32 minutesHow to Build Human-Centered AI Workflows in Localization with Shashi Bhushan
Learn how to introduce AI into localization without removing human ownership of meaning, tone, terminology and final approval.
AWS Events. This lightning talk names the business moments where human control is needed: high-stakes decisions, irreversible actions, regulatory requirements, trust-building phases, ambiguous edge cases and graceful degradation. It also shows concrete implementation mechanisms such as MCP elicitations, Step Functions callback waits and approval nodes.
The AWS service names and preview features can move. Use the decision criteria and pause/resume pattern, then implement the same controls with the stack you actually operate.
See how approval gates can be implemented as explicit workflow checkpoints rather than informal manual review after something goes wrong.
Some experience with event-driven workflows, cloud orchestration or agent-tool integration.
Last reviewed: May 19, 2026
Continue through the same learning path with the next curated companion videos.
32 minutesLearn how to introduce AI into localization without removing human ownership of meaning, tone, terminology and final approval.
30 minutesUnderstand triggers, actions and simple automation flow before adding AI to a business process.
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