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Our chatbots bring results. Don't believe us? Read for yourself.

A Marketing Chatbot

The Problem:

A general insurance company in Malaysia wanted to improve the visitor-to-lead ratio of their digital marketing  campaigns, so that they could bring down the Cost Per Lead (CPL).

Prior to working with us, this company would redirect customers from Facebook ads to an online form. Not only was this a tedious process, but the company was unable to re-target later on, as they had no way to contact those who filled out the form.

Our Solution:

We worked with their digital innovation team to re-imagine their user journey for an upcoming digital marketing campaign, which ran ads on Facebook. 

We then developed an AI chatbot on Facebook Messenger that would take the user from the ad to the Messenger chatbot in one smooth flow.

Once users reached the bot, they could request quotes, leave their contact info, or even buy an insurance policy directly through the insurer's online sales portal.

The Result:

The chatbot increased the insurance company's visitor-to-lead conversion ratio by 5X (when compared to web form) during the campaign period.

This was all on top of the leads that were generated, for which the insurer performed re-targeting on at a later stage.

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A Sales Chatbot

The Problem:

A retail bank in Singapore wanted to acquire more qualified credit card customers through self-service channels to bring down its customer acquisition cost (CAC).

Previously, this company was using an offline referral campaign. This method was uncertain, as it was dependent on the effort of relationship managers pushing customers to fill out referral forms - not at all proactive.

Our Solution:

We worked with the management to devise a strategy: run a referral campaign with existing credit card customers using the ubiquitous WhatsApp.


This WhatsApp Chatbot generates a unique link for each user of the chatbot, who can then forward it to their friends' WhatsApp account.

The customers' friends can then play with the bot and, at the appropriate time, will be prompted to apply for the bank's credit card online.

The Result:

The bank was able to bring down its CAC by more than 25% and doubled its approval rate. The bank also got an additional 3,000 new leads as part of this campaign, from an initial base of less than 500 existing "seed" customers.

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A Customer Service Chatbot

The Problem:

A life insurance company in Malaysia wanted to upgrade their existing chatbot to deliver better customer experience across multiple touchpoint and in different languages.

Their old chatbot, created by a different company, was not performing up to their expectations, and did not offer multi-channel and multilingual support.

Our Solution:

We started with a diagnosis on the existing chatbot, and redesigned the entire conversational experience using actual conversation data. 

We then mapped out a strategy to migrate the chatbot to our proprietary platform that was able to support multiple channels such as WhatsApp, FB Messenger, and an online widget in both English and Bahasa Malaysia.

This allowed the chatbot to integrate with their existing Live Chat solution, creating a seamless transition.

The Result:

Since the relaunch, the insurer had seen a significant uptick in usage of more than 50% compared to the older chatbot, and at a higher response accuracy ( > 80%).

The client had since also added a few more functionalities, including the ability to capture customer satisfaction rating.

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A Sales Productivity Chatbot

The Problem:

A mid-size real estate agency in Singapore wanted to reduce the amount of paperwork done by its agents in daily operations, from deal sourcing to invoice generation.

Before working with us, their entire operations were done on paper. Physical paperwork had to be submitted to specific administrators, and all operations were delayed by administrator absences. This problem was further exacerbated when pandemic lockdowns went into place. 

Our Solution:

We worked with the management/KEO to conduct an in-depth analysis of the company's internal workflow, and presented a strategy that included a recommendation to upgrade the accounting system.

The chatbot also made use of several open API that allowed agents to search for deals, arrange for co-broke, and generate invoices.

The Result:

After 4 months, the agency owner observed an increase in productivity of more than 50% by most of its agents, due to increased administrative efficiency and faster turn-around on services requested by the agents.

The automation also let to quicker invoice generation, hence commission payout - a great motivation for the agents.

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A Human Resources Chatbot

The Problem:

A young startup in Singapore wanted to cut down the amount of manpower spent on HR - managing leave applications and claim submission by its employees.

Before implementing our chatbot, all HR procedures had to be done manually through many cross communication channels, which often led to confusion and missed communication.

Our Solution:

We compared a number of HR softwares in the market, and then designed an AI Chatbot with 2 views: Employees and HR. The Employee view allowed employees to apply for leave and submit claims, whereas the HR view enabled HR personnel to configure things like leave entitlement, claims limit, approving manager, etc.

We later added more functionalities, like polls and learning modules, to the bot to improve overall employee engagement.

The Result:

The startup saved a full-time HR headcount, as most of the "daily BAU" was handled by this HR Chatbot. Overall employee satisfaction level also went up after the implementation of this chatbot.

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A Job Recruitment Chatbot

The Problem:

A life insurance company in Singapore was struggling to find new agents, and wanted to grow quickly to increase revenue as well as acquire employees at a lower cost.

Their previous strategy was to redirect users from Facebook ads to a Google Form, who would then fill out the form if they were interested. This form was long, and prevented any follow-up with people who filled it out.

Our Solution:

We analyzed the data from the company's previous strategy, and determined which factors of the form were preventing the company from achieving their goals.


From there, we created a FB Messenger chatbot to link to the Facebook ads. After clicking on it, the user simply answers 3-4 questions to register for a recruitment event, and is sent a reminder for the event afterwards.

The Result:

The company was able to reduce its agent search and acquisition cost by 90%, and quickly filled the empty positions which they were conducting a search for. Attendance at recruitment events shot up, from 30% of capacity to over 80% regularly.

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Marketing Chatbot
Sales Chatbot
Customer Service Chatbot
Sales Productivity Chatbot
HR Chatbot
Recruitment Chatbot
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