GoZupees Delivers AI Agent Co-Pilot for Live Customer Calls — Turning Every Agent into Your Best Agent from Day One

LONDON — March 2026 — GoZupees (Silicon Biztech Limited) today announced the release of the VerSense COACH module — an AI-powered co-pilot that assists human agents during live customer calls with real-time knowledge surfacing, sentiment monitoring, guided scripting, and automatic post-call summarisation.

COACH is designed to close the performance gap between new hires and experienced agents from the first call, delivering contextual guidance that enables every agent to perform at the level of the team’s best operators — without months of ramp-up time.

The Agent Performance Gap

Contact centres face a persistent challenge: experienced agents consistently outperform newer colleagues on first-call resolution, average handle time, customer satisfaction, and retention save rates. The knowledge and instincts that make top performers effective take months or years to develop — and every new hire spends that ramp-up period delivering a lower standard of service.

Training helps, but it cannot replicate the pattern recognition, product knowledge recall, and conversational intuition that experienced agents develop through thousands of real interactions. COACH bridges this gap by providing that expertise in real-time, directly within the live call.

The 6-Step Live Call Flow

COACH operates through a structured six-step process that runs continuously throughout every customer interaction:

Step 1: Pre-Call Context Load

Before the agent even picks up the call, COACH assembles a complete customer context panel:

• Customer identity, account status, and contract details
• Recent interaction history — previous calls, tickets, complaints
• Open incidents and their current resolution status
• Network performance data for the customer’s service
• Churn risk score and any active retention flags
• Payment status and billing history

The agent starts the conversation already knowing who the customer is, what has happened, and what is likely driving the call.

Step 2: Real-Time Transcription

As the conversation begins, COACH transcribes both sides of the call in real-time, creating a running text stream that feeds the subsequent analysis steps. The transcription is optimised for telecoms vocabulary, customer service terminology, and natural conversational speech patterns.

Step 3: Knowledge Surfacing

Based on what the customer is describing, COACH automatically retrieves and presents relevant knowledge articles, troubleshooting procedures, product information, and policy details. As the conversation evolves, the knowledge panel updates dynamically:

• Customer mentions speed issues — COACH surfaces the broadband troubleshooting guide and the customer’s current speed test history
• Customer asks about upgrading — COACH presents available plans, eligibility, and any active promotional offers
• Customer references a previous engineer visit — COACH pulls the field service record and resolution notes

Step 4: Sentiment Monitoring

COACH continuously analyses the emotional tone of the conversation, tracking:

• Customer frustration signals — Raised voice patterns, negative language, interruption frequency
• Satisfaction indicators — Agreement language, positive acknowledgements, tone relaxation
• Escalation risk — Detecting when a conversation is trending toward complaint or cancellation territory

When sentiment deteriorates, COACH alerts the agent and provides recommended de-escalation language and retention strategies appropriate to the specific situation.

Step 5: Live Script Guidance

Based on the call type, customer profile, and real-time sentiment analysis, COACH provides suggested responses, retention offers, and conversational guidance:

• Recommended phrasing — Empathetic acknowledgement language, clear explanation frameworks, and closing statements tailored to the interaction
• Retention language — When churn signals are detected, COACH suggests specific retention offers, loyalty acknowledgements, and resolution commitments calibrated to the customer’s value and history
• Compliance prompts — Regulatory disclosures, consent requirements, and mandatory script elements surfaced at the appropriate moments

Step 6: Post-Call Summary

When the call ends, COACH automatically generates a structured call summary including:

• Call reason and outcome
• Actions taken and commitments made
• Follow-up items and responsible parties
• Updated customer notes for the CRM record

This eliminates 4-6 minutes of manual after-call work per interaction — time that agents currently spend typing notes, updating records, and logging call dispositions.

“The difference between your best agent and your newest agent is not talent — it is experience. COACH gives every agent access to that experience from day one. They know who the customer is before the call starts, they see the right knowledge at the right moment, they get coached on tone and language in real-time, and they never have to spend five minutes after the call writing up notes. That is not replacing the agent — that is making them exceptional.”

— Aashi Garg, Co-Founder & CEO, GoZupees

Measurable Outcomes

COACH is designed to deliver quantifiable improvements across core contact centre metrics:

• Reduced ramp-up time — New agents perform at experienced-agent levels from their first week, not their sixth month
• 4-6 minutes saved per call — Automated post-call summarisation eliminates manual after-call work
• Improved first-call resolution — Real-time knowledge surfacing ensures agents have the right information without placing customers on hold to search
• Higher retention save rates — Sentiment-triggered retention guidance enables every agent to execute effective save conversations
• Consistent compliance — Regulatory and policy requirements surfaced automatically, reducing compliance risk

Availability

The VerSense COACH module is available now for GoZupees voice platform customers and integrates natively with Bedrock CRM, Helpdesk, and the broader VerSense call intelligence suite.

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