Silver State Schools Credit Union cuts wait times 59% and saves $41K/month with Glia AI voice assistant

Silver State Schools Credit Union (SSSCU) needed to scale member service without proportional headcount growth. Serving 60,000 members across 10 branches in the greater Las Vegas valley with $1.2 billion in assets, the credit union experienced a sustained shift from in-branch visits to phone interactions, driving up call volumes. Their legacy touch-tone IVR compounded the strain by routing many calls to the wrong queues. Meanwhile, the credit union's digital chat operated as a separate system, not integrated with the call center and cumbersome to manage. The cumulative result was rising average wait times and staffing challenges.

SSSCU selected Glia's unified Interaction Platform, deploying Glia Voice (cloud call center), Phone GVA (AI voice virtual assistant), and Glia Digital simultaneously — completing the full implementation in under 100 days. Rather than a phased rollout that would require members to repeatedly relearn service channels, the credit union launched the entire stack at once. The Phone GVA now serves as the primary contact center entry point, greeting callers, autonomously resolving routine inquiries, and routing complex interactions to the appropriate specialist queues. When a call escalates to a human representative, the GVA passes a complete conversation transcript, enabling agents to continue without re-prompting the member. Built on Glia's ChannelLess® architecture, the platform consolidates voice, AI, and digital into a single management interface — replacing the legacy IVR and siloed chat with a cohesive, channel-agnostic member experience.

The Phone GVA now fully contains 33% of all inbound calls without human intervention across more than 19,000 monthly calls handled on the platform. Average wait time dropped 59%, and average handle time fell by 2 minutes and 11 seconds per call. Savings are estimated at $41,600 per month. Key outcomes:

• Call volume growth absorbed without proportional headcount expansion
• Service representatives redirected from repetitive inquiries to more complex member interactions
• Unified platform replaced disconnected legacy IVR and siloed digital chat, simplifying operational management

Qualitatively, SSSCU preserved its concierge service model at scale — maintaining personalized service while handling meaningfully more volume.

• Deploying voice AI, call center, and digital channels simultaneously — rather than sequentially — avoids member relearning cycles and reduces change management overhead.
• AI-to-human handoffs only deliver value when full conversation context transfers at escalation; transcript continuity is what eliminates member repetition.
• Post-launch iteration on virtual assistant phrasing and routing logic is essential — containment rates are sensitive to response wording, not just scope of topics handled.
• A unified platform with a single management interface meaningfully reduces operational complexity versus bolting AI point solutions onto legacy call center infrastructure.
• Avoiding pure call deflection strategies in favor of intelligent routing preserves the member experience while still capturing efficiency gains.