Role-Based Programme
RB0409
Mistral for Risk & Internal Audit
AI-Assisted Risk Analysis, Audit Intelligence & Control Evaluation
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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training
Programme Objectives
- Develop practical proficiency in using Mistral for risk identification, audit planning, control analysis, evidence review, and reporting.
- Apply AI-assisted document and information analysis to policies, procedures, audit evidence, risk registers, and control documentation.
- Use structured prompting and research workflows to identify risk themes, control gaps, exceptions, and areas requiring further investigation.
- Build repeatable AI-assisted workflows for audit preparation, testing support, issue management, management reporting, and follow-up.
- Apply responsible AI practices covering confidentiality, evidence integrity, traceability, professional judgement, access control, and human audit ownership.
Tools covered
Mistral AIMistral VibeEnterprise SearchDocument LibrariesWeb SearchDocument AnalysisMistral OCRConnectorsAI AgentsPrompting & AI-Assisted Reporting
Who should attend
- Risk Managers
- Internal Audit Managers
- Internal Auditors
- Enterprise Risk Management Professionals
- Risk Analysts
- Audit Analysts
- Operational Risk Professionals
- Technology Risk Professionals
- Governance, Risk & Compliance Professionals
- Internal Control Professionals
- Compliance Audit Professionals
- Assurance Professionals
- Risk Advisory Professionals
- Audit & Risk Team Leads
Prerequisites & Participant Readiness
- Working understanding of risk-management or internal-audit processes
- Familiarity with risk registers, controls, audit evidence, findings, and remediation activities
- Basic experience reviewing policies, procedures, reports, or structured business data
- Familiarity with audit planning and reporting concepts is helpful
- Basic understanding of generative AI concepts
- No programming expertise required
- No previous Mistral experience required
TOC Modules
Concepts
- Understanding generative AI and enterprise AI assistants in risk and assurance environments
- Mapping AI assistance across risk assessment, audit planning, fieldwork, reporting, and follow-up
- Understanding source-grounded analysis versus generated interpretation
- Differentiating AI assistance from professional audit and risk judgement
Practical activities
- Exploring Mistral through risk and audit scenarios
- Testing structured risk-focused prompts
- Mapping Audit / Risk Task → Information Source → AI Support
- Building Risk Question → AI Analysis → Human Validation workflow
Scenarios
Risk-Based Internal Audit from Planning to Finding
Business & Risk Information → Mistral Analysis → Risk Prioritization → Audit Scope → Risk & Control Matrix → Evidence Review → Exception → Root-Cause Analysis → Audit Finding
Participants perform an AI-assisted risk-based audit workflow, using Mistral to structure and analyze information while keeping audit scope, evidence assessment, and final findings under professional auditor ownership.
Enterprise Risk Review to Audit Committee Brief
Risk Register + Incident Data + Control Issues → AI Synthesis → Emerging Risk Themes → Control Gap Review → Management Actions → Executive Summary → Audit / Risk Committee Brief
Participants consolidate multiple risk sources, identify themes requiring investigation, review management actions, and prepare a concise committee-level briefing grounded in validated evidence.
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