Fingermark's Eyecue platform turns drive-thru video feeds into real-time operational intelligence for some of the world's largest QSR brands. Using hybrid edge-cloud architecture on AWS, they track every customer journeycapturing precise timing at order points, windows, and bayswhile keeping sensitive data at the edge. Now they're taking the next leap: agentic AI powered by Amazon Bedrock AgentCore. Autonomous agents automatically answer compliance questions"Are there spills Are staff following food handling protocols"replacing manual audits with continuous monitoring. See how a Kiwi company scaled from local innovation to global impact, and from computer vision to autonomous agents.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
Drive-thru video → real-time operational intelligence. Hybrid edge-cloud architecture. Now adding agentic AI for compliance — autonomous agents answer questions like "Are there spills? Are staff following food handling protocols?"
Why it matters
QSR is operationally intense and labor-heavy. AI directly affects unit economics.
The hard parts
Edge compute for vision is bandwidth-intensive. Hybrid is necessary, not optional.
Playbook moves
(1) Edge for inference, cloud for aggregation. (2) Don't ship video to cloud. (3) Tier sensitivity — keep PII at the edge.
The surprise
The transition from "vision AI tells you what's happening" to "agentic AI tells you what to do about it" is a meaningful step up. Most vision-AI deployments are stuck at observation; the unlock is *action*. That's the next investment frontier in physical-world AI.
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Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.
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