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AI Chatbot Integrated Into Existing System
A US-based B2B SaaS company launched an AI chatbot with high hopes. The goal was simple: make customer support faster and ease the load on internal teams. But once the chatbot went live, it became clear that it wasn’t ready for real-world use. Instead of providing meaningful help, it behaved more like a demo—giving generic replies and operating without access to the company’s actual data or systems.
What the company needed wasn’t a quick patch or minor improvement. They needed a complete reset—turning an underperforming chatbot into a reliable, production-ready AI solution that could integrate with existing tools, understand real company information, and provide clear, accurate answers people could actually trust.
client : innomax
services : Marketing
completed date : 20-11-2024
location : New York,NY,USA
Project requirement
The client required a fully functional AI chatbot that worked inside their existing product and connected directly to live business systems. The solution needed to reduce support load, improve response accuracy, and deliver measurable ROI.
Integration with real business data- CRM and support system connectivity
- SEO Context-aware and accurate responses
- Secure, scalable, production-ready architecture
- Intent-aware, context-driven response handling
- Enterprise-grade security and scalability
Solution & result
Solution: We ended up rebuilding the whole thing from the ground up. Instead of layering another quick-fix bot on top of existing issues, we built a system that was meant for real production use from day one. It connects directly to live business data and internal platforms, uses secure APIs, and applies context-aware logic to keep responses relevant. With proper admin controls in place, the system stays accurate, stable, and reliable as it grows.
Result: The results were immediate. The chatbot started giving out accurate answers in under 30 seconds on average. This ended up cutting support tickets by 40%, and customer satisfaction took a huge turn for the better. Most importantly, the system finally started showing a real, measurable ROI.
- Average support response time: 6–8 hours
- Automated query resolution: 0%
- Customer satisfaction: Low
Before Cleanup
- Average response time: < 30 seconds
- Automated query resolution: 65%
- Customer satisfaction score increased by 32%
After Cleanup
Outcome
The chatbot delivered instant, accurate support with response times under 30 seconds and automated resolution of 65% of queries. Support tickets dropped by 40%, and the AI system generated measurable business value.
