Janna Wong

I’m a Senior AI Automation Engineer with 3+ years architecting production-grade workflow automation, agentic AI systems, and multi-platform SaaS integrations for distributed international teams. I focus on automation infrastructure that’s reliable, observable, and scalable—eliminating manual operations, enforcing process standardization, and shrinking processing time dramatically.

At WeFlex, I built an end-to-end Order-to-Cash (O2C) automation platform across Zapier, Zoho Deluge, Make.com, and Airtable—reducing manual processing time by 80% and invoicing delays by 50% across the quote-to-cash lifecycle. I also designed production AI support agents on n8n, Voiceflow, and Relevance.ai, with retry handling, fallback routing, and human-in-the-loop escalation—resolving 70% of repetitive tickets autonomously and improving internal response time by 2×.

I’ve delivered event-driven reporting and operational pipelines with auditable reconciliation checks (including Google Apps Script flows that cut 10–15 hours/week of manual reporting). Previously, I engineered HR and operations automation across Apps Script, Power Automate, Zapier, and Make.com, and built Python + OpenAI transcript analysis that became a core input for agent coaching and service-quality reviews.

My approach is systems-thinking: automation is operational infrastructure, not novelty. I build for idempotency, reconciliation, and retry-safety, integrate via REST APIs/webhooks/OAuth, and prioritize observability (logging, monitoring, audit trails, and governance dashboards) so workflows are recoverable. I also document everything—runbooks, SOPs, and technical documentation—and lead enablement so teams adopt and maintain the automation independently.