From Prototype to Production: Agentic AI for Automotive & Manufacturing

About this session

Most GenAI pilots stall in the gap between a slick demo and a system the business can trust. Drawing on real automotive/manufacturing enterprise work, this talk covers what changes when agentic AI has to run in production on AWS: orchestration and memory across agents, guardrails and evaluation, cost/latency control, and the org patterns that get a pilot approved for rollout. I'll share specific numbers, what broke, and what actually moved the needle — so attendees leave with a practical checklist for pushing their own AI projects past the pilot wall.

Speaker

• Varun Saxena, Senior Solutions Architect, Amazon Web Services (AWS)

Key takeaways

• The 5 failure modes that stall enterprise GenAI pilots — and how to design around them
• A production-readiness checklist for RAG and multi-agent systems: guardrails, evaluation, cost/latency, and observability
• How to frame cost, risk, and ROI so AI projects actually get approved and shipped

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