How to Audit AI Content in Your Org's Documents

Gemini is now embedded throughout Google Workspace. It drafts emails in Gmail, writes copy in Docs, generates formulas in Sheets, builds slide decks in Slides, and summarises documents across Drive. For many Australian SMBs, this is a genuine productivity gain. For IT admins, it raises a question that most organisations have not yet answered: how do you know what AI is producing inside your business documents?

This is not a theoretical concern. AI-generated content carries real governance risks. Gemini can produce factually incorrect summaries that get sent to clients. It can draft contract clauses that do not reflect your actual terms. It can suggest responses to staff queries that contradict your HR policies. And in regulated industries — healthcare, financial services, legal — content generated without human review can create compliance exposure under Australian law.

The challenge for IT admins is that AI activity in Workspace does not always leave an obvious trail. Documents do not come stamped with "written by Gemini." Emails do not flag whether Help me write was used. Without a deliberate audit strategy, your organisation is producing AI-assisted content with no visibility into where it came from or whether it was reviewed before use.

This guide walks through the tools, Admin Console settings, and processes available to audit AI-generated content across your Google Workspace environment. It covers what Gemini logs capture, how to configure governance policies, and how to build a review routine that keeps your team accountable.

What this guide covers:
- What Gemini activity in Workspace looks like from an admin perspective
- Where AI-generated content audit data lives in the Admin Console
- How to configure Gemini settings and access controls for governance
- DLP and content compliance rules that account for AI-assisted workflows
- Building an ongoing AI content governance routine for Australian SMBs

Why AI Content Auditing Is an Admin Responsibility

When Gemini generates content inside a Google Workspace document, that content immediately becomes part of your organisation's records. It is subject to the same legal, compliance, and reputational risks as anything a human employee writes. The fact that a machine produced it does not reduce your obligation to ensure it is accurate, appropriate, and in line with your policies.

For Australian businesses, three areas of risk stand out.

Privacy Act 1988 and personal information. Gemini's summarisation and drafting features work on document content. If an employee asks Gemini to summarise a file containing client personal information, that query is processed in the context of your Workspace environment. Under the Australian Privacy Principles, you are responsible for how personal information is used and handled within your systems. Understanding where Gemini is being applied to personal data is part of meeting that obligation.

Accuracy and professional liability. In sectors such as financial advice, healthcare, legal services, and accounting, providing inaccurate information to clients can trigger professional liability claims. If a staff member sends a Gemini-drafted client summary without reviewing it for accuracy, and that summary contains an error, the fact that AI wrote it is not a defence. Your organisation authored it.

Governance and record-keeping obligations. Many Australian businesses have obligations under the Corporations Act 2001, industry regulators, or contractual requirements to maintain accurate business records. AI-generated content that was not reviewed before becoming part of a formal record creates a governance gap that regulators and auditors will increasingly scrutinise.

The starting point for managing all of these risks is visibility. You cannot govern what you cannot see.

Where AI Activity Shows Up in the Admin Console

Google Workspace provides several places where Gemini usage data surfaces. The depth of visibility depends on your Workspace plan and how your Gemini features are configured.

Gemini Activity in the Audit and Investigation Tool

Navigate to Reporting > Audit and investigation in the Admin console. For organisations with Gemini for Google Workspace licences, Gemini interaction data can appear within the relevant application audit logs. Specifically:

• Gmail audit log: Captures events related to Help me write usage, including when drafts are generated. You can filter for Gemini-related actions by searching for event names containing "compose" or by filtering for the user and timeframe you want to investigate.
• Docs, Sheets, and Slides audit log (under the Drive audit log): Records document-level actions, including creation and modification events. While the log does not always tag content as AI-generated at the character level, it records the editing timeline that lets you cross-reference AI feature use with content changes.
• Admin audit log: Records changes to Gemini settings, feature configurations, and policy assignments made by administrators.

The granularity of Gemini-specific audit data is higher on Enterprise plans. If you are on a Business Standard or Business Plus plan, you will have access to event-level audit logs but may have less Gemini-specific event categorisation than Enterprise customers.

Gemini Usage Reports

Navigate to Reporting > Reports > Apps reports and look for Gemini-related report categories. Google has been progressively expanding Workspace reporting to include AI feature adoption metrics. Depending on your plan and region, you may see:

• Active Gemini users: The number of users who have used at least one Gemini feature in a given period.
• Feature-level adoption: Breakdowns of which Gemini features (Help me write, Summarise, Generate image, etc.) are being used and at what volume.
• Gemini interactions by organisational unit: Usage data segmented by department or team, which helps identify where AI adoption is concentrated.

These reports are more useful for governance planning than for individual content auditing. They tell you where AI is being used in aggregate, which helps you direct your more detailed audit activity.

Google Vault

Google Vault is the legal hold and eDiscovery tool included with Business Plus and Enterprise plans. Vault retains email and Drive content and makes it searchable. While Vault does not natively flag AI-generated content, it is relevant to AI governance in two ways.

First, if your DLP or compliance rules require you to retain records of documents created during a specific period (including those produced with AI assistance), Vault is your retention mechanism. Second, if a compliance investigation requires you to produce all documents related to a specific topic or time period, Vault's search capabilities let you pull Drive files and emails regardless of how they were originally created.

Configuring Gemini Settings for Governance

Before you can audit AI activity effectively, you need to configure your Gemini settings to match your governance requirements. The Admin console provides controls that let you enable or restrict Gemini features at the organisational unit level.

Accessing Gemini Settings

Navigate to Apps > Google Workspace > Gemini in the Admin console. Alternatively, some Gemini feature settings are found under individual application settings: Apps > Google Workspace > Gmail for Gemini in Gmail, Apps > Google Workspace > Docs for Gemini in Docs, and so on.

The top-level Gemini settings page shows your current Gemini licence status and which features are enabled for your domain.

Enabling or Disabling Features by Organisational Unit

One of the most important governance controls is the ability to turn Gemini features on or off for specific organisational units. This means you can:

• Enable Gemini broadly for your general staff while disabling it for users in highly regulated roles such as finance or legal.
• Allow Help me write in Gmail for your marketing team while restricting it for staff who handle confidential correspondence.
• Permit Gemini summarisation in Docs for knowledge management purposes while blocking it in OUs that process sensitive personal information.

To configure this, navigate to the relevant Gemini setting, click the organisational unit in the left panel, and toggle the feature on or off for that OU. Changes take effect within 24 hours.

Data Processing and Privacy Controls

Navigate to Account > Account settings > Data regions to review where your Workspace data is processed. For Australian businesses with data sovereignty concerns, confirm that your data region settings are configured appropriately. Note that AI processing may involve data routing that differs from standard document storage; review Google's Workspace data processing documentation and the applicable Data Processing Addendum for your plan.

For organisations that need to demonstrate compliance with data residency requirements, this configuration step belongs in your AI governance documentation before deploying Gemini broadly.

Restricting Third-Party AI Add-Ons

Beyond native Gemini features, the Google Workspace Marketplace includes AI-powered add-ons from third parties that may generate content within Docs, Sheets, or Gmail. These add-ons present a separate governance risk because they may process document content outside Google's infrastructure.

Navigate to Apps > Google Workspace Marketplace apps > Apps from Marketplace and review which AI-related add-ons are installed across your domain. For each add-on, assess the OAuth scopes it has been granted. Add-ons with access to See and download all your Google Drive files or Read, compose, and send emails are particularly high-risk from a content governance perspective.

Consider restricting Marketplace add-on installation to admin-approved apps only. Navigate to Apps > Google Workspace Marketplace apps > Settings and select Allow users to install only allowlisted apps. This puts you in control of which AI tools your staff can add to their Workspace environment.

DLP Rules That Account for AI-Assisted Workflows

Data Loss Prevention rules apply to content regardless of how it was created. A DLP rule that blocks external sharing of files containing Tax File Numbers will trigger whether the content was typed by a human or generated by Gemini. However, AI workflows introduce some specific patterns worth addressing with targeted DLP rules.

Detecting AI-Generated Summaries Sent Externally

A common risk scenario is this: a staff member asks Gemini to summarise a Drive document containing sensitive client information, then copies that summary into an email and sends it externally. The DLP rule for the underlying document may not have been triggered (because the document was not shared, just summarised), but the summary in the email may contain excerpts from protected content.

To address this, ensure your Gmail DLP rules for sensitive data types are active and not scoped only to file attachments. Configure rules that scan the email body — not just attachments — for sensitive data patterns such as Tax File Numbers, Medicare numbers, and credit card numbers. Navigate to Security > Access and data control > Data protection > Manage rules and ensure your Gmail rules include body content scanning.

Watermarking and Classification Labels

If you are on Enterprise Plus, navigate to Apps > Google Workspace > Drive and Docs > Labels to configure sensitivity labels. Labels can be applied manually by users or automatically based on content patterns. Consider creating a label such as "AI-Assisted" or "Requires Human Review" that staff can apply to documents that were substantially generated by Gemini before they are finalised and shared externally.

While Google Workspace does not currently auto-apply an AI-generation label the way some tools do, building a workflow where staff are required to classify AI-assisted documents before external sharing creates a human review checkpoint. You can reinforce this with a DLP rule that warns users when they attempt to share an externally-labelled document, prompting them to confirm that AI-generated content has been reviewed.

Content Compliance Rules for Regulated Industries

Navigate to Apps > Google Workspace > Gmail > Compliance to configure content compliance rules. For organisations in regulated industries, consider creating a compliance rule that:

• Flags outbound emails containing specific phrases associated with professional advice (e.g., "recommend", "advise", "in our opinion", "please note that")
• Routes these messages through a manager review queue before delivery

This is not specifically an AI governance measure, but it creates a review checkpoint for the category of content most likely to generate liability if produced without adequate review — which is precisely where AI assistance is commonly applied.

Building an AI Content Governance Routine

Technical controls create the guardrails, but governance requires a process. For Australian SMBs that want to manage AI content risk without creating bureaucratic overhead, the following routine scales to teams of 10 to 200 users.

Document Your AI Use Policy

Before auditing, you need a baseline. Create a written AI use policy that defines:

• Which Gemini features are approved for use in your organisation
• Which roles or departments have restrictions on AI feature use
• What review process is required before AI-generated content is sent externally or used in formal documents
• How staff should label or flag documents that include significant AI-generated content

This does not need to be a lengthy document. A one-page policy with clear rules is more useful than a comprehensive framework that nobody reads. Store it in a shared Drive folder and include it in your onboarding checklist for new staff.

Monthly Review: Gemini Usage by User and Team

Each month, pull the Gemini usage report from Reporting > Reports > Apps reports. Review which users and OUs are the heaviest Gemini users. Cross-reference heavy usage with your higher-risk roles. If your financial advisers or compliance officers are in the top quartile of Gemini usage, that is a signal to check whether your review controls are working for that team.

This review takes roughly 15 minutes and gives you an ongoing picture of where AI is embedded in your workflows.

Quarterly Review: Audit Log Spot Checks

Each quarter, select five to ten documents created in high-risk OUs (finance, HR, legal, client-facing teams) and review their edit history. In Google Docs, click File > Version history > See version history to see how a document evolved over time. Rapid content additions — large blocks of text added in a single edit — can indicate AI-assisted creation.

For Gmail, pull the audit log for specific high-risk users and look for Help me write events during the quarter. Verify that the drafts generated were reviewed before sending by cross-referencing the time between the draft event and the send event.

This is not about policing individual staff members. It is about verifying that your AI controls are working as intended and that human review is actually happening at the checkpoints your policy specifies.

After an Incident: Investigation Protocol

If a client, regulator, or internal stakeholder raises a concern about content that may have been AI-generated without adequate review, the following steps let you reconstruct what happened.

1. Open the Audit and investigation tool in the Admin console and search for the relevant user's activity in the Gmail and Drive audit logs for the relevant timeframe.
2. Open the document or email in question and review the version history and edit timeline.
3. Check the OAuth token audit log for any third-party AI add-ons the user had authorised.
4. Document your findings: what was generated, when, whether a review step occurred, and what the content contained.
5. If the incident involves potential disclosure of personal information, assess whether it meets the threshold for a Notifiable Data Breach under the Privacy Act 1988 and, if so, initiate your breach response process.

Having this investigation protocol documented before an incident occurs saves significant time and reduces the chance of missing relevant evidence.

Affiliate & Partner Programs

If you are reviewing or upgrading your Google Workspace plan to access the Gemini governance features described in this guide — including Enterprise audit capabilities, Vault, sensitivity labels, and advanced DLP — the following resource may help:

• Google Workspace Referral: https://referworkspace.app.goo.gl/ — Explore Business Plus and Enterprise plans that include the security investigation tool, Google Vault, and advanced Gemini admin controls.

Wrapping Up

AI-generated content is already inside your organisation's documents, emails, and presentations. The question for IT admins is not whether to allow it, but whether you have the visibility and controls in place to govern it responsibly.

The audit and governance framework covered in this guide gives you the tools to answer that question. Use the Gemini usage reports to understand where AI is being applied across your domain. Use the audit and investigation tool to reconstruct activity when something goes wrong. Configure Gemini feature settings at the OU level to match the risk profile of each team. Apply DLP rules that catch AI-assisted content leakage through email and Drive sharing. And build a written policy that gives your staff clear expectations about when AI assistance requires human review before content leaves the organisation.

The regulatory landscape around AI in the workplace is evolving rapidly. The Australian Government's AI in the public interest consultation, ASIC's increased focus on digital advice in financial services, and the OAIC's guidance on AI and privacy all point in the same direction: organisations will be expected to demonstrate that they have governance over AI-generated content, not just access to it.

For Australian SMBs, the advantage is that Google Workspace already provides most of the infrastructure you need. You do not have to build an AI governance programme from scratch. You have to use the tools that are already there with intention.

Start this week. Log into the Admin console, pull the Gemini usage report, and review which of your Gemini features are enabled for which OUs. That single 15-minute exercise will tell you more about your AI content footprint than most Australian businesses currently know — and it is the foundation everything else builds on.

Need help configuring Gemini governance settings for your Google Workspace environment? Contact our team for a free consultation.