Gemini for Google Workspace for Risk & Internal Audit
Analyse Evidence, Assess Controls & Strengthen Audit Workflows with AI
Programme Objectives
- Develop functional proficiency in applying Gemini across risk assessment, audit planning, evidence analysis, control testing, exception review, and audit reporting.
- Analyse information across approved documents, spreadsheets, emails, meetings, and other Workspace sources while maintaining evidence traceability.
- Build reusable AI-assisted workflows for risk registers, control matrices, audit workpapers, issue analysis, management responses, and follow-up tracking.
- Use Gemini in Sheets to analyse structured risk and audit data, identify patterns, categorise findings, and support exception-based review.
- Apply privacy, confidentiality, professional judgement, source validation, human review, and governance controls to AI-assisted risk and internal-audit activities.
Tools covered
Who should attend
- Risk Managers
- Internal Audit Managers
- Internal Auditors
- Risk Analysts
- Audit Analysts
- Enterprise Risk Management Professionals
- Operational Risk Professionals
- Internal Control Professionals
- Compliance Assurance Professionals
- Process Assurance Professionals
- Governance, Risk & Control Professionals
- SOX / Internal Controls Professionals
- Audit Team Leads
- Risk & Assurance Professionals
Prerequisites & Participant Readiness
- Working understanding of risk management, internal audit, or internal-control processes
- Familiarity with risk registers, controls, audit evidence, findings, and management actions
- Basic experience with Google Docs, Sheets, Drive, and Gmail is recommended
- General awareness of generative AI and prompt design is helpful
- Access to an eligible Google Workspace environment with relevant Gemini features
- No programming expertise required
- No previous Gemini for Google Workspace course completion required
TOC Modules
- Understanding Gemini capabilities across Drive, Docs, Sheets, Gmail, Meet, Slides, and Workspace workflows
- Mapping AI assistance across Plan → Assess → Test → Analyse → Report → Follow-Up audit activities
- Understanding the distinction between AI-generated analysis and validated audit evidence
- Identifying suitable versus unsuitable uses of generative AI in assurance work
- Understanding professional judgement, independence, confidentiality, and accountability requirements
- Exploring Gemini across representative risk and audit information
- Mapping Audit Activity → Workspace Tool → Gemini Capability → Human Validation
Scenarios
Audit Evidence to Validated Control Finding
Participants analyse a realistic evidence set, identify potential inconsistencies, test them against defined control criteria, and prepare a structured finding while ensuring that Gemini-generated observations remain subject to auditor verification and professional judgement.
Risk & Audit Issue to Continuous Follow-Up Workflow
Participants create a controlled follow-up workflow that reduces repetitive coordination while preserving human ownership of evidence sufficiency, risk acceptance, issue closure, and final assurance conclusions.
## Current Capability Reference
Gemini in **Google Drive** currently supports research and analysis across approved files, folders, shared drives, Docs, Sheets, Slides, PDFs, Gmail, Chat, and Calendar information. Google specifically documents capabilities for identifying patterns, comparing files, checking information against internal policies, and providing citations back to original source documents.
Gemini in **Google Sheets** currently supports table and formula creation, data analysis, insights, charts, pivot tables, filtering, conditional formatting, and other spreadsheet actions. Its **AI / Gemini function** can also generate, summarise, categorise, and analyse text using spreadsheet context, making it useful for controlled classification of audit narratives and management responses.
Gemini in **Google Docs** can draft, refine, summarise, and create documents using selected Drive files and other authorised Workspace context as sources. Source-backed outputs should still be independently verified before they are incorporated into formal risk or audit conclusions.
Google Meet's current **Take notes for me** capability can create structured meeting notes in Docs and provide meeting recaps, supporting audit interviews and follow-up documentation where organisational policy permits recording or AI note-taking.
**Google Workspace Studio** currently enables no-code AI-powered workflows using Gemini, configurable steps, and Workspace applications, allowing suitable recurring audit-support activities such as notifications, follow-ups, and information processing to be automated.
For organisational Workspace accounts, Google states that Workspace data remains subject to existing permissions and enterprise controls and is **not used to train or improve Gemini models or for advertising targeting**. Workspace also supports controls such as DLP, information rights management, and client-side encryption for protecting sensitive organisational information.
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