AI Training Scenario Library
Created a comprehensive library of customer interaction scenarios with predefined evaluation criteria to accelerate agent learning and onboarding.
Case Study
Medical AI Chatbot
We partnered with Indigital, a Tokyo-based digital transformation company, to design, develop, and deploy a Medical AI Chatbot-an intelligent, real-time assistant built to support pet owners and caregivers with veterinary medical information.
Vision
To build an intuitive, scalable, and responsive AI chatbot that empowers pet owners and veterinary caregivers with on-demand access to trusted medical information. The goal was to reduce misinformation, provide timely support, and enhance decision-making in pet healthcare.
The challenge
Pet owners and veterinary caregivers often struggle to find accurate and trustworthy medical information online. Indigital needed a solution capable of processing large volumes of unstructured veterinary content, understanding natural language queries, and delivering reliable, context-aware responses in real time while minimizing misinformation.
The solution
We developed an AI-powered veterinary chatbot using advanced NLP, vector search, and GPT-based language models. The solution ingests and indexes veterinary documents, retrieves the most relevant information through semantic search, and generates accurate, context-rich responses. This provides users with instant access to trusted medical guidance through an intuitive and scalable chat interface.
What we did
AI-Powered Call Simulations
Built realistic AI-driven customer conversations that allow agents to practice and improve their communication skills in a risk-free environment.
Performance & Skill Gap Analysis
Leveraged AI to analyze agent interactions, identify performance gaps, and highlight areas for targeted improvement.
Automated Coaching & Feedback
Implemented AI-based evaluation and personalized coaching recommendations to continuously enhance agent performance and customer outcomes.
Key Features
PDF Ingestion & Vectorization
Converts PDFs into searchable vector data.
Contextual Question Answering
Delivers relevant answers using semantic search.
LLM Integration
Generates context-aware responses with GPT-4.
Real-Time Access
Provides 24/7 access to veterinary information.
The
Impact
1
Improved Accessibility
Provided 24/7 access to trusted veterinary health and medication information.
2
User Empowerment
Enabled pet owners to find accurate answers quickly and confidently.
3
Reliable Information
Delivered responses based on validated veterinary guidelines and sources.
4
Enhanced Decision-Making
Helped users make informed decisions for better animal health outcomes.
5
Scalable Support
Offered consistent assistance to users without increasing manual effort.