Workforce IAM programs often depend on identity data that is technically “available,” but operationally unreliable. In our environment, more than 100 applications could not be directly integrated with our IGA platform due to missing APIs, brittle interfaces, or turnaround times that made the data unusable for daily identity decisions. As a result, access data was delivered through a patchwork of manual exports, screen scraping, PowerShell scripts, and email or file-share delivery—often only on a monthly basis.

This talk shares our multi-year journey to break that pattern and restore trust in workforce identity data without waiting for vendors or application owners to modernize. We’ll walk through how we identified where human interaction was creating risk, defined what “good enough” automation looked like for non-integrated applications, and implemented a repeatable process to convert legacy extracts into timely, validated data suitable for daily ingestion.

Attendees will learn how improving data freshness and reliability directly impacted provisioning accuracy, termination handling, and overall IAM operational confidence. The session focuses on practical lessons, tradeoffs, and patterns that other IAM teams can apply when perfect integrations are not an option.