Automation rarely fails at the beginning. It usually does later — when a “simple workflow” surprisingly turns into a business-critical system. In Part 1, we explored Zapier and Make from a business and organizational perspective. In this part, we move into implementation reality: data structures, conditional logic, APIs, maintenance, and long-term scalability. Table of Contents: From simple automations to automation systems Data structure and field mapping in complex scenarios Conditional logic, branching, and error prevention at scale Working with custom APIs, weak documentation, and edge







