Provides detailed service information to potential customers
Utilizes Retrieval Augmented Generation (RAG) to search and extract information from the website and other sources
Can be customized for various engagement approaches
Built on Azure cloud platform
Leverages a tailored version of GPT 3.5
Includes data logging for knowledge base improvement
Deployed with a NextJS/React user interface
Potential for integration with CRM and helpdesk systems
Performance tracking via KPIs
Designed for continuous improvement using user feedback and data analysis
In today's fast-paced business environment, Artificial Intelligence (AI) has become a game-changer, offering unprecedented opportunities for organizations to streamline operations, enhance decision-making capabilities, and create new value propositions. However, embracing AI comes with its own set of challenges that require expert guidance and strategic planning. That's where Tonic3 comes in – your trusted partner in AI adoption.
Background
The Challenge: Our company aimed to create an AI chatbot that could effectively engage with potential customers, provide essential information about our services, and align with our brand's personality. We prioritized a scalable development process for rapid improvements, which meant using faster approaches and a new framework of innovation to leverage the power of AI in an iterative process.
Opportunity
Solution Approach: We decided to leverage the following:
Retrieval Augmented Generation (RAG): Empowers Toni to search and extract relevant content from our website and internal case studies.
Tailored GPT-based model:
Azure: Provides Toni with cloud-based infrastructure.
CIC Framework: Our in-house Concept-Iterate-Consolidate model offered a structured approach to guide the project.
Our Work
Development Methodology Concept Phase:Pinpointed Market Need Assessed Data Readiness Defined KPIs Iterate Phase Quadrant-Focused Development Rapid Prototyping Feedback Loops Consolidate Phase (in progress) KPI Evaluation Scalability Analysis Additional Considerations Personality Technology Data
