AI & GRC Consulting
Practical AI Governance, Risk and Audit Support
AI adoption creates new questions around accountability, data protection, privacy, third-party providers, decision-making and control effectiveness.
Muzamani provides defined-scope AI and GRC consulting to organisations that are introducing or already using AI and need a structured approach to governance, risk and control requirements.
Our work combines audit, risk, governance and technology experience with practical methods for assessing AI use, identifying risks and establishing appropriate controls.
Explore Our AI Services
Muzamani provides specialised guidance on the use of artificial intelligence in internal audit and IT audit, alongside broader AI governance, risk and compliance advisory services.
AI for Internal Audit
Practical guidance on applying AI across the internal audit lifecycle, including audit planning, risk assessment, document analysis, working papers and reporting. Our approach focuses on controlled use, output validation and professional judgement.
Explore AI for Internal Audit →
AI for IT Audit
Guidance on applying AI to IT audit activities, including IT general controls, access management, change management, cybersecurity reviews, technology risk assessments and analysis of audit evidence.
Governance & Risk Advisory
Our work combines audit, risk, governance and technology experience with practical methods for assessing AI use, identifying risks and establishing appropriate controls.
Areas of support
- AI readiness assessments
- AI governance framework and policy reviews
- AI use-case and risk assessments
- Accountability and governance structures
- AI risk registers
- Data protection and information governance considerations
- Third-party AI provider risk
- AI-related control requirements
- Output validation and review processes
- AI incident and escalation arrangements
- Staff awareness and responsible-use requirements
- Governance reporting for management, boards and committees
Typical deliverables may include:-
Depending on the agreed scope, an engagement may produce::
- AI readiness or gap assessment
- AI use-case inventory
- AI risk register
- Governance and policy gap assessment
- Prioritised remediation roadmap
- Management report
- Board or Audit and Risk Committee summary
The applicable criteria are agreed during scoping and may include recognised AI governance and risk frameworks, applicable data-protection requirements, regulatory requirements and the organisation’s own policies and control environment.
AI-Enabled Internal Audit
AI can support selected parts of the internal audit lifecycle, including planning, document analysis, control assessment, working-paper preparation and reporting.
Muzamani helps internal audit functions identify appropriate uses of AI and establish controls around its use.
Areas of support
- AI-assisted audit planning
- Audit programme development
- Risk and Control Matrix preparation
- Document and policy analysis
- Control mapping
- Audit evidence organisation
- First-pass analysis of audit information
- Drafting and refinement of audit findings
- Management action tracking
- Audit reporting workflows
- AI-use procedures and documentation
- Training for internal audit teams
AI outputs are treated as inputs to the audit process, not as audit evidence or professional conclusions. Relevant information is validated against source documents and engagement evidence before it is relied upon..
Typical deliverables may include:-
Depending on the engagement, deliverables may include:
- AI-enabled audit workflow
- Prompt and procedure library
- Audit-use guidance
- Validation checklist
- AI-use log
- Revised audit templates
- Training materials
- Pilot assessment and recommendations
Explore Our AI Services
Muzamani provides specialised guidance on the use of artificial intelligence in internal audit and IT audit, alongside broader AI governance, risk and compliance advisory services.
AI for Internal Audit
Practical guidance on applying AI across the internal audit lifecycle, including audit planning, risk assessment, document analysis, working papers and reporting. Our approach focuses on controlled use, output validation and professional judgement.
Explore AI for Internal Audit →
AI for IT Audit
Guidance on applying AI to IT audit activities, including IT general controls, access management, change management, cybersecurity reviews, technology risk assessments and analysis of audit evidence.
AI & GRC Training
Training is available for organisations and internal audit teams seeking a practical understanding of AI use in audit, risk and governance.
Topics can include:
- Introduction to AI in internal audit
- Responsible use of generative AI
- AI risks and controls
- Prompt design for audit work
- Validation of AI-generated outputs
- Confidentiality and information protection
- AI-use documentation
- Developing AI procedures for internal audit
- Building controlled AI-enabled audit workflows
Training can be structured as a workshop, tailored programme or part of a broader AI adoption initiative.
How Muzamani Approaches AI
Our approach is based on controlled use, professional judgement and documented review.
Define
Identify the intended use, expected benefit, information involved and associated risks.
Test
Use controlled scenarios to assess whether the proposed AI workflow produces useful and sufficiently reliable outputs..
Validate
Check AI-generated outputs against source information, engagement evidence and defined criteria.
Govern
Document responsibilities, permitted uses, review requirements, confidentiality controls and escalation arrangements.
Improve
Refine the workflow based on testing, review results and changes in technology or applicable requirements.
Responsible Use of AI
AI tools can produce inaccurate, incomplete or misleading outputs. Muzamani therefore treats AI-generated content as material requiring professional review.
AI use within an engagement is subject to the applicable engagement terms, information-security requirements and confidentiality obligations.
Client information is not entered into public or consumer AI tools unless specifically authorised and appropriate safeguards have been established.
Where AI tools are used, relevant outputs are reviewed and validated before they are incorporated into professional deliverables.
The specific AI tools, data-handling arrangements and permitted uses applicable to an engagement are established before use where required.
Independence and Objectivity
AI advisory work is kept distinct from independent assurance responsibilities
Management remains responsible for decisions, implementation and operation of AI governance arrangements. Muzamani does not assume management responsibilities when providing AI advisory services.
Advisory and assurance engagements are separately scoped and documented. Where previous advisory work could create a self-review or other independence threat, the circumstances are assessed before accepting an assurance engagement. Appropriate safeguards are applied where possible, or the engagement is declined where independence cannot be maintained.
Scope Limitations
Our AI & GRC services focus on governance, risk, controls, internal audit and compliance considerations.
They do not include:
- Technical validation or testing of AI models
- Certification against ISO/IEC 42001
- Design, development or operation of client AI systems
- Management decision-making on behalf of the client
The specific scope, criteria and deliverables are agreed before an engagement begins.
Frameworks and Requirements
The criteria used for an AI or GRC engagement depend on its objectives, sector, technology environment and applicable requirements.
Potential reference points include:
AI governance and risk
- NIST AI Risk Management Framework (AI RMF)
- ISO/IEC 42001, Artificial Intelligence Management System
- ISO/IEC 23894, Guidance on artificial intelligence risk management
Audit, governance and technology
- IIA Global Internal Audit Standards
- COBIT
- COSO
- King V
Data protection and regulations
- Protection of Personal Information Act (POPIA)
- Applicable regulatory and organisational requirements
Where an organisation has exposure to international AI regulation, additional requirements may be considered during engagement scoping.
Not every framework applies to every engagement. The relevant criteria are agreed before the work begins.
Who We Support
Our AI & GRC services are intended for:
- Boards and Audit and Risk Committees seeking greater visibility over AI-related risks
- SOEs, municipalities and public institutions developing controls around AI use
- Private-sector organisations introducing generative AI into business processes
- Risk and compliance functions assessing emerging AI risks
- Internal audit functions developing controlled AI-enabled audit workflows
- CIOs, Information Officers and technology leaders establishing governance over AI use
- Audit professionals and teams seeking practical AI tools and training
Frequently Asked Questions
Can AI replace internal auditors?
No. AI can support selected activities within the audit lifecycle, but professional judgement, accountability, evidence assessment and audit conclusions remain with appropriately responsible professionals.
Can Muzamani assess our AI governance arrangements?
Yes. AI governance and risk reviews can be scoped around your AI use cases, governance arrangements, information risks, controls and applicable requirements.
Can you help our internal audit team introduce AI?
Yes. Support can include use-case identification, workflow design, prompt development, validation procedures, documentation and training.
Can you provide AI tools for auditors?
Muzamani is developing governed audit toolkits that combine AI prompts, audit templates, validation procedures and supporting guidance. Products will be released as they are completed.
Will our confidential information be entered into public AI tools?
Not as part of normal Muzamani practice. Client information is not entered into public or consumer AI tools unless specifically authorised and appropriate safeguards have been established.
Is an AI governance review the same as ISO/IEC 42001 certification?
No. Muzamani can provide structured advisory and gap assessment services against agreed criteria. This does not constitute certification against ISO/IEC 42001.
Need Help With AI and GRC?
If your organisation is already using AI, considering adoption, or wants to understand the risks and controls before moving further, tell us what you are trying to achieve.
We can help define an appropriate scope for an AI governance, risk or audit-enablement engagement.