Debound - Product Development Studio

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Bihar HMIS Chatbot

Internal Softwares

We developed an AI-powered chatbot and interactive user guide system for Bihar’s HMIS platform to enhance adoption, simplify training, and support Rodic’s pitch for the Madhya Pradesh HMIS tender. The project combined AI, real-time assistance, and embedded training to ensure user readiness and showcase innovation in public healthcare tech.

Aug 20, 2023

4 weeks

AI Chatbot, Training, Whatsapp API

Problem Statement

Rodic needed to ensure that users of Bihar's HMIS system could quickly understand and adopt key platform features without manual training. At the same time, they sought to demonstrate innovation and successful adoption strategies for the upcoming Madhya Pradesh HMIS tender. Without scalable, embedded training, both usability and stakeholder confidence were at risk.

Problem Statement

Approach

We built a feature-specific AI chatbot using GPT 3.5, integrated visual aids and training videos, and developed dockable user manuals using Scribe. The system empowered users to learn within the software interface. We also created a pitch deck for the Madhya Pradesh HMIS tender, highlighting chatbot usage data and user feedback as proof of success and innovation in Bihar's deployment.

Solution Overview

Our solution delivered AI-enabled contextual support, interactive documentation, and a high-impact pitch for Rodic’s next-state tender. By embedding learning directly into the HMIS platform, we enhanced user adoption while equipping Rodic with a compelling story for scale and replication across regions.

Solution Overview

Our solution delivered AI-enabled contextual support, interactive documentation, and a high-impact pitch for Rodic’s next-state tender. By embedding learning directly into the HMIS platform, we enhanced user adoption while equipping Rodic with a compelling story for scale and replication across regions.

AI Chatbot with Visual Aids

We built a Python-based chatbot using GPT 3.5, enhanced with screenshot responses, embedded training videos, and a fallback to human support. It provided context-aware guidance to users, significantly reducing confusion and boosting self-service adoption. Its performance became a central success story in Rodic’s tender pitch.

AI Chatbot with Visual Aids

Dockable User Guide System

We developed a browser-based, step-by-step user guide system with zoomable screenshots and progress indicators. These guides dock beside the live HMIS application, letting users learn by doing. All content was organized on a portal by module, improving discoverability and task completion across key workflows.