How Ariel Chen built trust before she built automation

Ariel Chen, who coordinates People Operations at Figma, built a Zapier-based system to help a two-person team monitor more than 100 monthly background checks across 12 countries, where generic pending statuses previously required repeated manual review and could conceal urgent compliance or onboarding risks. Starting without automation experience, she connected Checkr to Zapier and developed four workflows that continuously sync events to Google Sheets, preserve an append-only status log, and use daily AI triage to identify the specific pending screen, candidate start-date risk, and need for escalation. The system supports rather than replaces human judgment, with staff still reviewing reports, consulting compliance experts, and using manual fallback procedures. Before relying on it, Chen tested outputs screen by screen against Checkr for five consecutive days, uncovering data-alignment bugs and improving AI prompts. The automation reduced monitoring from over three hours per week to a daily review of less than 15 minutes, freeing the team to focus on other operational priorities while illustrating an approach to high-stakes automation centered on logging, testing, and human oversight.

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