Nehal Sharma is a Senior Software Development Engineer at Amazon, where she works at the intersection of AI, content systems, and operational scale in highly regulated environments. She focuses on helping organizations integrate automation into content and knowledge workflows in ways that reduce cost, improve consistency, and support human teams. With over a decade of experience building large-scale platforms, Nehal brings a systems perspective to enterprise content strategy, governance, and operations. She is a frequent speaker on AI, risk, and organizational change, and enjoys helping content leaders move beyond experimentation to measurable, sustainable impact.

From Hype To Help: How Can AI Be Used To Scale Content Without Losing Quality

Many organizations are experimenting with AI for content, but most are still stuck in proof-of-concept mode — or worse, creating new risks, quality issues, and resistance from their teams. This session shares a practical, real-world approach to integrating AI into enterprise content operations in a way that reduces costs, improves consistency, and supports (rather than replaces) content professionals. We’ll walk through what worked, what failed, and what we changed along the way — including governance, quality control, human review, and change management. Attendees will see how AI can be used as an accelerator for content teams, not a threat, and how to design content workflows that balance automation, quality, compliance, and trust. This is not a vendor pitch or a theoretical talk : it’s a candid look at how to move beyond experimentation and make AI useful, safe, and valuable in real content environments..

In this session, attendees will learn how to:

• Identify where AI actually adds value in the content lifecycle (and where it creates risk). 2.
• Integrate AI into content workflows without sacrificing quality, governance, or trust.
• Measure success using practical metrics such as cycle time, cost per asset, reuse, and quality indicators.