Morgan Templar

Background

About Morgan Templar

CHIEF AI OFFICER | HEAD OF GLOBAL AI INNOVATION | AI & DATA STRATEGY Enterprise AI Platforms • Internal AI Transformation • Generative AI • AI Product Lifecycle Management “Governance is no longer something we review. It is something we engineer into the moment of execution – where decisions are made, constraints are enforced, and AI systems and agents operate within defined authority.” – Morgan Templar Deep expertise leading enterprise AI strategy, generative AI adoption, AI product lifecycle management, MLOps governance, intelligent workflow automation, and production-scale deployment of AI-enabled solutions across complex matrixed organizations including large-scale AI, data, governance, and operational modernization initiatives across highly regulated healthcare environments. Experienced operationalizing AI capabilities including machine learning, large language models (LLMs), conversational AI, and AI copilots within secure, compliant, and highly governed enterprise environments. Recognized industry leader in embedding governance, observability, auditability, and operational accountability directly into AI execution pathways through machine-enforceable governance architectures. Fluency across AI platform architecture, cloud-native AI services, APIs, orchestration frameworks, vector-enabled semantic architectures, enterprise data platforms, and scalable AI operational controls. Former executive leader at Highmark Health responsible for a $200M enterprise cloud-native data and AI platform and a $175M+ digital product portfolio supporting governed AI-driven decision systems, analytics modernization, and enterprise operational transformation. Trusted advisor to executive leadership teams and governance councils, translating AI capabilities into scalable enterprise adoption, measurable ROI, operational readiness, and responsible AI execution. Co-Chair of global AI governance and operational controls initiatives through the EDM Association, helping define governance standards aligned to the EU AI Act, NIST AI RMF, ISO 42001, and enterprise AI operational frameworks in collaboration with healthcare, financial services, and hyperscale technology organizations. Executive architect of Agentic Executable Governance© (AEG) – a governance class for AI-native enterprises operating at scale, where machine-enforceable policies, authority structures, observability controls, and constraints are embedded directly into AI, data, and transactional systems.(patent pending)