The Physical AI Deployment Gap in Mission-Critical Operations

AI innovation is advancing rapidly, yet deployment in real-world operations remains complex. The Physical AI deployment gap describes the difference between impressive research results and reliable production systems.

Mission-critical environments such as public safety, aviation, healthcare, and utilities impose strict requirements around latency, uptime, integration, and compliance.

AI deployment success depends less on model novelty and more on infrastructure integration. Systems must connect seamlessly to dispatch platforms, video systems, sensor networks, and operational workflows.

One often overlooked integration layer is live operational voice. Field teams coordinate through radio and push-to-talk communication. Without structured voice integration, AI systems remain partially disconnected from real-time execution.

Operational Voice Intelligence reduces the deployment gap by converting live radio traffic into structured operational data that integrates across multimodal systems.

Original essay: Andreessen Horowitz

‍