Mayowa Adebanjo
Project Overview:
For a leading insurance firm, I designed and deployed a custom AI assistant tailored to streamline customer service operations. Leveraging open-source models, including LLama, I fine-tuned the assistant to meet the specific needs of the insurance industry.
Key Features and Achievements:
Personalized Interactions: Implemented machine learning algorithms to personalize interactions based on user data and previous interactions, providing tailored advice and support.
Complex Query Handling: Trained the chatbot to handle complex insurance-related queries, from policy details to claim status inquiries, with precision and accuracy.
Integration with Existing Systems: Seamlessly integrated the chatbot with the firm’s existing CRM and backend systems, ensuring real-time data synchronization and efficient workflow management.
Security and Compliance: Ensured the chatbot adhered to industry regulations and standards, implementing robust security measures to protect sensitive user information.
Deployment and Monitoring: Successfully deployed the chatbot on a scalable architecture and implemented continuous monitoring tools to ensure optimal performance and uptime.
Impact:
The custom assistant reduced the workload of human agents, accelerated response times, and improved customer satisfaction by providing instant, accurate, and personalized support.