The challenge

A fast-growth SaaS company was receiving a rising volume of repetitive support questions. Agents repeatedly searched the same knowledge base, copied similar answers, and manually routed requests that needed specialist help.

The team wanted to reduce ticket volume while keeping responses useful, natural, and easy to escalate.

Our strategy

We deployed a contextual support chatbot that retrieves approved information, remembers the conversation, and routes complex requests to the right human queue.

The approach included:

• organizing the help center and product documentation for reliable retrieval
• grounding every automated answer in approved support content
• preserving conversation context across follow-up questions
• using intent and confidence rules for smart ticket routing
• capturing unresolved questions to improve coverage over time

The results

• 50% reduction in ticket volume reaching the support team
• Consistent, human-like responses grounded in the same approved knowledge
• Faster resolutions through automated retrieval and smart routing

Customers resolved common questions immediately, while support agents focused on account-specific and high-value cases instead of repeating information already available.