The Challenge
Client required an efficient way to manage inbound phone calls without overloading staff. Reception duties involved answering repetitive queries, manually routing calls, and handling unpredictable call volumes. This led to delays, inconsistent responses, and missed opportunities when calls were not handled promptly. Additionally, there was no intelligent system to understand caller intent or prioritise urgent enquiries, making scaling customer support difficult.
Our Approach
We developed an AI-powered receptionist that handles calls end-to-end using a real-time voice pipeline which processes natural language inputs and generates context-aware responses. Our AI can engage in natural conversations, ask clarifying questions, and determine the appropriate action.
When a transfer is required, the system programmatically routes calls to the correct department (e.g., sales department, manufacturing department, production department, etc.)
The architecture is modular and scalable, allowing for future enhancements such as intent classification improvements, CRM integrations, and analytics dashboards. The system ensures consistent responses, reduces manual workload, and provides a seamless caller experience.