store information about the testing process, such as test case results and issue reports, they can integrate with Git (source control) and JIRA (bug tracking). Thanks to this, you may efficiently collaborate with your team members and monitor the status of your testing.

They facilitate end-to-end testing throughout your Salesforce ecosystem by offering seamless support for numerous enterprise apps and technology stacks. By confirming the data flows and business logic between various platforms, they can assist you in performing automated integration testing in Salesforce.

They provide a codeless, cloud-optimized, risk-based method for Salesforce testing that can shorten your release cycles, save your expenses, and raise the caliber of your software. Creating and running tests is quicker and simpler without writing code or installing software.

Final Words

One of the best AI-Driven test automation for enterprise is Opkey. They offer omni channel testing at scale, real-time change visibility, and platform update certification. Key benefits of using Opkey is that it accelerates testing up to 10 times, reduces business downtime by 90% and saves IT costs by 75%. Opkey even guarantees a 3-day certification update with 30,000+ pre-built test accelerators. It even eliminates 80% of maintenance efforts.