Canada
Puerto Rico
USA
Belgium
France
UK
India
Client Background
The client is a leading healthcare tech company specializing in behavioral health, population health management, and value-based care.
Client Need
The client sought an AI-powered enterprise chatbot platform to build prototypes demonstrating diverse conversation flows (documents, PDFs, videos) for payers, providers, pharma, and government clients. Key challenges include:
Leverage Generative AI and NLP for natural conversations
Deployment support on Azure and GCP
Solution
We implemented a comprehensive solution with the desired functionalities on GCP and Azure and utilized each platform’s development suite to create conversational interfaces with the following key components:
Integrated a Flask application as middleware for seamless chatbot communication
Enabled multilingual conversations, speech-to-text, and text-to-speech within the chatbot
Delivered generative responses from OpenAI’s LLM, grounded in provided documents, and enriched them with content like YouTube videos, cards, and quick replies/suggestions
Realized Benefits
Achieved 80-90% platform reusability, enabling rapid feature expansion and minimal development effort for new clients
Integrated a flexible approach to NLU and generative AI, allowing the platform to adapt to diverse chat-based scenarios
Guided customers as the first point of contact, leveraging information directly from the client’s website
Reduced the effort required to navigate documentation by offering summarized solutions with relevant document references
Streamlined customer interactions and enhanced the overall user experience
Tools & Technologies
Python
Azure
Google Cloud
Open AI
Dialogflow
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