Customer Service Transformation with Conversational AI
A UK-based financial services firm required a scalable customer service solution capable of handling high volumes of inbound enquiries without increasing headcount. Digizal designed and delivered a conversational AI platform integrating natural language understanding, automated ticket routing, and seamless escalation to human agents when required.
The programme established a secure, multi-channel AI architecture connecting web chat, email, and mobile messaging into a unified operational console with full conversation auditability and operational oversight.
- Capability: AI Agents & Customer Service Automation
- Engagement Model: Enterprise Platform Programme
- Delivery Model: London (UK) • Multi-channel integration • Hybrid delivery pod
- Delivery Structure: Phased rollout (Discovery → Pilot → Multi-channel scale)
Delivery Scope
Delivery focused on designing multi-channel conversational workflows, fine-tuning LLM pipelines with retrieval-augmented generation (RAG) against proprietary knowledge bases, and implementing strict security guardrails.
Multi-channel conversational agent architecture (Web, Email, In-app)- Retrieval-Augmented Generation (RAG) on curated knowledge bases
- Dynamic intent classification and intelligent routing engine
- Human-in-the-loop escalation workflows and agent handover interface
- Real-time supervisor analytics dashboard and conversation replay
- PII masking, data privacy controls, and UK GDPR compliance
- Automated intent evaluation benchmarks and hallucination guardrails
- Full operational runbooks, handover, and supervisor training
Outcomes & Operational Impact
The platform achieved an automated resolution rate of 68% within 90 days of deployment. Average response time was reduced from 4 hours to under 2 minutes, significantly improving customer satisfaction scores while maintaining high compliance standards.
Agent workload was reduced by 40%, enabling customer support teams to focus on complex, high-value customer advisory interactions rather than repetitive triage and account status enquiries.
Key outcomes: Key outcomes include 68% automated resolution rate within 90 days, response time reduction from 4 hours to under 2 minutes, 40% reduction in routine agent workload, and zero data leakage incidents.
