GoZupees Signs AI Call Analytics Engagement with UK Carrier — Analysing Recordings Across 100,000+ Users

LONDON — December 2025 — GoZupees (Silicon Biztech Limited) today announced a new AI call analytics engagement with a major UK carrier, deploying advanced call intelligence capabilities across a user base of more than 100,000 subscribers. The engagement follows a two-path strategy designed to deliver immediate analytical value while building toward real-time call intelligence at scale.

This represents one of the largest AI call analytics deployments in the UK carrier market — moving beyond sample-based quality assurance to 100% call analysis across the carrier’s entire subscriber base.

Two-Path Deployment Strategy

The engagement is structured across two complementary delivery paths, each addressing different operational requirements:

Path 1: S3 Batch Analytics (Immediate Deployment)

• Architecture — Call recordings are ingested from the carrier’s existing storage infrastructure into a dedicated analytics pipeline within the carrier’s own AWS Virtual Private Cloud (VPC)
• Processing — GoZupees’ AI call analytics engine processes recordings in batch, applying speech-to-text transcription, sentiment analysis, topic classification, compliance flagging, and quality scoring
• Data sovereignty — All processing occurs within the carrier’s AWS environment; no call data leaves their infrastructure
• Deployment timeline — Operational within weeks of contract execution
• Coverage — 100% of recorded calls analysed, replacing legacy sample-based QA processes

Path 2: Real-Time SIP Media Forking (Phase 2)

• Architecture — Live call audio is forked at the SIP media layer in real time, enabling concurrent analysis during active calls
• Capabilities — Real-time sentiment monitoring, live compliance alerting, dynamic agent coaching prompts, and instant escalation triggers
• Use cases — Proactive intervention during problematic calls, real-time regulatory compliance monitoring, and live operational dashboards
• Deployment timeline — Planned for Phase 2 following successful validation of the batch analytics pipeline

Commercial Model

The engagement operates on a usage-based pricing model tied to LLM token consumption:

• Transparent cost structure — Pricing scales directly with actual processing volume, not seat licences or fixed platform fees
• Predictable economics — The carrier can model costs precisely based on call volumes and analysis depth
• No minimum commitments — Usage-based model eliminates risk during initial deployment phases
• Scale economics — Per-unit costs decrease as processing volumes increase, rewarding full deployment

What 100% Call Analysis Means

Traditional carrier quality assurance operates on a sample basis — typically analysing between 1% and 5% of total calls. This means that 95%+ of customer interactions go unexamined, leaving significant blind spots in:

• Compliance monitoring — Regulatory violations in unsampled calls go undetected
• Customer experience — Systemic service issues remain hidden until they reach complaint thresholds
• Agent performance — Training needs and performance patterns are identified from an incomplete picture
• Revenue protection — Upsell opportunities, churn signals, and competitive mentions are missed at scale

With 100% call analysis, the carrier gains complete visibility across every customer interaction — transforming call analytics from a retrospective audit function into a strategic operational intelligence capability.

“Carriers have been making quality decisions based on 2% of their calls. That’s like diagnosing network health by checking 2% of your nodes. With this engagement, we’re giving a major UK carrier full visibility across every single customer conversation — more than 100,000 users — with AI that processes recordings in their own infrastructure and a commercial model that scales with actual usage. This is what carrier-grade call intelligence looks like.”

— Sandeep Bansal, CTO, GoZupees

Deployment Architecture

The solution is deployed entirely within the carrier’s existing AWS infrastructure:

• VPC-native processing — All analytics run within the carrier’s own Virtual Private Cloud
• No data egress — Call recordings and transcriptions never leave the carrier’s environment
• IAM-integrated access controls — Role-based access aligned to the carrier’s existing AWS identity management
• CloudWatch monitoring — Full observability integrated with the carrier’s existing operational monitoring stack
• Encrypted at rest and in transit — AES-256 encryption for stored data, TLS 1.3 for all data movement

About GoZupees

GoZupees (Silicon Biztech Limited) is a London-based enterprise AI company building agentic AI solutions for telecom, ISP, financial services, and regulated industries. The company’s portfolio spans AI voice agents, network automation (NexOps), service assurance (Vigil), call intelligence, and Bedrock — the first AI-native operating system purpose-built for mid-market ISPs. GoZupees serves Tier-1 UK telcos and enterprise clients, delivering measurable operational cost reductions through AI agents that handle real customer interactions, not demos. For more information, visit gozupees.com.

Media Contact: GoZupees Communications press@gozupees.com