How One IT Solutions built an intelligent AI chatbot system that resolved 80% of customer queries automatically, reducing support ticket volume by 65% and cutting customer service costs by 50% for a SaaS company.
A fast-growing SaaS company was overwhelmed with repetitive customer support tickets. Their 10-person support team spent 70% of their time answering the same 50 questions. They needed an AI system that understood their product documentation and could handle complex multi-turn conversations.
We built a RAG (Retrieval-Augmented Generation) chatbot that indexes the client's entire knowledge base into Pinecone vector database. GPT-4 generates contextually accurate answers grounded in company documentation. A React widget embeds on any page. Unresolved queries escalate to human agents with full conversation context.
Every feature was designed to solve a specific business problem—not just to add complexity.
Knowledge base vectorised with Pinecone—answers grounded in your actual documentation, not hallucinations.
GPT-4 maintains context across long conversations with memory of prior messages in the session.
One-line JavaScript embed that works on any website, SaaS app, or Shopify store.
Automatically routes complex queries to human agents with full conversation transcript and suggested answers.
Automatic re-indexing when documentation updates—chatbot stays current without manual intervention.
Query volume, resolution rate, top unanswered questions, and satisfaction scores in real time.
Scalable cloud-native architecture designed for high availability, horizontal scaling, and zero-downtime deployments.
End-to-end encryption, role-based access control, automated security scanning, and regular penetration testing built into the SDLC.
Agile sprints with weekly demos, CI/CD pipeline via GitHub Actions, and comprehensive documentation handed over at project close.
Let's talk about your project. We'll scope it, plan it, and deliver it—on time and on budget.
