Superintelligence. Coming to a Flow Near You.

The Flow integration is designed to be user-friendly for business analysts and non-technical users. You can simply drop GPTfy action components into any Salesforce flow using the standard flow builder interface. The system provides pre-configured prompts that can be easily customized with record IDs and event parameters. No coding knowledge is required - you can chain multiple AI prompts together and process them asynchronously with built-in wait conditions. Watch the automated follow-ups demo at /resources/demo/automate-follow-ups.

The Apex integration enables developers to build advanced AI capabilities into triggers, batch jobs, and integrations. You can create intelligent workflows that respond to data changes across your org, analyze large datasets through scheduled jobs, and build custom automations that integrate with external systems. The clean RequestWrapper and ResponseWrapper classes provide programmatic access to any prompt with comprehensive error handling and proper documentation.

Faster AI automation development is achieved by eliminating the need to recreate AI logic from scratch. Instead of building custom AI integration code, developers can connect pre-built prompts to flows and Apex processes. This reduces development time, decreases technical debt, and enables business teams to implement AI solutions through familiar interfaces, resulting in faster delivery of intelligent automation capabilities.

The system includes comprehensive security and compliance features. Every AI execution is logged with detailed audit trails that record prompts, tokens, and results for compliance monitoring. The platform event architecture ensures reliable processing with built-in error handling. Unlike other solutions that send data to external services, GPTfy runs directly in your Salesforce org with your secured AI infrastructure, maintaining production-ready security standards.

GPTfy uses platform events for asynchronous processing, which avoids hitting callout limits within synchronous Flow transactions. When the executePrompt action fires inside a Record-Triggered Flow, GPTfy publishes a platform event that executes the AI callout in a separate transaction. This architecture supports high-volume scenarios where hundreds of records trigger AI execution simultaneously without exceeding governor limits.

Yes. GPTfy's platform event architecture supports multi-step AI workflows within Salesforce Flows. The first executePrompt action can analyze a record and write results to a field, then a subsequent Flow step can pass those results into a second prompt for further processing. Use wait conditions and decision elements between steps to build conditional AI pipelines. For example, only escalating to a reasoning model if the initial classification is uncertain.