Building an AI-Accelerated Compliance Automation Platform for 24x Faster Audits
Summary
Salesforce’s engineering team built FastTrack, an AI-powered compliance automation platform that speeds up mobile app audits by 24 times. By moving from fragile, manual screenshot audits to API-first, deterministic workflows, the platform ensures compliance-grade evidence is captured reliably and scalably. The solution overcomes integration limits like Google Play API restrictions by collaborating on acceptable evidence boundaries and uses AI-assisted development to accelerate production while maintaining high engineering standards. This approach significantly reduces operational risk, frees engineering capacity, and sets a new standard for automated compliance within Salesforce’s mobile environments.
Takeaways
- Replace manual compliance audits with API-driven deterministic workflows to improve reliability.
- Use AI-assisted development to accelerate complex system architecture and implementation.
- Collaborate with stakeholders to redefine evidence boundaries when upstream APIs limit data access.
- Embed validation logic and traceability for compliance-grade audit evidence within the system.
- Adopt an API-first design to build scalable, maintainable compliance automation systems.
In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today we spotlight Aastha Goyal, a Senior Manager of Software Engineering, whose team built FastTrack, a production-grade compliance automation platform for Salesforce’s mobile Apple App store and Google Play Store environments that delivers a 24× reduction in audit execution time. Explore how the team replaced fragile, multi-hour screenshot-driven compliance audits with deterministic, API-based automation and used AI-assisted development to compress the path from system design to production, delivering compliance-grade evidence through APIs never designed for audit workflows while maintaining the Salesforce engineering quality bar.