AI-Powered Unified Agent Workspace for a Tier-1 UK Telco

Client Profile

One of the United Kingdom’s largest mobile and fixed-line telecommunications operators, serving millions of enterprise customers through a nationwide contact centre operation. The organisation employs over 100,000 people and generates multi-billion pound revenues across consumer, business, and wholesale divisions.

Their B2B division manages complex enterprise accounts involving bespoke connectivity solutions, managed services, and multi-site deployments — all supported through a large-scale contact centre staffed by hundreds of sales and service agents.

Industry: Telecommunications (B2B) · Region: United Kingdom · Products Used: AI Voice Agent · Agent Assist · CRM Integration Layer

The Challenge

The client’s enterprise contact centre was built around a legacy CRM system that had been in place for over a decade. While the CRM remained the backbone of order management and customer records, the day-to-day reality for agents was far from streamlined.

Agents were drowning in complexity. A single customer interaction required navigating between the CRM, a separate billing platform, credit check tools, product catalogues, and telephony interfaces from multiple providers (Avaya and Genesys). Each system had its own login, its own UI, and its own quirks. Agents routinely had five or more windows open simultaneously, manually copying data between them.

The consequences were measurable and serious:

• Average Handle Time (AHT) was inflated by the constant switching between applications, with agents spending as much time navigating systems as they did talking to customers.
• Compliance risk was escalating. FCA and GDPR requirements demand accurate record-keeping, proper consent capture, and compliant call summaries. With agents manually logging interactions across fragmented systems, errors were inevitable and audit trails were incomplete.
• Agent attrition was high. The cognitive load of managing multiple systems while maintaining quality conversations drove burnout, particularly among newer agents still learning the toolset.
• Sales opportunities were being missed. Without a unified view of the customer’s history, current products, and propensity signals, agents lacked the context to identify upsell and cross-sell opportunities during service calls.
• Retention workflows were reactive. Disconnection requests were handled without proactive churn risk scoring or structured retention offers, leaving revenue on the table.

The client had explored multiple approaches — from incremental CRM customisation to full platform replacement — but each carried prohibitive cost, timeline, or business disruption risks. What they needed was a way to modernise the agent experience without ripping out the CRM that underpinned their entire enterprise operation.

Our Approach

Rather than replacing the legacy CRM, we proposed and built a unified AI-powered front-end that sits above the existing system. The CRM continues to handle orchestration and transaction logic — it remains the system of record. Our layer provides the intelligence, the unified interface, and the AI-assisted capabilities that agents need to perform at their best.

The solution was architected as a responsive web application integrating with the CRM via REST and EAI calls, pulling in data from billing, credit check, and product catalogue systems through a unified API layer.

What We Built

1. Unified Agent Workspace

A single-screen dashboard presenting everything an agent needs: customer details, product portfolio, order history, billing status, credit check results, and interaction history — all pulled from the underlying CRM and adjacent systems in real-time. Agents no longer toggle between applications. Every data point required to handle a call is visible in one view.

2. Full MACD Workflow Support

Complete Move, Add, Change, and Disconnect cycles managed through the unified interface. Agents can search or create customer records, select products, perform credit checks, capture order details, process upgrades, and handle disconnections — all within the same workspace, with every action writing back to the CRM via the API layer.

3. AI-Assisted Real-Time Intelligence

During live calls, the system provides:

• Real-time transcription — converting speech to text as the conversation happens, eliminating the need for manual note-taking.
• Sentiment analysis — monitoring customer tone and flagging negative sentiment shifts so agents can adjust their approach.
• Next-best-action prompts — contextual suggestions based on the customer’s profile, current products, and the nature of the enquiry. If a customer calling about a billing query has an expiring contract, the system surfaces the retention offer before the agent has to think about it.

4. Intelligent Virtual Agent

A 24/7 voice and chat bot integrated with the same API layer as the human agent workspace. It handles routine enquiries — status checks, FAQs, appointment booking — and escalates complex cases to human agents with full conversational context preserved. The virtual agent doesn’t operate in a silo; it has the same data access as the human agents, ensuring consistent information regardless of channel.

5. Automated Compliance Documentation

Every call generates FCA and GDPR-compliant summaries automatically — capturing consent confirmations, key commitments, and action items. These are written back to the CRM as structured records, creating a complete audit trail without relying on agents to manually document interactions. Target accuracy: 80%+ on automated summaries.

6. Proactive Retention Engine

Disconnection requests trigger a structured retention workflow. The system displays real-time churn risk scores, suggests personalised retention scripts, and surfaces available offers. Agents are equipped with data-driven talking points rather than generic save attempts.

7. Analytics Dashboard

Real-time performance metrics covering call volumes, AHT, resolution rates, sentiment trends, and agent utilisation. Supervisors have visibility into team performance without waiting for end-of-day reports.

Projected Impact

Metric	Before	Projected After
Agent productivity	Baseline	35–40% workforce optimisation within Year 1
Average Handle Time	Inflated by multi-system navigation	Significant reduction through unified workspace
Compliance risk	Manual documentation, incomplete audit trails	Automated, FCA/GDPR-compliant call summaries
Retention rate	Reactive, unstructured save attempts	Proactive churn scoring with data-driven offers
Agent onboarding time	Weeks (learning multiple systems)	Days (single interface to master)

Why This Matters

This engagement demonstrates that enterprise-scale contact centre transformation doesn’t require a multi-year, multi-million pound CRM replacement programme. By building an intelligent layer above the existing system of record, we delivered the benefits of a modern agent workspace — AI assistance, unified data, automated compliance — without the disruption of ripping out infrastructure that the business depends on.

The architecture is designed to scale: as new AI capabilities emerge, they plug into the same front-end layer. The CRM underneath can evolve on its own timeline. The two are decoupled but deeply integrated — giving the client modernisation without migration risk.