Privacy by Deployment: Architecting Agent-Driven Localization Workflows for Regulated Environments

This session presents architectural patterns for running agentic localization pipelines under constraints such as data residency. Using a localization workflow as the example, we show how constrained multi-stage systems route content, generate translations, and apply quality evaluation while keeping high-sensitivity processing inside the customer boundary. Key Takeaways - Architectural patterns for deploying constrained agentic pipelines in customer-controlled or air-gapped environments - How multi-stage systems automate localization while preserving human review where required - Design practices for domain-aware model choice, risk-tiered controls, and auditability in regulated workflows Shruti Joshi is building an AI powered secure localization stack for regulated industries such as healthcare, legal, finance that cannot send their content to a typical hosted SaaS. She brings 12+ years of engineering and architecture experience to the question this talk addresses: how do you make an agentic AI system deployable inside a regulated perimeter. Linkedin: https://www.linkedin.com/in/28shruti/ #FiftyOne #Voxel51 #DataCuration #AIAgents #ComputerVision #MCP #YOLO #DataCentricAI #skills #agenticai