Representative engagement · Anonymised
Case Study
Quick Service Restaurants
Cognitive AI Voice Agents & Delivery Orchestration
Cognitive AI Voice Agents & Delivery Orchestration
A representative engagement presented in the format used in government capability responses: challenge, role, scope, security, delivery model, and outcomes. Details that cannot be disclosed without customer consent are available on request.
Integrating real-time voice recognition and multi-platform delivery dispatch created critical latency during peak lunch hours.
Axisonic architected a localized low-latency LLM agent proxy and voice-to-JSON ordering system using edge-cached model endpoints, and rebuilt the order pipeline end-to-end — from the moment a customer speaks to the instant a courier is dispatched.
API authentication and rate limiting on all endpoints, prompt-injection screening on voice and LLM inputs, and encrypted data in transit.
Australian-led delivery with Axisonic engineers accountable end-to-end. Specialist support is engaged under written agreements, with Axisonic retaining quality assurance, security governance, and client communication.
92% of queue requests resolved by autonomous voice ordering
40% reduction in order queue wait times
22% lift in dining room throughput
+180% order processing efficiency at peak load
Outcomes are as reported by the customer for this engagement. Verification and references are available on request.
Customer reference available on request.
Contact Reyman Pty Ltd to arrange a reference conversation with the relevant customer where consent is in place.