Preparing For An Audit

𝐀𝐈 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐲 𝐅𝐨𝐥𝐝𝐞𝐫 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 Most AI teams deploy models without documenting purpose, owner, or risk tier. Then an auditor shows up and there's nothing to show. Here's the folder structure that makes AI governance audit-ready: 1. systems/ • One folder per AI system in production. • manifest.yaml: Owner, purpose, risk tier (Annex III classification). • model_card.md: Model versions and training data sources. • dpia.pdf: Data Protection Impact Assessment. • fria.pdf: Fundamental Rights Impact Assessment — new under EU AI Act. • change_log.md: Every model swap, every prompt change. If you can't point an auditor to a manifest for every AI system in production, you're not governed. 2. policies/ • acceptable_use.md: One-pager, board-approved. • prohibited_uses.md: What's never allowed (Article 5 red lines). • risk_appetite.md: Quantified, not qualitative. Three documents. Not thirty. Quantified risk appetite is what separates real governance from checkbox exercises. 3. evidence/ • approvals/: Sign-offs from Ethics Committee. • test_results/: Pre-deployment eval reports. • incident_log/: What broke, when, what fixed it. 4. controls/ • dlp_rules.yaml: What data can never leave. • content_filters.yaml: Output guardrails per system. • human_review_gates.yaml: When human oversight is mandatory. 5. monitoring/ • drift_alerts.yaml: What counts as model drift. • bias_dashboards.json: Protected-attribute checks. • cost_per_decision.csv: Board-facing ROI metric. If you're not tracking cost per decision, leadership can't evaluate whether AI is delivering value. 6. audit/ • access_logs/: Who saw what, when. • decision_logs/: Every high-risk inference, traceable. • retention_schedule.md: How long each artifact lives. 7. vendors/ Critical for Article 26 deployer obligations: • contract.pdf: AI-specific clauses. • data_flows.diagram: What data leaves your boundary. • breach_notification.md: Your right to be informed. Most teams assess internal AI risk carefully then pipe data through an unvetted third-party model. This folder closes that gap. 8. Root Files • REGISTRY_README.md: How an auditor uses this registry. • OWNERS.md: Escalation chain in plain English. Governance without structure fails audits. Governance with this registry is audit-ready from day one. Which folder is missing from your AI governance today? ♻️ Repost this to help your network get started ➕ Follow Sivasankar Natarajan for more #AIGovernance #EUAIAct #ResponsibleAI

Auditors look at three reconciliations first. That sets the tone for everything after. When those three tie cleanly, the questions get shorter. When they don't, the testing widens and the fees follow. The three: 1. Bank. Every account, every month, closed within ten days. Closing balance agrees to the statement to the cent. No line called suspense. 2. Revenue to cash. Revenue in the P&L walks to cash collected, movement in receivables, and deferred revenue. Your GST F5 filings should land in the same place. 3. Intercompany. Both sides match on amount, currency and date. Someone owns the matrix monthly. Every balance has a document behind it. A S$400 unexplained gap does more damage than a S$400k one that is documented. The small one suggests nobody is looking. None of this needs new software. It needs a monthly close that finishes, and a second pair of eyes that is not the person who did the bookkeeping. Swipe through for what good looks like on each one. Which of the three eats the most time in your month?

The 7-Step Audit Process (Detailed) A structured audit ensures accuracy, compliance, transparency, and trust within an organization. It provides assurance that financial, operational, and regulatory processes are functioning as intended. 1️⃣ Planning – Set Objectives & Identify Risks ▫️Purpose: To establish the foundation of the audit. ▫️Key Activities: Define the scope, objectives, and type of audit (financial, compliance, operational, etc.). Identify key risks and areas of concern. Develop a comprehensive audit plan, including timelines and resource allocation. Review past audits and organizational policies. ▫️Outcome: A clear and approved audit plan. 2️⃣ Risk Assessment – Evaluate Controls ▫️Purpose: To understand and evaluate the internal control environment. ▫️Key Activities: Identify potential risk areas (financial misstatements, process inefficiencies, compliance gaps). Evaluate existing control systems and their effectiveness. Prioritize high-risk areas for detailed testing. ▫️Outcome: A risk-based audit approach focusing on critical processes. 3️⃣ Substantive Testing – Verify Records ▫️Purpose: To gather evidence supporting the accuracy of financial and operational data. ▫️Key Activities: Perform test of details (checking invoices, receipts, and documents). Conduct analytical procedures (comparing data trends, ratios, and variances). Verify transactions, balances, and entries. ▫️Outcome: Verified and reliable audit evidence. 4️⃣ Analysis – Investigate Variances ▫️Purpose: To analyze results and identify discrepancies or inconsistencies. ▫️Key Activities: Compare actual results with budgets, standards, or prior periods. Investigate unusual trends or deviations. Identify the root cause of errors or inefficiencies. ▫️Outcome: Insight into operational weaknesses and areas for improvement. 5️⃣ Review – Validate Findings ▫️Purpose: To ensure that audit evidence supports conclusions. ▫️Key Activities: Reassess findings for accuracy and completeness. Conduct peer reviews or managerial reviews for validation. Prepare a summary of key observations and recommendations. ▫️Outcome: A validated and quality-checked audit result. 6️⃣ Reporting – Communicate Results ▫️Purpose: To present audit findings clearly to management and stakeholders. ▫️Key Activities: Draft the audit report, including findings, risks, and recommendations. Highlight areas of non-compliance, inefficiency, or control weakness. Suggest corrective actions and assign responsibilities. ▫️Outcome: A professional audit report that drives organizational improvement. 7️⃣ Completion – Follow Up on Actions ▫️Purpose: To ensure corrective measures are implemented effectively. ✅ Benefits of a Well-Executed Audit Promotes accountability and transparency. Enhances operational efficiency. Reduces fraud, error, and compliance risks. Strengthens governance and decision-making. Builds stakeholder confidence.

🔍 𝐀𝐮𝐝𝐢𝐭-𝐑𝐞𝐚𝐝𝐲 𝐂𝐥𝐨𝐮𝐝: 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐭 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬 𝐟𝐫𝐨𝐦 𝐃𝐚𝐲 𝐎𝐧𝐞 As cloud environments grow more complex, the gap between innovation and compliance widens. Here's why building audit-ready cloud architectures should be your top priority: 🏗️ 𝐊𝐞𝐲 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞𝐬: - Infrastructure as Code (IaC) with built-in compliance checks - Automated audit trails across all cloud resources - Real-time compliance monitoring and drift detection - Standardized tagging strategy for resource tracking - Least-privilege access by default 💡 𝐏𝐫𝐨 𝐓𝐢𝐩𝐬 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐓𝐫𝐞𝐧𝐜𝐡𝐞𝐬: 1. Version control your compliance policies like code 2. Implement automated remediation for common violations 3. Use cloud-native audit tools (AWS Config, Azure Policy, GCP Security Command) 4. Document everything - your future self will thank you 🛠️ E𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥 𝐓𝐨𝐨𝐥𝐬 𝐢𝐧 𝐘𝐨𝐮𝐫 𝐀𝐫𝐬𝐞𝐧𝐚𝐥: - Terraform/CloudFormation for IaC - Open Policy Agent (OPA) for policy enforcement - Cloud-native CSPM solutions - Git-based audit history - Automated compliance testing in CI/CD 🎯 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 𝐖𝐞'𝐫𝐞 𝐒𝐞𝐞𝐢𝐧𝐠: - 75% reduction in audit preparation time - Near real-time compliance reporting - Significantly fewer audit findings - Faster security clearance for new deployments 𝐑𝐞𝐦𝐞𝐦𝐛𝐞𝐫: Compliance isn't a checkbox; it's an architectural requirement. Build it in from the start, automate everything possible, and make it part of your engineering culture. 🎯 𝐈𝐬 𝐘𝐨𝐮𝐫 𝐂𝐥𝐨𝐮𝐝 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐀𝐮𝐝𝐢𝐭-𝐑𝐞𝐚𝐝𝐲? Tired of last-minute audit scrambles? Our clients were too. We helped them achieve: ✅ 70% faster audit preparations ✅ Zero critical compliance findings ✅ Automated compliance monitoring ✅ Real-time violation alerts Don't wait for auditors to find gaps in your cloud infrastructure. https://lnkd.in/e2mWD_3e

67% of security teams still run compliance audits manually in 2026. That is not a resource problem. That is a $2.1M mistake waiting to happen. AI reduces audit prep time by 40 to 60%. Yet most compliance teams only touch it during audit season. Then wonder why they are always scrambling. Here is the full masterclass on using AI for compliance the right way. 3 modes. Most teams only know one. Assist Ask questions. Draft policies. Find gaps faster. This is where most teams stop. It is also the least powerful mode. Automate AI reads your documents, maps controls, flags gaps, and creates audit-ready reports automatically. No manual pulling. No last-minute panic. Orchestrate This is where compliance becomes operational. Run tasks automatically. Collect evidence. Score risks. Generate reports on schedule. Your compliance posture is always visible. Always current. The 5-step workflow no one talks about: Step 1 : Start with gap analysis Upload your policies and security controls. Ask AI to map them against your target framework. Get a prioritized gap list in minutes, not weeks. Step 2 : Connect your evidence sources Link Jira, ServiceNow, AWS Config, Azure Policy, Google Workspace. AI pulls evidence automatically and tags it to the right control. Step 3 : Build custom compliance skills Run an audit workflow once manually. Then tell AI to package it into a reusable template. It captures the steps, evidence sources, and reporting format automatically. Step 4 : Automate reporting Schedule daily risk scores, weekly control coverage reports, and monthly board-ready summaries. No manual updates. No version confusion. Step 5 : Move to continuous compliance Framework coverage tracked live in the background. No more point-in-time audits. No more last-minute scrambles before an assessor walks in. The 3 mistakes killing compliance programs: Mistake 1 : Using AI only at audit time AI used only during audit season is a last-minute patch. Embed it in your daily workflow. Continuous compliance beats reactive compliance every time. Mistake 2 : No framework context or memory AI gets smarter when you tell it your frameworks, risk appetite, and compliance history. Set your instructions once. It works with that context in every session. Mistake 3 : Not connecting your evidence sources AI without your actual data is just a policy writer. Connect your cloud environments, ITSM tools, and asset management systems. That is where the real compliance power starts. The teams winning in 2026 are not working harder. They built a system that works while they sleep. Continuous monitoring. Automated reporting. Live framework coverage. The audit does not surprise them. They are always ready. Compliance is not a once-a-year event. It is an always-on operation. Which of the 3 mistakes is your team still making? ♻️ Save this and repost it for your compliance team.

Basic Accounting Monthly Closing Checklist: 1. 𝐁𝐚𝐧𝐤 𝐑𝐞𝐜𝐨𝐧𝐜𝐢𝐥𝐢𝐚𝐭𝐢𝐨𝐧: • Review and reconcile bank statements. • Verify outstanding checks and deposits. 2. 𝐉𝐨𝐮𝐫𝐧𝐚𝐥 𝐄𝐧𝐭𝐫𝐢𝐞𝐬: • Record adjusting entries for accruals and deferrals. • Update depreciation for fixed assets. • Adjust prepaid expenses and unearned revenue. 3. 𝐀𝐜𝐜𝐨𝐮𝐧𝐭𝐬 𝐑𝐞𝐜𝐞𝐢𝐯𝐚𝐛𝐥𝐞: • Reconcile accounts receivable. • Verify the allowance for doubtful accounts. 4. 𝐀𝐜𝐜𝐨𝐮𝐧𝐭𝐬 𝐏𝐚𝐲𝐚𝐛𝐥𝐞: • Reconcile accounts payable. • Confirm the accuracy of recorded expenses. 5. 𝐏𝐚𝐲𝐫𝐨𝐥𝐥: • Review payroll transactions for accuracy. • Confirm tax withholdings and other deductions. 6. 𝐅𝐢𝐱𝐞𝐝 𝐀𝐬𝐬𝐞𝐭𝐬: • Update fixed asset registers. • Record disposals or additions to fixed assets. 7. 𝐈𝐧𝐯𝐞𝐧𝐭𝐨𝐫𝐲: • Verify physical inventory against recorded amounts. • Adjust inventory levels as needed. 8. 𝐋𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: • Confirm all liabilities are recorded. • Reconcile outstanding loans or credit balances. 9. 𝐄𝐱𝐩𝐞𝐧𝐬𝐞 𝐑𝐞𝐯𝐢𝐞𝐰: • Review all expenses for accuracy and proper classification. • Confirm that all incurred expenses are recorded. 10. 𝐑𝐞𝐯𝐞𝐧𝐮𝐞 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧: • Confirm proper recognition of revenue. • Review deferred revenue and recognize as appropriate. 11. 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐒𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭𝐬: • Generate financial statements (Income Statement, Balance Sheet, Cash Flow Statement). 12. 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: • Analyze financial statements for trends and anomalies. • Conduct variance analysis against budget/forecast. 13. 𝐂𝐥𝐨𝐬𝐢𝐧𝐠 𝐄𝐧𝐭𝐫𝐢𝐞𝐬: • Close temporary accounts (e.g., revenue, expenses) to retained earnings at the year end closing 14. 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧: • Ensure all supporting documentation is filed appropriately. • Maintain a clear audit trail for all transactions. 15. 𝐁𝐚𝐜𝐤𝐮𝐩 𝐚𝐧𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲: • Backup financial data and store it securely. • Review access controls and restrict as necessary. 16. 𝐅𝐢𝐧𝐚𝐥 𝐑𝐞𝐯𝐢𝐞𝐰: • Perform a final review of the entire closing process. • Confirm all necessary steps have been completed accurately. 17. 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠: • Share financial reports with relevant stakeholders. • Address any queries or concerns. 18. 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞: • Ensure compliance with accounting standards and regulations. • Document any changes in accounting policies or practices. 19. 𝐅𝐮𝐭𝐮𝐫𝐞 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠: • Identify areas for process improvement. • Plan for upcoming months and potential challenges. 20. 𝐀𝐮𝐝𝐢𝐭 𝐏𝐫𝐞𝐩𝐚𝐫𝐚𝐭𝐢𝐨𝐧: • Prepare for internal or external audits. • Document any issues or areas of concern for follow-up.

Building an Internal Audit Function from Scratch Establishing an Internal Audit (IA) function where none existed is both a challenge and an opportunity. Reporting directly to the CEO without an Audit Committee (AC) means you are laying the foundation for governance, risk management, and internal controls. 1. Understand the Organization Start by learning the business strategy, key processes, and stakeholder expectations. Without this context, controls and audit plans risk being misaligned. 2. Assess Risks & Controls Identify strategic, operational, compliance, and financial risks through interviews, walkthroughs, and reviews of policies and KPIs. This provides a clear picture of vulnerabilities and gaps. 3. Develop a Risk-Based Internal Audit (RBIA) Plan Prioritize areas with the highest risk and break processes into auditable sub-processes (e.g., procurement → vendor onboarding → payments). Keep the RBIA dynamic, updating it as the business evolves. 4. Define the Audit Charter & Structure Formalize IA’s mandate, scope, and independence. Create clear reporting and escalation lines to ensure transparency in the absence of an AC. 5. Build Trust & Credibility Start with quick wins that deliver immediate value. Communicate openly and constructively. Collaborate with process owners to co-create solutions. Continuously adapt to feedback and business needs. Final Thoughts Launching IA from the ground up requires vision, influence, and strong technical expertise. By aligning with organizational goals and delivering value early on, IA can become a trusted partner and a key pillar of governance. Have you ever been part of building an internal audit function from scratch? What lessons did you learn along the way? #InternalAudit #RiskManagement #Governance #RBIA #Leadership

Isn’t AI Just Data Analytics? At a professionals networking meeting a while ago I overheard someone boasting that they were a world leader with AI in Internal Audit because “AI is just data analytics and I have been doing data analytics for decades”. The keen listener agreed with the keener boaster and they then changed their conversation as to how they would improve the US political environment!! The self assured gentleman’s vision of AI set a spark in me – not a good one rather an out of control wildfire type one which come to think of it may be a good one! – to refute his worldview if only for my education. So over the last couple of weeks I have been jotting down randomly my retort in the way of newly conceived LLM prompts that Internal Audit could use that would take us past the world of data analytics (which I don’t dispute by the way is necessary but go and chat with Excel for that!) into a whole new paradigm of insight. ~ AUDIT PLANNING & RISK FORESIGHT ~ 1 - Analyse our last 5 years of audit reports and recommend high-risk areas we’ve under-covered. 2 - Predict risk escalation trends based on our past incidents and audit findings. 3 - Cross-reference our audit plan against Fortune 500 class actions in the last 3 years. Where do we under-invest? 4 - Build a dynamic audit plan that shifts weekly based on real-time internal data and industry disruption velocity. 5 - Cross-check executive incentive plans with risk culture metrics - where are we rewarding latent risk-taking? 6 - Correlate risk incidents with leadership turnover, culture surveys, and reorg activity - map the leadership fragility zone. ~ SCOPING & PROGRAM DESIGN ~ 7 - Simulate a walkthrough of the X process and flag likely control gaps. 8 - Build a zero-trust audit scope - assume every control is flawed. 9 - Reverse engineer our last 10 audit reports - what are we not saying that we should be? ~ FIELDWORK, TESTING & OBSERVATION ~ 10 - Compare this interview transcript with the control design - are there discrepancies? 11 - Test for AI-generated documents disguised as genuine - what authentication failures are we blind to? 12 - Design a continuous assurance program where AI performs micro-audits every hour across core processes. ~ INSIGHT SYNTHESIS & REPORTING ~ 13 - Summarise root causes from last 5 years of audit reports - cluster by theme. 14 - Model the likely risk trajectory if management does not implement recommendations. ~ STRATEGIC ADVISORY ~ 15 - Act as a digital twin of the Chief Audit Executive - critique our current audit strategy. 16 - Simulate the unintended consequences if our top 5 audit recommendations are fully implemented. 17 - Build a dashboard that shows how fast assurance turns into action—what is our audit conversion rate? 18 - Develop a ‘resistance map’—which teams are most likely to game, delay, or impede audit findings?

Enhancing Internal Audit Programs through Risk-Based Auditing: A Strategic Approach Integrating Risk-Based Auditing (RBA) into internal audit programs enhances effectiveness and efficiency. Learn how to achieve this strategic approach: Understanding Risk-Based Auditing - Risk-Based Auditing (RBA) identifies and assesses key risks to an organization's objectives, allocating resources to high-risk areas for more relevant and timely insights. Key Steps to Integrate RBA - 1. Understand the Organization: Understand the organization's objectives, strategies, and risk landscape by reviewing key documents and consulting with stakeholders to identify critical risk areas. 2. Risk Assessment: Conduct a thorough risk assessment to identify and prioritize risks using tools like risk matrices and heat maps, forming the foundation of the RBA approach. 3. Develop the Audit Plan: Develop a dynamic risk-based audit plan that aligns with the organization's risk profile, allowing for adjustments as risks evolve. 4. Allocate Resources: Allocate audit resources based on risk assessment, prioritizing high-risk areas and adjusting resource allocation accordingly. 5. Coordinate with Other Assurance Providers: Collaborate with other assurance providers to avoid duplication and ensure comprehensive risk coverage. 6. Communicate the Plan: Communicate the risk-based audit plan to stakeholders to gain support and understanding of audit focus and priorities. 7. Continuous Monitoring and Updating: Regularly review and update the risk-based audit plan to reflect changes in the organization's risk environment and ensure ongoing effectiveness. Benefits of Risk-Based Auditing - i. Enhanced Focus: RBA focuses on high-risk areas, addressing critical issues and leading to more impactful audit outcomes. ii. Proactive Risk Management: RBA promotes a proactive approach to risk management, helping organizations to anticipate and mitigate risks before they materialize. iii. Improved Resource Allocation: Efficient use of audit resources by focusing on areas that matter the most, thereby increasing the overall efficiency of the audit process. iv. Better Stakeholder Communication: Clear communication of the audit plan and its focus areas enhances transparency and builds trust with stakeholders. Conclusion - Integrating Risk-Based Auditing into internal audit programs is not just a best practice but a necessity in today’s dynamic business environment. It enables organizations to stay ahead of potential risks, ensuring robust risk management and sustained success.