Henna Davar is an AI Engineering leader at American Airlines, driving enterprise‑scale transformation through generative and agentic AI platforms. She leads the strategy, governance, and execution of the airline’s most critical AI initiatives, with a focus on orchestration layers, platform architecture, and trusted AI infrastructure.

Her work defines how autonomous AI systems are built and operated at scale - establishing standardized agent runtimes, orchestration patterns, tool registries, and control frameworks that enable teams to deploy AI agents safely while meeting rigorous security, privacy, and regulatory expectations.

Henna embeds governance directly into the AI platform, integrating orchestration engines, identity and access management, cost controls, and deep observability to ensure AI systems are auditable, resilient, and aligned with enterprise risk tolerance. This approach enables innovation to scale without compromising trust or operational integrity.

She partners closely with executive leadership and cross‑functional teams across cybersecurity, legal, privacy, and platform engineering to translate emerging agentic AI capabilities into durable, enterprise‑approved architectures. Her leadership bridges strategy and execution in one of the world’s most complex and regulated industries.

At Ai4, Henna brings an executive practitioner’s perspective on building orchestration layers for agentic AI - sharing real‑world lessons on how large enterprises can scale autonomous systems responsibly, govern AI through software, and design infrastructure that balances speed, trust, and long‑term business value.

Henna holds a Master of Science in Computer Science and a Bachelor of Science in Electrical Engineering, and has completed postgraduate studies in Artificial Intelligence at The University of Texas at Austin, with a focus on applied and enterprise AI.