Managing 1 billion minutes of call time annually and supporting up to 306,000 daily users across digital channels.
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A major UK public service department responsible for managing critical citizen infrastructure required a transformative shift in its telephony and digital interaction model. Handling over 10 million monthly interactions, the client’s legacy "on-premise" systems struggled with the agility required for modern service delivery. The objective was to transition to an integrated, high-performance Conversational AI Managed Service that could handle 82 million annual calls with a "Zero-Disruption" migration strategy. The agency needed a scalable, future-proof platform capable of balancing technical sophistication such as complex mid-call context switching with inclusive, citizen-centric accessibility.
Managing 1 billion minutes of call time annually and supporting up to 306,000 daily users across digital channels.
Bridging the gap between legacy infrastructure and modern, data-driven cloud AI without interrupting essential services.
Providing seamless NLU support for both English and Welsh, while ensuring accessibility for neurodivergent users and diverse regional accents in compliance with required standards.
VE3 architected a high-concurrency Conversational AI framework designed to replace rigid legacy routing with intent-based, natural language understanding. The solution was built to move beyond simple keyword recognition to a dynamic model capable of handling free-form language and complex "mid-stream" context changes. The transition strategy centered on a "Zero-Disruption" cutover, ensuring that the migration of millions of interactions occurred without service degradation or voice latency.
The platform was engineered for deep interoperability, utilizing robust APIs and SIP headers to pass critical metadata across the contact center ecosystem. To ensure sub-millisecond response times, the architecture utilized a scalable Kubernetes-based orchestration layer that autoscaled compute resources to handle extreme peak volumes supporting up to 40,000 concurrent agents without compromising audio quality.
Given the sensitive nature of the client’s data, the environment was deployed within a secure and dedicated cloud infrastructure. This ensured strict adherence to GDPR and HMG data standards, providing the sovereignty required for high-stakes enterprise data while maintaining the flexibility of a managed service.
One of the most significant challenges was Omnichannel Context Preservation. In traditional systems, a citizen moving from a web chat to a phone call often must repeat their information; VE3’s solution preserved the interaction state across all touchpoints.
Scale Handled
Successfully managed the migration of a 10M+ monthly interaction volume with zero downtime.
Performance
Eliminated voice latency during peak surges, maintaining high-fidelity audio during AI-assisted self-service.
Operational Insight
Advanced analytics provided the department with real-time deflection rates and sentiment tracking, enabling continuous optimization of the citizen journey.
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The project demonstrates our proficiency in managing high-volume, sensitive datasets and migrating complex legacy ecosystems into modern, integrated AI services, capabilities that map directly to the requirements of large-scale public sector digital transformations.
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