Lesson 3 of 6 — Google Workspace connector

Automated Discovery Connectors · Source: Jira Story GOV-303 (5 pts) · Authority: Informational (the Jira story is authoritative).

Purpose

Discover Gemini and Vertex usage in Google Workspace.

Why it matters

Google AI usage is another shadow-AI surface to inventory.

Where this lives

Runs in the Customer AI Governance platform (components: intelligence). The Google connector discovers Gemini/Vertex usage across the Workspace. Learn teaches this read-only.

Workflow

1. Given a Google Workspace
2. When the connector runs
3. Then Gemini and Vertex usage is discovered

Worked example

A customer runs on Google, not Microsoft. Does discovery still work?

Yes — the Google Workspace connector discovers Gemini and Vertex usage.

Acceptance criteria (authoritative — GOV-303)

Given a Google Workspace, when the connector runs, then Gemini and Vertex usage is discovered.

Common pitfalls

• Only covering Microsoft and missing Google estates.

Knowledge check

• Scenario: A customer runs on Google, not Microsoft. Does discovery still work?
• Look for: Yes — the Google Workspace connector discovers Gemini and Vertex usage.

Key concepts

• Google Workspace connector
• Gemini/Vertex
• discovery

For the AI Tutor

• Summary: Discover Gemini and Vertex usage in Google Workspace.
• When to use: teaching or answering questions about "google workspace connector".
• When NOT to use: the M365 connector (that is GOV-302).
• Key concepts: Google Workspace connector, Gemini/Vertex, discovery.

Completion criteria

Learner passes the scenario knowledge check and can point to the system state that satisfies GOV-303's acceptance criterion.

Related

• Module: LEARN-MOD-009 (Automated Discovery Connectors)
• Provenance: LEARN-MAP-001 · Generation standard: LEARN-STD-002
• Next: LEARN-LSN-048