Operating in a Competitive and Regulated Industry
Orange Credit is a licensed moneylender in Singapore regulated by the Ministry of Law. The business receives loan enquiries from both its website and third-party platforms such as Lendela, where multiple lenders often compete for the same lead at the same time.
In this environment, speed is critical. The lender who responds first has a much higher chance of winning the customer. However, the industry is also highly regulated. Outreach must follow strict timing rules, including blackout hours between 10pm and 9am. On top of that, communication through WhatsApp must also align with Meta’s platform policies.
This creates a difficult balance. The business must respond quickly, follow up consistently, and remain fully compliant at all times.
The Challenge with Manual Lead Handling
Before using AIxH, Orange Credit handled all enquiries manually through WhatsApp and email. Leads were usually replied to in batches at fixed times during the day, such as in the morning, after lunch, or before the end of the workday. This meant that many leads did not receive immediate responses, even when they were highly interested.
Follow-ups were also manual. Staff would go through past leads when they had time and send messages by copying and pasting templates. This led to inconsistent results. Some leads were followed up multiple times, while others were missed completely.
At the same time, staff had to manage in-office appointments, review documents, and handle customers physically at the office. This made it difficult to maintain consistent communication with every lead.
Over time, this created three main problems: slow response speed, missed follow-ups, and heavy workload on staff.
Introducing an AI Agent for Lead Engagement
To solve these issues, AIxH deployed an AI agent to handle lead engagement across the entire process. Instead of relying on staff to respond manually, the AI agent engages leads instantly, follows up automatically, and guides them step by step towards booking an appointment.
Unlike basic automation, the AI agent communicates in a natural, human-like way. Leads do not feel like they are speaking to a bot, which makes them more comfortable sharing their requirements and submitting documents. This improves both engagement quality and conversion rates.
The AI agent also integrates directly with Google Calendar. When a lead is ready, it offers available appointment slots and automatically avoids time conflicts. Once a slot is selected, the booking is confirmed and reminders are sent without manual coordination.
Built for Compliance and Real-World Operations
One of the key requirements in this project was compliance. The AI agent was designed to respect all outreach timing rules. Messages are never sent during blackout hours, and any scheduled communication is automatically delayed to the next allowed time window.
This ensures that Orange Credit remains compliant at all times, while still maintaining consistent engagement with leads.
At the same time, the system adapts to real business workflows. Leads at different stages, such as document submission or appointment confirmation, are managed automatically without requiring staff to track each case manually.
Improving Lead Quality and Focus
Orange Credit receives leads from two main sources. Leads from third-party platforms are usually high intent, while leads from the website tend to be lower quality. The AI agent handles both types differently.
For website leads, the AI agent first runs a qualification flow before offering appointment slots. This filters out less suitable enquiries and ensures that staff spend their time on higher-quality prospects.
For high-intent leads, the AI agent focuses on speed and follow-up consistency, ensuring that no opportunity is missed.
Results After Implementing the AI Agent
In the last 28 days, Orange Credit engaged 222 leads through the AI agent. Out of these, 101 leads replied, resulting in a reply rate of 45.6%. From those who replied, 54 leads progressed to receive in-principal approval and book a physical appointment, giving a conversion rate of approximately 53%.
Beyond the numbers, the biggest improvements were seen in speed, consistency, and workload. Leads are now engaged instantly instead of waiting for batch responses. Follow-ups are sent at the right time without fail. Staff no longer need to manually track and chase each lead, allowing them to focus on closing and serving customers.
Leverage, Control, and Voice in Practice
This implementation reflects three key principles behind AIxH: leverage, control, and voice.
Leverage comes from the ability of the AI agent to handle hundreds of conversations at the same time without increasing headcount. Tasks that previously required manual effort, such as replying, following up, and scheduling, are now handled automatically.
Control is maintained through structured workflows and compliance rules. The business decides how and when messages are sent, ensuring that operations remain aligned with both regulations and internal processes.
Voice ensures that communication remains human and natural. The AI agent is trained to speak in a way that reflects how the business would communicate, which builds trust with leads and encourages them to continue the conversation.
A System for Speed and Consistency
This case shows that in industries like lending, success is not just about getting more leads. It is about how quickly and consistently those leads are handled.
By using an AI agent instead of relying on manual processes, Orange Credit was able to respond faster, follow up consistently, and convert more leads into appointments, all while staying compliant and without increasing workload.
