Overview
Industry
Software Development / Enterprise Software (SaaS)
Region
United States (US)
Company Size
1000-1100 Employees
Featured Solution
Salesforce CPQ Test Automation
About the Client
The client is a US-based provider of cloud enterprise software solutions designed for the built environment. Their SaaS applications help enterprises manage facilities, streamline lease administration and compliance, optimize workplaces, and improve asset performance through connected operational intelligence. Serving more than 5,000 organizations globally, the company supports enterprises across healthcare, retail, education, manufacturing, and commercial real estate. Its solutions help businesses manage large-scale infrastructure, facilities, and workplace environments more effectively.
Increasing Salesforce CPQ Complexity Created the Need for a More Scalable QA Approach
The customer’s Salesforce CRM and Salesforce CPQ environment supported complex quote-to-cash workflows across New Business, Upsell, and Renewal operations. As the platform continued evolving through ongoing enhancements and monthly releases, maintaining regression efficiency and release consistency became highly challenging within the existing QA model.
Having supported the client through a long-term manual QA engagement, Grazitti’s experts identified an opportunity to modernize regression validation through a scalable automation-first framework tailored for Salesforce Lightning and CPQ environments.
The Operational Impact of Manual Salesforce CPQ Regression Testing
Nearly Eight Hours Spent on Every Regression Cycle
The monthly release validation required close to a full working day of manual regression effort, slowing QA throughput and extending release validation timelines.
Limited Coverage Across 150+ Business-Critical Scenarios
Despite significant manual effort, only around 70% of regression scenarios across New Business, Upsell, and Renewal workflows were consistently validated.
Repetitive Validation Effort Across Every Release
QA teams repeatedly executed the same quote-to-cash validation steps during each release cycle, increasing operational effort without improving scalability.
Salesforce Lightning and CPQ UI Complexity Reduced Automation Reliability
Dynamic Lightning components, Shadow DOM rendering, custom lookup fields, and CPQ iframe dependencies created persistent stability challenges for conventional automation approaches.
Inability to Run Regression Validation More Frequently
Because regression execution remained heavily manual, the customer could not support more frequent validation cycles across ongoing Salesforce updates and enhancements.
Transformed Salesforce CPQ Regression Testing into a Scalable Automation-First QA Model
To help the customer overcome these challenges and modernize regression operations across their evolving Salesforce ecosystem, our experts implemented a structured automation-first QA approach.
- Built a Hybrid Salesforce Automation Framework
First, our team developed a hybrid UI and API automation framework using Playwright and TypeScript. The framework was purpose-built for Salesforce Lightning and Salesforce CPQ environments to support stable and repeatable end-to-end regression execution.
- Automated End-to-End Quote-to-Cash Workflows
Next, we automated complete Lead-to-Contract journeys across New Business, Upsell, and Renewal processes. This enabled business-critical regression scenarios to run reliably without manual intervention during release cycles.
- Engineered Specialized Handling for Salesforce Lightning and CPQ UI Complexities
To improve automation stability, we implemented support for Salesforce-specific UI behaviors, including dynamic Lightning components, Shadow DOM rendering, custom lookup interactions, and CPQ iframe handling.
- Integrated AI-Assisted Engineering Into Automation Development
We leveraged Claude Code with Claude Opus and Sonnet models to accelerate reusable test generation, scripting activities, and automation development workflows across the framework.
- Strengthened Reporting, Test Data Management, and Release Operations
The solution incorporated Playwright Fixtures, ExcelJS-based test-data registry management, Allure reporting, GitLab CI/CD pipelines, and automated execution summary tracking to improve release visibility and regression coordination.
- Extended the Framework for Future RCA (now ARM) Compatibility
Finally, we aligned the framework for Revenue Cloud Advanced (now Agentforce Revenue Management) compatibility, allowing future automation initiatives to reuse existing assets with only 25% of the typical maintenance effort.
Repeatable Regression Validation Model for Salesforce CPQ Releases
The solution transformed regression validation from a repetitive manual QA activity into a scalable and repeatable quality engineering process for Salesforce CPQ operations. Automated business-critical quote-to-cash workflows improved the customer’s release confidence, execution consistency, and overall regression scalability across ongoing Salesforce enhancements.
The initiative also improved automation reliability within complex Salesforce Lightning and CPQ environments while creating reusable automation assets for future Salesforce and RCA/ARM-related initiatives. Additionally, it established a controlled approach for introducing AI-assisted engineering workflows into enterprise QA operations without disrupting existing release processes.
Highlights
70%
Reduction in Manual Regression Effort
3X
Faster Regression Execution Time
90%+
Regression Coverage Across Business-Critical Workflows
75%
Reduction in Maintenance Effort for RCA/ARM-Compatible Automation
Conclusion
Regression testing in complex Salesforce environments directly shapes how reliably teams can deliver each release. But CPQ regression is rarely the only pressure point. As Salesforce ecosystems grow, so do the gaps. They exist in:
1. Test coverage across integrated platforms
2. Validation consistency when NS-SFDC or ARM workflows come into the picture, and
3. The effort required to keep automation assets current through continuous platform changes.
These are solvable problems. If your team is navigating any of these or related challenges within your Salesforce or CPQ environment, reach out to us at [email protected].
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