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.

It is a supply chain management and CRM system which automates all process in a supply chain from procurement to distribution while managing SKU's and order across.

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.

A SaaS-based platform that provides a complete ecosystem for real estate investors and wholesalers to automate their business operations. The platform comes with different tools like - lead generation and capture , project management, accounting, scope of work and a customised CRM. The website builder module for users helps user to create their own marketing website in just a few clicks with a variety of available themes. The marketing site further serve as a lead generation source that integrates with CRM module.

An AI-powered Quality Assurance (QA) tool developed to enhance the customer support experience by automatically analysing customer-agent conversations( both actual human agents as well as agentic bots too). It identifies policy violations, customer sentiment, and agent performance insights in real-time. Platform integrates with CRMs and uses machine learning (ML) and natural language processing (NLP) to offer actionable insights for businesses seeking to improve service quality and operational efficiency. This will help organisations to streamline support analysis, improve agent training, and monitor customer satisfaction metrics. 

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.