The challenge

A growing SaaS platform was receiving more support requests than its team could answer quickly. Product knowledge was spread across documentation, FAQs, and years of resolved tickets, so agents spent too much time searching for the right information and rewriting the same responses.

The company needed faster replies without sacrificing accuracy, tone, or the ability to hand sensitive questions to a person.

Our strategy

We built a knowledge-grounded AI support agent that retrieves answers from the company’s approved product sources before drafting a response.

The two-week implementation included:

• indexing product documentation, FAQs, and historical support tickets
• connecting the agent to the existing helpdesk workflow
• adding confidence checks so uncertain or account-specific requests route to a human
• creating reusable response patterns that preserve the support team’s tone
• logging sources and outcomes so the team can review and improve answers

The results

• 70% faster support replies
• 40% reduction in tickets requiring a human response
• 2-week build from content audit to a working support agent

Customers received useful answers sooner, while the support team kept control of complex cases and spent more time on issues that genuinely required judgment.