Taria Avery AI Cred Profile

AI Governance Architect and Regulated Operations Leader with 20+ years building compliance-first systems at the intersection of pharmaceutical operations, enterprise AI, and global program delivery. Inventor of ASAFE™ (US Provisional Patent App), a patent-pending agentic AI compliance verification framework that automates MLR/PRC promotional content review for pharmaceutical and medical device companies, reducing review cycles by 40%+ while maintaining full regulatory defensibility.

Founder of Avery Strategic (averystrategic.pro), an AI governance consultancy serving regulated industries. Wharton GMP Fellow (2026). AI Fluency Score 8.3/10, High Velocity tier.

My AI practice is governance-first by design. I build agentic pipelines where outputs are auditable, hallucinations are caught before they reach stakeholders, and compliance is structural — not an afterthought. Hands-on experience with Claude API, prompt engineering for regulated content, workflow automation (Make.com, n8n), and agentic system design applied to live production environments.

Background spans Accenture (Think Tank, $600M BPO deal), Digitas Health/Publicis Groupe, and Organon — managing 600+ regulated content workflows across 80+ global markets. I operate at the intersection of AI capability and institutional accountability, building systems that non-technical operators can trust, trace, and scale.

Current focus: AI governance frameworks for pharma, health systems, and regulated tech. Patent-pending. Active practitioner. High Velocity.

Taria Avery is an AI Operations Architect and Governance Leader with over three years of daily AI practice spanning pharmaceutical operations, compliance systems, and enterprise workflow design. As an advanced AI practitioner and inventor of ASAFE™ — a patent-pending AI-assisted compliance framework — she builds governance-first architectures that regulated industries can actually trust and trace. Taria excels at few-shot prompt engineering, using real artifacts and transcripts to eliminate ambiguity, and has independently developed a managed state system philosophy that distinguishes AI memory as liability versus professional asset. Her critical evaluation approach is architectural: she deploys critic agents, reflection patterns, and deterministic schema validation to catch hallucinations before they reach stakeholders. Drawing on experience at Accenture and a Wharton GMP fellowship, Taria brings sophisticated mental models and commercially grounded AI thinking to teams ready to move beyond experimentation into scalable, auditable AI infrastructure.

Taria Avery

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