Background
A leading digital customer service platform leveraged Amazon Bedrock to enhance chat and voice support with multilingual, context-aware conversational AI, reducing operational costs while improving customer satisfaction.
The Challenge
The customer sought to enhance its digital customer service platform to deliver faster, more accurate, and cost-efficient support.
- Improve response accuracy across high-volume customer interactions.
- Scale multilingual support to serve a global user base effectively.
- Deliver more human-like conversational experiences without escalating costs or adding human agents.
Our Solution
Rambunct implemented a secure, AWS-powered generative AI solution to enable multilingual, context-aware conversational assistants across chat and voice channels.
- Deployed Amazon Bedrock foundation models (Anthropic Claude, Amazon Titan) for multi-turn understanding and response generation.
- Integrated AWS Lambda to fetch real-time customer interaction context.
- Used Amazon CloudWatch for monitoring, logging, and operational optimisation.
- Secured the environment with Amazon VPC, AWS IAM, and AWS KMS encryption to meet compliance requirements.
The Result
The solution delivered measurable improvements in customer experience, efficiency, and cost optimisation.
- 18% increase in customer satisfaction (CSAT) scores.
- 45% reduction in human agent handoffs, driving higher self-service containment.
- 60% faster response times for common support queries.
- 35% overall savings in operational costs compared to the previous AI infrastructure.
