AI / Cloud Assurance / Digital Trust
John Petrakis
Chief AI Officer
John Petrakis helps life sciences companies turn AI, cloud, and digital transformation into controlled, compliant operating models. He brings 30 years of global experience across business transformation, cloud compliance, cybersecurity, analytics, and digital trust for pharmaceutical, biotech, medical device, and healthcare organizations.
AI leadership
Guides USDM strategy for practical AI adoption, governance, and value creation in regulated life sciences.
Cloud assurance depth
Built around continuous compliance, validated cloud operations, release maintenance, and audit-ready evidence.
Transformation history
30 years leading strategy, implementation, and optimization across complex regulated technology environments.
John Petrakis's Credentials
John helps regulated organizations move faster without pretending compliance will magically sort itself out later.
His work connects emerging technology with the controls life sciences companies need: validation strategy, cloud operating models, AI governance, cybersecurity, data quality, and continuous compliance.
Proof points
30 years of global industry experience in business transformation
Strategy and implementation leadership for USDM Cloud Assurance
AI, machine learning, analytics, cybersecurity, and digital trust experience
Delivery background across pharma, biotech, medical device, and healthcare companies
Primary role
AI and digital trust
Helps leadership teams adopt AI, analytics, and automation inside governed life sciences operating models.
Where he helps
Cloud compliance
Supports cloud assurance, validation maintenance, cybersecurity alignment, and controlled platform modernization.
How he helps clients solve it
John Petrakis's Resources
Resources that prove the expertise.
A focused shelf of content tied to John's work across AI, cloud assurance, digital trust, and compliant transformation leader.
April 28, 2026
AI in Life Sciences: 47 Use Cases for Quality, Regulatory, Clinical, and Manufacturing Teams
A practical AI use case dossier for regulated life sciences teams moving from pilots to measurable impact.
April 29, 2026
AI Governance for Life Sciences: The Enterprise Framework for Compliant, Scalable AI
An enterprise framework for governing AI under FDA expectations, the EU AI Act, and GxP operating realities.
May 5, 2026
Work AI for Life Sciences: Why USDM Chose Glean
Why permission-aware enterprise knowledge, governed context, and traceability matter for AI adoption.
April 25, 2026
FDA AI Guidance 2025: What Life Sciences Must Do Now
A regulatory-readiness view of AI governance, documentation, risk management, and validation expectations.
April 24, 2026
The EU AI Act Is Here: What Life Sciences Companies Need to Know Now
What the EU AI Act means for regulated organizations building, buying, or governing AI-enabled systems.
February 7, 2023
Automate Validation Across Your Tech Stack
How automated validation and release assurance reduce the recurring burden of SaaS change management.
May 17, 2021
Regulated GxP Workloads in the Public Cloud
A foundational look at continuous compliance for regulated workloads across IaaS, PaaS, and SaaS.
September 5, 2024
Cloud Assurance Certified: What Does It Mean?
How Cloud Assurance Certified supports trust, vendor readiness, and audit resilience for life sciences platforms.
Contact John Petrakis
Start a conversation about AI, cloud assurance, or digital trust before the project turns into a very expensive archaeology dig.
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