Case Study / Believe

Eve

An AI-assisted engineering copilot designed to generate useful test artifacts from business intent while keeping context, traceability and human control.

Problem

Teams lose time reconstructing context from tickets, documentation, repositories and legacy knowledge before writing useful tests.

Hypothesis

AI is useful when it surfaces the right context at the right time and reduces repetitive work, not when it replaces engineering judgment.

01 / FLOW

From intent to test assets.

JiraKnowledgeReasoningTest assets

Context

Jira, Confluence, GitHub and business vocabulary.

Control

Structured pipelines, explicit steps and validation points.

Output

Test ideas, artifacts and workflow support for engineering teams.

I am interested in AI when it helps people work better, not when it replaces thinking.