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Development of an AI-Driven Multi-Tenant Case Management Platform for Child Protection Agencies
  1. case
  2. Development of an AI-Driven Multi-Tenant Case Management Platform for Child Protection Agencies

Development of an AI-Driven Multi-Tenant Case Management Platform for Child Protection Agencies

intuz.com
Government
Non-profit
Legal

Identifying the Challenges in Child Protection and Family Welfare Case Management

The client faces difficulties in efficiently managing case information, coordinating services across multiple branches, maintaining data security, and ensuring scalable access for different agencies. Manual processes hinder quick decision-making, and existing systems lack customization and automation capabilities, impacting the quality and timeliness of child protection services.

About the Client

A mid-sized government agency specializing in child welfare and family support services seeking a scalable, secure platform to manage cases, staff, and collaboration across multiple regional offices.

Goals for Developing a Next-Generation Child Welfare Case Management Platform

  • Create a scalable, multi-tenant SaaS platform enabling multiple agencies to securely manage clients, cases, and staff.
  • Implement AI-powered automated case summaries and on-demand reporting to streamline case review and decision-making.
  • Develop dynamic, customizable forms to adapt to evolving regulatory and procedural needs.
  • Establish dedicated virtual workspaces using subdomain segregation for each tenant to facilitate seamless collaboration.
  • Integrate secure payment processing for subscription and service billing.
  • Ensure platform performance, security, and compliance with relevant data protection standards.

Core Functional and Technical Capabilities for the Child Welfare System

  • Multitenant architecture with isolated schemas for each agency to ensure data security and performance.
  • Dynamic form builder enabling customization of data collection forms for various case types and compliance needs.
  • AI-powered case summary generation for automated and on-demand quick insights into case details.
  • Case overview dashboards consolidating key information for rapid assessment.
  • Subdomain-based tenant environments to allow personalized workspace access.
  • Comprehensive client and contact management features.
  • Staff management with role assignment and permission controls.
  • Payment integration supporting subscription plans and service billing.
  • Branch management to oversee multiple operational locations.
  • Communication and collaboration tools embedded within each tenant workspace.

Technological Foundations for a Robust, Scalable Platform

Node.js for backend development
Python for AI and automation modules
Cloud infrastructure ensuring scalability and high availability
Multitenant SaaS architecture with schema isolation
AI models for case summary generation
Secure data storage and encryption standards

Essential External System Integrations for Enhanced Functionality

  • Payment gateways for billing and subscription management
  • Communication tools (email/SMS) for case updates
  • Authentication services for secure login
  • Data analytics or reporting tools for performance monitoring

Performance, Security, and Compliance Standards

  • Scalability to support growth to thousands of concurrent users and tenants
  • High system availability with 99.9% uptime
  • Data security compliant with relevant standards (e.g., GDPR, HIPAA at minimum)
  • Fast response times with targeted latency below 2 seconds for core operations
  • Automated backups and disaster recovery planning

Expected Business Impact and Benefits of the New System

The new AI-powered SaaS platform is expected to improve case management efficiency by automating routine tasks, reducing case review time by up to 50%, and enhancing communication among agencies. It will provide secure, scalable access for multiple agencies, supporting thousands of users, and ensuring compliance with relevant regulations—ultimately improving the quality and timeliness of child protection services.

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