Case Study · Geospatial & Tech

Support email that answers itself.

A geospatial technology firm serving businesses across Africa was buried in technical support email. This agent answers from the company's own documentation, in the company's own tone, and pays for itself more than eight times over.

0% ROI, measured not projected
0h given back every week
$0k saved every year

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.

Industry
Geospatial technology
Engagement
Custom build
Timeline
2 months to production
Works inside
Email, company knowledge base
Services
AI Agent · Operational AI System
How it works

From inbox to answered, on its own.

01

Read

An incoming email is parsed for what the customer actually needs: which product, which problem, what context.

02

Retrieve

The agent pulls the relevant sections from manuals, technical guides and service descriptions.

03

Write

A response is drafted from that material, in the company's tone, with nothing invented.

04

Send or escalate

Routine answers go out in minutes. Edge cases land with the team, draft and sources attached.

Results

What the client got back.

858%

Return on the build, measured against the support hours it replaced. The client's number, not our projection.

31h

Of repetitive email handling gone every week, redirected to complex issues, customer relationships and on-site training.

$48k

Saved every year. Customers get faster, more consistent answers, and support now scales without new hires.