How AI Improves Accuracy in Healthcare Processes

Prospective property buyers often face delays in identifying suitable suburbs and properties, limited visibility into where they stand in the buying journey, and fragmented coordination between buyer's agents, support teams, and external parties such as conveyancers and inspectors. The client required enhancements to streamline client onboarding, automate workflow tracking across the buying process, and improve real-time communication across all stakeholders.
smartData enhanced the existing Milk Chocolate Property platform by optimizing the client and agent-facing Own™ portal with automated notifications, improved Game Plan™ workflows, AI-assisted suburb and property matching, and upgraded UX for registration, recommendations, and milestone tracking from exchange through settlement. The solution introduces structured client preference reuse, simplified onboarding, intelligent agent assignment tracking, and AI-assisted decision support to help clients evaluate suburb and property recommendations.
As a result, the platform improves operational efficiency, reduces lead-to-purchase turnaround time, enhances client engagement through proactive communication, and establishes a scalable foundation for future AI-driven property personalization and automated transaction coordination.

FactoryOps is a comprehensive Computerized Maintenance Management System (CMMS) developed to simplify and automate maintenance operations for enterprise organizations. The platform provides a centralized solution for managing the complete maintenance lifecycle, including Service Requests, Work Orders, Preventive Maintenance, Asset Lifecycle Management, Inventory Control, Vendor Management, and Reporting. It enables organizations to improve asset reliability, reduce equipment downtime, and optimize maintenance costs through streamlined workflows and real-time operational visibility. Built on a scalable microservices architecture, FactoryOps supports multi-tenant SaaS deployment, IoT device integration, event-driven communication, and real-time notifications, making it suitable for large-scale industrial environments. The solution also offers role-based access control, KPI dashboards, audit trails, and workflow automation, allowing maintenance teams to collaborate efficiently while ensuring compliance and operational excellence. FactoryOps empowers organizations to make data-driven decisions and achieve higher productivity through intelligent maintenance management.

Objective of the Rental Automation Platform was to digitize and automate rent collection, lease management, and jurisdiction-based compliance workflows for landlords and tenants across multiple regions.
Traditional rental operations require manual tracking of payments, late notices, lease terms, and legal compliance — all of which vary by province/state and create operational risk and administrative overhead. The goal was to design a unified SaaS platform that embeds regulatory intelligence, automates rent workflows, and provides an audit-ready system for dispute or legal proceedings.

Platform is designed to:

• Automate rent collection and payment reconciliation
• Generate legally compliant notices based on jurisdiction rules
• Track physical and digital delivery of notices for legal proof
• Provide AI-driven compliance validation and rule automation
• Enable secure tenant–landlord communication and audit trails
• Deliver real-time dashboards for payments, leases, and compliance
• Maintain immutable logs for dispute resolution and hearings

The solution transforms rental operations into a compliant, data-driven, and highly automated ecosystem for both landlords and tenants.

The project aims to create a SaaS-based platform for multiple construction companies, enhancing project management and collaboration. Key features will include project scheduling, task assignments, performance monitoring, and real-time status tracking with notifications. The platform will support quality control inspections, ensure payments are released only upon completion of specific construction stages, and provide a document management system. Additionally, it will feature a holiday rule engine, accounting management tools, and visual scheduling options like Gantt and calendar views. Ultimately, this platform will streamline operations and improve communication among construction stakeholders.

Facilitaties patients to chat with AI based Medical Assistant to share the current medical condition symptoms

Medical Assistant assess the diagnosis and generate the prescription for the assessed diagnosis.

Facilitates patient to generate the work notes

Patient can find the pharmacy with cheepest medicine prices, local pharmacies etc.

Health insurance companies and providers face multiple rejections and huge penalties due to incomplete documentation. To improve payor performance, the HEDIS analytics platform integrates consumer, clinical, provider and payer data to analytical data that healthcare stakeholders can readily use to improve the health of their patients and populations. 
The platform is on HEDIS quality measure reporting rules driven by data extracted from more than 15 EMR systems. HEDIS analytical platform helps in remediating the gaps in data collection through pre auditing of data and to improve the efficiency of HEDIS reporting. 

By providing the functionality of care gap identification, HEDIS analytic platform calculates the care gap for different payors and EHR system.