Healthcare organisations handle vast amounts of information every day, from patient records and diagnostic reports to treatment plans and administrative data. Maintaining accuracy across these processes is essential because even small errors can affect patient care, operational efficiency, and healt...
Healthcare technology is evolving quickly, and modern healthcare organisations now expect digital systems to w...
Recent Portfolio Projects
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AI Takeoff and Document Extraction System
An AI-native takeoff and intelligent document processing platform for the commercial construction industry that automates material (glass, doors, window) takeoff and hardware extraction from architectural project documents. The solution processes floor plans, elevations, material schedules, specifications, and related drawings to identify, classify, and extract information with high accuracy.
It applies engineering rules to validate extracted data, highlights discrepancies, and enables estimators to review, verify, and export standardized Excel outputs.
The platform significantly reduces manual estimation effort, improves consistency, and accelerates bid preparation while maintaining full traceability back to the source drawings.
Scalable Construction Supply ERP with AI Automation and Financial Integration
The objective of this project was to transform a fast-growing construction materials supplier into a fully integrated, AI-enabled digital operations platform.
The client was managing bulk orders, warehouse coordination, supplier procurement, and accounting across disconnected systems. This resulted in delayed responses, manual reconciliation, limited stock visibility, and heavy dependency on staff for routine customer queries.
Our goal was to build a unified ERP ecosystem using ZohoOne, fully integrated with MYOB for financial control, while embedding AI Agents to automate customer communication and operational support.
The AI Agents were designed to:
Instantly respond to customer queries related to order status, invoices, and delivery timelines
Reduce dependency on manual call handling
Provide 24/7 support without increasing headcount
Assist internal teams with quick data lookup and order insights
Improve response time and customer satisfaction
This solution was not only about automation - it was about creating an intelligent operational backbone that improves efficiency, reduces overhead, strengthens financial accuracy, and supports scalable growth.
Real estate agents spend a significant portion of their day on phone calls – following up with leads, booking property visits, and confirming client preferences. The client, a mid-sized real estate agency, was struggling with missed follow-ups, delayed responses, and scattered call logs.
To address this, we built a smart inbound-outbound calling agent that acts like a virtual assistant. Integrated directly with the client’s CRM and calendar, the agent automatically places calls, captures lead details, books appointments, and updates records in real time – all while keeping the human agent in control.
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.
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.
This is a SaaS-based School Management System that supports different types of models to automate the various processes of schools in Jordan. This has an automated School ERP system that can be accessed through smartphones and it can manage data in one place.
It is useful for pre-registration, student management, attendance management, and teacher assignment and management. School timetable, assessments, school - student relationship, school billing and transportation services - all accessed and managed easily.
