Role-Based Programme
RB0407

Mistral for Risk & Internal Audit

AI-Assisted Risk Research, Evidence Review & Audit Analysis

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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how Mistral can support risk assessment, internal audit research, document review, evidence synthesis, and reporting activities.
  • Explore practical AI-assisted methods for reviewing policies, procedures, controls, audit evidence, and risk information.
  • Experience Mistral for structured research, file analysis, issue identification, and preparation of audit-ready summaries.
  • Identify opportunities to support risk registers, control reviews, audit planning, findings, and remediation follow-up.
  • Recognise confidentiality, evidence traceability, source validation, professional judgement, and responsible AI requirements.

Tools covered

Mistral VibeVibe Work ModeDeep Research SkillWeb SearchFile AnalysisLibrariesAgentic SearchDocument & Report Creation

Who should attend

  • Risk Managers
  • Enterprise Risk Management Professionals
  • Internal Audit Managers
  • Internal Auditors
  • Risk Analysts
  • Audit Analysts
  • Governance, Risk & Control Professionals
  • Operational Risk Professionals
  • Controls Assurance Professionals
  • Internal Control Professionals
  • Audit Coordinators
  • Risk & Internal Audit Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of risk-management or internal-audit processes
  • Familiarity with risks, controls, policies, audit evidence, findings, or remediation activities
  • Basic experience working with business documents or spreadsheets
  • No AI or programming expertise required
  • No previous Mistral experience required
  • Organisational policies should be followed before providing confidential, regulated, privileged, personal, or commercially sensitive information to AI platforms

TOC Modules

Concepts
  • Understanding Mistral Vibe and Work Mode for professional knowledge-work activities
  • Exploring AI assistance across Research → Review → Analyse → Document → Report
  • Identifying suitable risk and internal-audit use cases
  • Distinguishing AI-generated observations from verified audit evidence and professional conclusions
Practical activities
  • Exploring a sample risk or audit task in Mistral
  • Mapping an audit workflow to relevant Mistral capabilities
  • Testing a basic evidence-analysis prompt

Scenarios

Control Evidence to Preliminary Audit Observation

Control Requirement → Policy / Procedure → Mistral File Review → Evidence Summary → Potential Exception → Auditor Validation → Preliminary Observation

Participants use Mistral to organise and summarise control evidence while keeping interpretation, finding formation, and audit judgement with qualified professionals.

Emerging Risk to Audit Planning Input

Emerging Risk Question → Deep Research → Source Review → Key Risk Themes → Business Impact → Audit Relevance → Audit-Team Review

Participants use Mistral to research an emerging business or regulatory risk and convert verified findings into concise audit-planning input.

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