Customer support teams often spend a significant amount of time answering the same questions repeatedly. These questions may relate to account access, order status, product information, billing, refunds, troubleshooting, policies, or setup guidance. While these enquiries are important to customers, they can create a heavy operational burden when every interaction requires a human response.
This project focused on building a self-service support bot that could answer common customer questions and guide users through simple support workflows. The aim was not to replace the support team, but to create a first-line support experience that could resolve straightforward requests quickly and escalate appropriately when human help was needed.
The work began by analysing recurring support enquiries and identifying the topics most suitable for automation. Existing help centre articles, FAQs, internal support notes, policies, and product documentation were reviewed and structured so the bot could provide grounded, approved responses. Retrieval-augmented generation was used to help the bot answer naturally while staying connected to trusted source material.
The bot was designed with clear escalation rules. If a customer had a complex issue, became frustrated, asked about a sensitive matter, or received a low-confidence answer, the bot could hand the conversation to a human agent. Handover summaries captured the customer’s issue, relevant details, attempted answers, and recommended next steps, reducing repetition for both customers and support staff.
A major focus was measurement and continuous improvement. The system tracked which questions were resolved, which were escalated, where customers dropped off, and where the bot needed better content or workflow support. This helped the support knowledge base improve over time.
The final solution delivered a faster and more scalable support experience. Customers could access help at any time, common issues were resolved with less friction, and the support team gained more capacity for complex cases that required human judgement.