How AI Improves Accuracy in Healthcare Processes

We designed and implemented a middleware platform that standardizes communication between multiple Electronic Health Record (EHR) systems and a healthcare payment platform. By abstracting vendor-specific logic into a unified integration layer, the solution provides a single point of connectivity for diverse EHR systems. This architecture simplifies integrations, improves maintainability, enhances scalability, and enables faster onboarding of new healthcare providers while ensuring reliable payment processing and standardized data exchange.

To design and implement an integrated, automated planning and forecasting platform that enhances forecast accuracy, eliminates manual and siloed processes, provides real-time visibility into key business metrics, and enables seamless collaboration across planning, sales, and supply chain teams—empowering the organization to respond pro-actively to market changes and make informed, data-driven decisions across short- and long-term planning cycles.

A web and mobile-based solution designed to modernize workshop and fleet operations, replacing a legacy desktop system. The platform streamlines fleet (trucks/trailers) management, inspections, inventory, job allocation, and reporting. Mobile apps for technicians and inspectors ensure field readiness, while integration with Verizon Connect (mileage tracking), odometer data, and XERO (accounting) supports real-time, accurate, and compliant operations.
The solution improves transparency in maintenance workflows, accountability in technician performance, and accuracy in financial reporting, while providing a scalable base for multi-workshop rollout.

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.

An AI phone agent for restaurants, designed to automate and enhance customer interactions over the phone. It handles orders, reservations, FAQs, and customer queries while seamlessly integrating with POS systems. With the ability to manage unlimited simultaneous calls, upsell intelligently, and provide real-time analytics, it reduces missed opportunities and improves customer satisfaction.

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.