Frank Ginac

WORK HISTORY

EDUCATION

SKILLS

ABOUT FRANK GINAC

Most enterprises have an AI strategy. Very few have AI that works at the scale and trust level that enterprise decisions demand. The gap between those two things is where I operate.As Co-Founder and Chief Technology & AI Officer of TalentGuard, I lead the applied AI work that turns workforce strategy into defensible, measurable business outcomes. That means building the data infrastructure that enables high-efficiency AI inference — not just deploying models, but engineering the trusted, governed data layer on which those models depend.My current work centers on bringing ESTRI (Enterprise Skills Trust & Readiness Intelligence) to life in a production enterprise platform. ESTRI is a governance framework conceived by TalentGuard CEO Linda Ginac — my role is operationalizing it: architecting the systems, leading the engineering, and driving the customer outcomes that prove the model works.What that looks like in practice:WorkforceGPT — the AI system I architected — builds the verified, structured skills data layer that makes downstream talent algorithms trustworthy. Career pathing recommendations, readiness scoring, workforce gap analysis, and succession logic all depend on the quality of that foundation. Get the data layer right, and every decision downstream becomes defensible. Get it wrong, and no amount of algorithmic sophistication saves you.Customer outcomes I’ve helped drive:• 87% reduction in skills taxonomy maintenance vs. manual curation• 94% role-to-skills alignment accuracy — governance-validated, audit-ready• 80% improvement in internal promotion rates — Vonachen Group employees)• 25% reduction in management turnover — Vonachen Group• $1.2M in job architecture cost savings delivered to a single customer• Record customer satisfaction scores — Version 1 global IT services firm)• Brandon Hall Group HRTech Innovator Award — WorkforceGPTThe player-coach model:I still architect systems, review model behavior, and write production code. I also sit in executive conversations, translate AI capabilities into business cases, and ensure the work connects to outcomes the board can measure. That combination — technical depth plus business accountability — is what I bring to advisory and fractional engagements.If you’re building something serious with AI — or inheriting an AI initiative that hasn’t delivered — let’s talk.