The problem
The firm's products are technical and documentation-heavy: geospatial data, mapping tools, services that need explaining. Support email volumes kept growing, and most messages asked questions the manuals already answered. Each one still needed an accurate, consistent reply from someone who knew the products well.
Those replies came at the expense of on-site client training, the high-demand work that actually grows the business. The volume only moved in one direction.
The system
Flairr built an email agent on retrieval-augmented generation, trained on the company's complete knowledge base: internal documentation, product manuals, technical guides and service descriptions. When an email arrives, the agent retrieves the relevant material and writes a context-aware response aligned with the company's offerings and tone.
Routine questions get answered in minutes instead of sitting in a queue behind training days. The support team picks up only what genuinely needs them.
Guardrails
The agent answers from the knowledge base alone, so it can't invent product claims or pricing. Anything outside its material, and anything sensitive, escalates to a person with the draft and its sources attached.