Toni AI ChatBot
- Background
- Toni was developed as a dynamic proof of concept for restricted AI, addressing key concerns in the AI industry: preventing "hallucinations," using internal data, creating a focused expert, and maintaining brand voice. It demonstrates practical implementation of custom enterprise AI while aligning with Tonic3’s tool-agnostic approach for flexibility across platforms.
- Opportunity
- Tonic3 identified the need for a secure, reliable AI chatbot that delivers precise, brand-consistent information while addressing data security and AI reliability concerns. Clients sought solutions to prevent misleading content and ensure alignment with their brand voice. This led to the creation of Toni, a chatbot that meets these needs with tailored enterprise AI. By integrating Retrieval Augmented Generation (RAG), a custom GPT model, and Azure cloud infrastructure, Tonic3 developed a chatbot that effectively engages customers and refines its CIC Framework for scalable AI development.
- Our Work
- Toni is a custom chatbot leveraging advanced Retrieval Augmented Generation (RAG) technology for precise, real-time service information. Built on Azure with a tailored GPT AI model, Toni adapts to different audience needs and is highly customizable.
- Key features include:
- - Data logging for continuous improvement.
- - Deployment via NextJS/React.
- - Integration with CRM and helpdesk systems.
- - Performance tracking through KPIs and user feedback refinement.
- Development Process:
- - Concept Phase: Market needs, data readiness, and KPIs defined.
- - Iterate Phase: Rapid prototyping and feedback loops.
- - Consolidate Phase: KPI evaluation, scalability, and enhancements in personality, technology, and data management.
- Toni excels in delivering informative content, RAG-based data retrieval, and customizable engagement, enhancing customer interactions.
