GoZupees Unveils AI Call Analytics Platform — Turning Thousands of Recorded Calls into Actionable Business Intelligence

LONDON — September 2025 — GoZupees (Silicon Biztech Limited) today unveiled its AI Call Analytics Platform, a comprehensive post-call and real-time intelligence solution that transforms recorded customer interactions into structured, actionable business intelligence. Unlike traditional quality assurance approaches that sample just 2% of calls, GoZupees analyses 100% of interactions — delivering complete visibility across compliance, churn risk, agent performance, and revenue opportunity.

The 2% Problem

The contact centre industry has operated for decades on a fundamentally flawed assumption: that sampling a small fraction of calls provides a representative view of operational performance. In practice, the 2% sample misses the majority of compliance breaches, churn signals, upsell opportunities, and agent coaching moments. Critical insights are lost in the 98% of calls that no one ever reviews.

GoZupees’ AI Call Analytics Platform eliminates this blind spot entirely.

Platform Capabilities

The platform delivers six core intelligence modules, each designed to drive measurable operational improvement:

• Full Transcription — Every call transcribed with 92-96% accuracy using domain-tuned speech-to-text models optimised for UK accents, telecom terminology, and financial services vocabulary
• Compliance Monitoring — Automated scoring against regulatory scripts, mandatory disclosures, and conduct requirements. Non-compliant calls are flagged immediately with specific violation details and timestamp references
• Churn Detection — Predictive churn scoring based on linguistic patterns, sentiment trajectory, and interaction history. At-risk customers are identified before they reach the cancellation queue
• Agent Coaching Intelligence — Performance analytics at the individual agent level, identifying strengths, development areas, and specific call examples for targeted coaching sessions
• Upsell & Cross-Sell Identification — AI-detected moments within conversations where product or service expansion opportunities were present — whether or not the agent recognised them
• Self-Service Deflection Analysis — Categorisation of call drivers to identify which enquiry types could be handled by AI voice agents or digital self-service, quantifying the deflection opportunity

Two Deployment Paths

The platform supports two distinct integration models to accommodate different operational requirements:

S3 Batch Analytics

For organisations with existing call recording infrastructure, the batch analytics path processes recorded calls at scale:

• Call recordings uploaded to a secure S3 bucket
• Automated transcription and analysis pipeline processes files in batch
• Results delivered to a structured dashboard with drill-down capability
• Ideal for historical analysis, compliance audits, and trend identification

Real-Time SIP Media Stream

For organisations requiring live intelligence, the real-time path analyses calls as they happen:

• SIP media stream forked directly from the GoZupees SBC or client infrastructure
• Live transcription and analysis during the active call
• Real-time alerts for compliance violations, churn signals, and coaching prompts
• Enables supervisors to intervene during calls, not after them

Intelligence Dashboard

Both deployment paths feed into a unified analytics dashboard providing:

• Compliance score distribution across teams and time periods
• Churn risk heatmaps by customer segment and call category
• Agent performance rankings with drill-down to individual call examples
• Call driver categorisation with self-service deflection potential
• Trend analysis across weeks, months, and quarters
• Exportable reports for regulatory submissions and board reporting

“Every enterprise we speak to is sitting on thousands of hours of recorded calls they’ve never analysed. That’s not just a missed opportunity — it’s an operational blind spot. Our platform turns that archive into a strategic asset. Compliance teams get full coverage instead of spot checks. Operations leaders get churn signals weeks before the customer calls to cancel. And agents get coaching based on real data, not gut feel.”

— Aashi Garg, Co-Founder, GoZupees

Measurable Outcomes

Early deployments of the AI Call Analytics Platform have demonstrated:

• 100% call coverage replacing 2% manual sampling
• Compliance breach detection increased by an order of magnitude
• Churn prediction accuracy enabling proactive retention interventions
• Agent coaching efficiency improved through data-driven, call-specific feedback
• Self-service deflection roadmaps quantified with actual call driver data

Availability

The GoZupees AI Call Analytics Platform is available immediately for UK enterprise clients across telecom, insurance, financial services, and property management. Both S3 Batch Analytics and Real-Time SIP Media Stream deployment paths are supported from day one.

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