What clients say about working with us
Real experiences from businesses that deployed conversational AI with Novaxis.
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Feedback from organizations using our conversational AI solutions.
Michelle Wong
Customer Service Manager, Singapore
The chatbot handles routine account inquiries efficiently, freeing our team to focus on complex customer issues. Response times for common questions dropped from hours to seconds. The Novaxis team took time to understand our specific workflows before designing the conversation flows.
January 28, 2026
David Lim
Operations Director, Singapore
We appreciated the readiness audit before committing to full development. It gave us clarity on which parts of customer service would benefit most from automation. The implementation stayed on schedule and the training handover was thorough. One minor concern was the initial learning curve for our team.
February 03, 2026
Sarah Tan
Head of Customer Experience, Singapore
The multi-channel platform works seamlessly across our website and WhatsApp. Customers can start a conversation on one channel and continue on another without repeating information. The analytics dashboard helps us track performance and identify areas for improvement. Worth the investment.
January 19, 2026
Raj Kumar
IT Manager, Singapore
Integration with our existing CRM was smoother than expected. The Novaxis team handled the technical details and made sure data flowed correctly between systems. The chatbot rarely makes errors, and when it's unsure, it escalates appropriately rather than guessing.
January 15, 2026
Jennifer Chan
Founder, Singapore
As a small business, we needed a solution that didn't require constant oversight. The custom chatbot handles product inquiries and basic troubleshooting reliably. Customers appreciate getting instant answers outside business hours. The pricing was transparent with no hidden costs.
February 06, 2026
Andrew Lee
Support Team Lead, Singapore
The bot handles password resets, order status checks, and FAQ inquiries without any issues. Our team now spends more time on complex cases that actually need human problem-solving. The conversation logs help us identify patterns we hadn't noticed before. Training could have been slightly longer.
January 22, 2026
Success Stories
Detailed case studies showing measurable improvements in customer service operations.
Challenge
An e-commerce company received hundreds of order status inquiries daily via email and phone. Support staff spent significant time answering repetitive questions, delaying responses to complex issues. Customers waited up to six hours for simple status updates.
Solution
We developed a custom chatbot integrated with their order management system. The bot authenticates customers, retrieves real-time order information, and provides tracking links. For issues requiring intervention, it collects details and creates support tickets automatically.
Results
Order status inquiries now receive instant responses. The support team handles seventy percent fewer routine questions, allowing them to focus on refunds, product issues, and shipping problems. Customer satisfaction scores for order tracking improved from 3.2 to 4.6 out of 5.
Timeline: Eight weeks from initial consultation to deployment. Industry: E-commerce. Solution: Custom Service Chatbot Development.
Challenge
A professional services firm managed client inquiries across email, phone, website chat, and WhatsApp. Information from one channel wasn't visible in others, forcing clients to repeat themselves. The team struggled to maintain consistent responses across platforms.
Solution
We implemented a multi-channel conversational AI platform with unified conversation memory. The system tracks client interactions across all channels, maintains context, and provides consistent responses. Sentiment analysis routes frustrated clients to senior team members.
Results
Clients can now switch between channels without losing context. Average resolution time decreased from two days to four hours for standard inquiries. The team receives prioritized escalations based on sentiment and complexity, improving efficiency. Cross-channel consistency increased measurably.
Timeline: Sixteen weeks including phased channel rollout. Industry: Professional Services. Solution: Multi-Channel Conversational AI Platform.
Challenge
A healthcare organization considered implementing a patient inquiry chatbot but wasn't certain which questions were suitable for automation. They needed clarity on potential benefits before committing resources to development.
Solution
We conducted a readiness audit analyzing six months of patient inquiry data. The assessment identified appointment scheduling, clinic hours, and general information as high-volume, low-complexity categories suitable for automation. Medical questions requiring clinical judgment were flagged for human response.
Results
The organization gained clear understanding of automation potential with minimal investment. The feasibility report included conversation flow recommendations and projected impact on staff workload. They proceeded with confidence to the development phase based on evidence rather than assumptions.
Timeline: Two weeks for complete audit and feasibility report. Industry: Healthcare. Solution: Conversational AI Readiness Audit.
By the Numbers
Measurable outcomes from our conversational AI implementations.
5 Years
Operating in Singapore
47 Clients
Businesses served to date
4.6 / 5
Average client rating
72%
Average reduction in routine inquiries
Get in Touch
Ready to discuss how conversational AI can support your customer service?
Contact Details
Phone
+65 6184 7352
Address
30 Cecil Street, #21-08
Prudential Tower
Singapore 049712
Business Hours
Monday - Friday: 9:00 AM - 6:00 PM SGT
Saturday: 9:00 AM - 1:00 PM SGT
Sunday: Closed
Professional Credentials
PDPA Compliance
Singapore Personal Data Protection Act certified
Data Security
ISO 27001 information security standards
Industry Recognition
Singapore AI Governance Framework participant
Professional Membership
Association for Computational Linguistics member
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