Archana Puthran

I am an Enterprise AI Strategist and Architecture Advisor specializing in responsible AI transformation for regulated industries.

My niche is in Ethical AI Frameworks, Healthcare Data Ecosystems, and Data Monetization Strategy.

I advise healthcare enterprises, leadership teams, digital health innovators, startups, consulting firms, and investors on designing and evaluating scalable healthcare AI and data platforms that unlock new products, revenue streams, and data monetization opportunities—while ensuring the responsible, trustworthy, and compliant use of healthcare data

I am the founder of Ethical-AI.AI and EthicalAI.Health, an independent initiative focused on advancing open frameworks for ethical, compassionate, and unbiased AI designed to serve humanity within high-stakes systems including healthcare ecosystems.

My work as an Enterprise Architect has catalyzed transformation initiatives within Fortune 10 healthcare organizations, where I have designed and guided architecture for large-scale platforms supporting payer systems, PBM operations, digital health ecosystems, healthcare AI solutions, and enterprise data platforms.

In addition, I have served as a Fractional CTO and Board-Level Technology Advisor, helping healthcare organizations and digital health startups shape technology strategy, guide product architecture, evaluate platform scalability, and support executive leadership and boards in making informed technology and investment decisions.

My unique advantage lies in connecting deep healthcare domain expertise with Ethical AI-enabled data strategies—envisioning new products, unlocking healthcare data monetization opportunities, and architecting scalable digital platforms that generate sustainable business value.

Areas of focus include:
• Fractional CTO leadership for digital health organizations
• Executive and Board-level technology advisory
• Ethical AI framework architecture and governance
• Ethical Data monetization strategy and data ecosystem design
• Technology diligence and architecture risk assessment for digital health and AI investments
• Digital platform and/or product strategy and new healthcare revenue models
• Enterprise technology vision, strategy, and roadmaps connecting healthcare ecosystems
• Enterprise healthcare architecture and next-generation healthcare data platforms
• Payer and PBM technology architecture and modernization
• Healthcare interoperability frameworks (FHIR, APIs, event-driven architectures)
• Healthcare solutions spanning self-funded fiduciaries, payers, providers, and PBM ecosystems