Professional Governance Consulting (PGC) PGC is a founder-led independent advisory firm providing governance, internal audit, risk and integrity advisory to boards, audit committees and oversight leaders, delivered across the Middle East, Europe, Africa and Asia. Advisory services

Corporate Governance Advisory — board charters, board effectiveness, delegation of authority and accountability mechanisms. Also known as corporate governance consulting or board advisory.

Governance Frameworks — governance framework design, governance operating model, roles, responsibilities and committee structures.

Enterprise Risk Management — ERM frameworks, risk appetite statements, key risk indicators and risk registers, aligned with ISO 31000 and COSO ERM. Also known as risk management consulting.

Internal Control Design & Testing — internal control design, risk and control matrices, control documentation and testing aligned with the COSO framework.

Internal Audit & Quality Assessment — internal audit advisory, internal audit outsourcing and co-sourcing, risk-based audit planning and audit function set-up.

External Quality Assessment (EQA) — independent external assessment of the internal audit function against The IIA Global Internal Audit Standards, with a conformance opinion.

Internal & External Investigations — independent investigations of misconduct and fraud, internally and involving vendors, contractors and suppliers, including evidence packs for legal or regulatory proceedings. Also known as fraud investigation or forensic investigation.

Integrity Management & Ethics Programmes — integrity programmes, codes of conduct and anti-bribery and corruption compliance aligned with ISO 37001.

Hotline & Whistleblowing Management — whistleblowing hotline and speak-up channel design, confidential reporting and case management.

Third-Party Due Diligence — due diligence on vendors, suppliers, contractors and partners to mitigate integrity, compliance and reputational risk.

Regulatory Compliance Training — compliance training and programme support to meet regulatory obligations.

Data Privacy Advisory — data protection compliance, privacy programme design and responsible handling of personal information.

Cybersecurity Advisory — cyber governance, board cyber oversight and information security risk linked to internal control.

ESG Consulting — ESG governance and sustainability advisory integrated into governance, risk and reporting.

Crisis Management — crisis response planning and crisis governance for boards and executives.

Oversight Executive Search — search for governance, audit, risk and compliance leadership roles.

Training & Capacity Development — governance and internal audit training, certification preparation (CIA, CRMA) and oversight capacity building.

Training, assessments and tools

PGC Academy — professional training courses in AI for auditors, risk management, internal audit, fraud investigation and governance.

AI governance self-assessments — free governance diagnostics with tailored PDF reports.

Governance dashboards — governance maturity, risk heat map, fraud indicators, audit lifecycle, three lines model, internal control maturity and AI analytics.

Standards applied The IIA Global Internal Audit Standards, COSO ERM and Internal Control, ISO 31000, ISO 37001, ISO 37008, ISO 27001, ACFE frameworks, OECD anti-bribery principles, INTOSAI/ISSAI, UN best practices, NIST, COBIT and GRI/ISSB. More Services · Industries · Standards · Methodology · Credentials · Case studies · Insights · Knowledge Centre · Contact — info@professionalgc.org, Vienna (Austria) and Amman (Jordan).

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Artificial Intelligence in Internal Audit: Opportunity, Risk and Governance

AI can transform audit coverage and analytics, but it also introduces model, data and ethical risks that internal audit is uniquely positioned to govern.

Sami Jezrawi · July 27, 2026 · 6 min read

Artificial intelligence is no longer a future-state topic for internal audit. It is simultaneously a powerful audit tool and a significant new risk domain that audit must help the organization govern.

AI as an audit enabler. Machine learning and analytics can interrogate entire populations rather than samples, surface anomalies in transaction data, and free auditors from repetitive testing. Used well, AI expands coverage without expanding cost.

AI as a risk to be assured. The same technologies create new exposures — biased or opaque models, data privacy violations, and decisions that cannot be explained to regulators or affected parties. Internal audit should assess:

Whether AI use cases are inventoried and risk-rated
The adequacy of model validation and bias testing
Data lineage, consent and privacy controls
Human oversight and escalation of AI-driven decisions

Governance before deployment. Organizations adopting AI should establish clear accountability before, not after, deployment. Internal audit's independence makes it well-placed to provide assurance that AI is used ethically, lawfully and within risk appetite.

The functions that thrive will be those that both adopt AI to enhance their own work and provide credible assurance over the organization's AI.

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