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Feasibility study case study

LiveHeard

A feasibility study platform for veterinary service delivery, livestock data and AI assisted animal healthcare.

LiveHeard was developed as a feasibility study POC for India’s animal husbandry ecosystem, with the goal of exploring how government veterinary services, livestock healthcare, and animal welfare operations can be digitized through a unified enterprise portal. The platform was designed for multiple stakeholder groups, including government administrators, Chief Veterinary Officers, veterinary doctors, animal owners, field teams, and regulatory institutions.

Project classification: This feasibility study proof of concept explored a unified digital portal for animal husbandry services and AI assisted veterinary workflows; it was not a government deployment.

LiveHeard case-study visual
Byond Boundrys Consulting GovTech & Animal Healthcare
Industry
GovTech & Animal Healthcare
Client type
Animal husbandry digitalisation initiative
Project stage
Proof of concept
Evidence
Projected
Delivery scope
GovTech portal, veterinary workflows and AI copilot

Demonstrated the feasibility of a unified animal husbandry portal

The feasibility study demonstrated how public, clinical and administrative workflows could coexist in one portal.

Centralised administrative and service workflows

Appointments, grievances, animal records and service activity were organised into structured digital workflows.

Improved management visibility through role based dashboards

Role based dashboards demonstrated how administrators could review service activity at different organisational levels.

Who needed the solution

LiveHeard was developed as a feasibility study POC for India’s animal husbandry ecosystem, with the goal of exploring how government veterinary services, livestock healthcare, and animal welfare operations can be digitized through a unified enterprise portal. The platform was designed for multiple stakeholder groups, including government administrators, Chief Veterinary Officers, veterinary doctors, animal owners, field teams, and regulatory institutions. The objective was not only to digitize existing veterinary workflows but also to evaluate how AI could support faster animal health decision making, operational visibility, stock planning, and personalized care delivery. India’s animal husbandry ecosystem involves large scale service delivery across states, districts, hospitals, doctors, animal owners, vaccination programs, medicine/feed availability, grievances, appointments, and compliance workflows.

What needed to change

The main challenge was that animal husbandry operations require coordination across multiple administrative levels, veterinary institutions, doctors, animal owners, and field service workflows.

Veterinary services were distributed across departments and field teamsVeterinary service delivery is often spread across departments, districts, hospitals, and field teams.
Animal records and service histories lacked a unified workflowAnimal medical history, vaccination status, treatment records, and feed/medicine assignments may not always be centrally available.
Appointments and grievances were difficult to trackAppointment booking and grievance handling can become difficult to track without a structured digital workflow.
Management lacked real time service visibilityUpper management and CVO level officers may need regular updates but may not have real- time visibility into field activity.
Veterinary teams needed quicker access to trusted knowledgeVeterinary doctors often need quick access to clinical knowledge, disease references, and treatment recommendations during diagnosis.

Before and after

Previous workflow

  • Veterinary services were distributed across departments and field teams
  • Animal records and service histories lacked a unified workflow
  • Appointments and grievances were difficult to track
  • Management lacked real time service visibility
  • Veterinary teams needed quicker access to trusted knowledge

Structured workflow

  • Digitise service delivery
  • Support clinical knowledge access
  • Provide management dashboards
  • Coordinate operations and resources
  • Review structured outputs

How we approached it

We designed LiveHeard as an AI enabled animal husbandry digitalization portal with both operational and clinical intelligence layers. The solution combined digitized veterinary workflows, secure governance controls, role based dashboards, public service access, animal healthcare records, AI assisted diagnostics, RAG based clinical support, stock intelligence, and personalized feed/medicine recommendations.

01

Digitise service delivery

Create structured public, hospital, field and administrative workflows.

02

Support clinical knowledge access

Use RAG to retrieve veterinary references for professional review.

03

Provide management dashboards

Give administrators and officers role specific visibility into activity and service status.

04

Coordinate operations and resources

Support appointments, grievances, stock information and alerts within one platform concept.

From input to reviewable output

1Digitise service delivery
2Support clinical knowledge access
3Provide management dashboards
4Coordinate operations and resources
5Review clinical references
6Veterinary or administrative action

What the delivery covered

Business and product workflow

  • AI Assisted Animal Healthcare
  • RAG Powered Clinical Copilot
  • AI Chatbots for CVO and Upper Management

AI, data and automation

  • Structured AI workflow
  • Data processing and validation

Application and cloud engineering

  • React
  • Docker
  • Nginx
Scope boundary

This was a feasibility study proof of concept, not an adopted government system. Veterinary and administrative outputs remain subject to professional review.

How the system is organised

React
Docker
Nginx
TypeScript

Professional clinical review

AI assisted veterinary knowledge supports qualified professionals and does not replace clinical judgement.

Role aware workflows

Public users, doctors, officers and administrators receive different workflow and dashboard access.

Feasibility boundary

The concept demonstrates technical feasibility and must not be presented as government adoption.

Expected operational value

1

Demonstrated the feasibility of a unified animal husbandry portal

The feasibility study demonstrated how public, clinical and administrative workflows could coexist in one portal.

Projected
2

Centralised administrative and service workflows

Appointments, grievances, animal records and service activity were organised into structured digital workflows.

Projected
3

Improved management visibility through role based dashboards

Role based dashboards demonstrated how administrators could review service activity at different organisational levels.

Projected
4

Faster access to veterinary reference knowledge

RAG assisted knowledge access showed how veterinary references could be made easier for professionals to review.

Projected
5

A scalable foundation for future district and hospital expansion

The concept created a foundation for future district, hospital and field service integrations.

Projected

Every component, with its role in the delivery.

Technology choices from the supplied project brief, mapped to the workflow each component supports.

React

Reviewer or product user interface

Docker

Containerised deployment

Nginx

Reverse proxy and production serving

TypeScript

Typed application engineering

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