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Responsible AI Use Policy

1. PURPOSE

This policy outlines the principles, safeguards, and responsibilities governing the use of Artificial Intelligence (AI) technologies by nVisionIT when delivering services to clients. The goal is to ensure that AI is used responsibly, ethically, securely, and transparently, following industry standard Responsible AI frameworks and aligning with applicable privacy regulations such as POPIA.

2. SCOPE

This policy applies to:

  • All AI systems, tools, and models used in client engagements (including Generative AI, classification systems, Copilot-based tooling, and automated analysis tools).
  • All nVisionIT staff, contractors, and partners involved in consulting, development, testing, data handling, or solution delivery.
3. RESPONSIBLE AI PRINCIPLES

Our Responsible AI programme is based on globally recognised frameworks and industry best practices. These principles serve as the foundation for all AI related work performed for clients.

3.1 ACCOUNTABILITY

nVisionIT maintains full accountability for any AI system used in a client environment. Humans remain responsible for reviewing, verifying, and approving all AI generated outputs.

3.2 FAIRNESS & BIAS MITIGATION

We follow structured processes to minimise bias during model selection, prompt design, data handling, and output evaluation.

3.3 DATA PRIVACY & POPIA ALIGNMENT

All AI activities must respect:

  • Data minimisation
  • Purpose specificity
  • Consent requirements
  • Secure processing
  • Avoidance of confidential data exposure
Automated classification systems may also be used to detect regulatory requirements such as POPIA.

3.4 TRANSPARENCY

We aim to provide clients with clear visibility into:

  • How AI systems function
  • How outputs are generated
  • How content is validated
3.5 SECURITY & SAFETY

AI enabled processes must be resilient, governed, and protected from misuse, manipulation, or leakage.

3.6 VALIDITY & RELIABILITY

All AI-generated material undergoes quality checks, testing, and verification for accuracy, correctness, and business relevance.

4. ACCEPTABLE USE OF AI IN CLIENT ENVIRONMENTS

4.1 PERMITTED USE

AI may be used for:

  • Code scaffolding, automated testing, secure deployment analysis, regression analysis
  • Document generation (BRDs, SADs, specs) and internal productivity
  • Security focused enhancements such as anomaly detection
  • Classification of data under POPIA and other regulatory frameworks
All outputs must be validated before inclusion in deliverables.

4.2 PROHIBITED USE

Employees must not:

  • Provide any client, citizen, confidential, or third-party data to public Generative AI tools without explicit approval
  • AI tools to generate full systems or deploy unvalidated code.
  • Use AI in a way that violates laws, contracts, privacy requirements, or industry standards.
  • Generate deceptive, fraudulent, or misleading content.
5. DATA PROTECTION & CONFIDENTIALITY CONTROLS

5.1 ZERO EXPOSURE RULE

No confidential, regulated, personal, or client owned data may be submitted to external AI platforms unless:

  • A contractual agreement exists,
  • The platform meets client specific security requirements, and
  • Explicit written approval is obtained.
5.2 SECURE PROCESSING

AI systems used in client engagements must follow:

  • Data classification
  • Access controls
  • Encryption standards
  • Secure prompt-handling guidelines
5.3 RISK-BASED APPROACH

Automated tools may assist with risk scoring, compliance tagging, and identifying sensitive information under POPIA.

6. CLIENT TRANSPARENCY & REPORTING

nVisionIT commits to:

  • Disclosing where and how AI is used in deliverables
  • Outlining validation steps and safeguards
  • Documenting governance and human review processes
Clients may request:

  • Model usage details
  • Data handling procedures
  • Security or audit assurances
  • AI risk assessments
7. GOVERNANCE & OVERSIGHT

7.1 APPROVAL OF AI TOOLS

Only approved AI technologies may be used for client projects, based on:

  • Security posture
  • Licensing
  • Cost management
  • Governance review
7.2 QUALITY ACCOUNTABILITY

AI assists, humans own.

All AI generated artefacts must be:

  • Reviewed
  • Version controlled
  • Tracked in repositories
7.3 CONTINUOUS MONITORING

Internal governance teams periodically review:

  • Model performance
  • Security threats
  • Compliance requirements
  • Effectiveness of controls
8. REGULATORY COMPLIANCE COMMITMENT

nVisionIT commits to compliance with:

  • POPIA
  • Client specific data protection terms
  • Industry standards for responsible AI
  • Global frameworks (where applicable)
Where AI is classified as "high risk," appropriate controls, documentation, and validation mechanisms will be implemented.

9. INCIDENT MANAGEMENT & REPORTING

Any suspected or confirmed AI related incident - including data leakage, incorrect outputs, harmful content, or unauthorised access - must be immediately escalated to info@nvisionit.co.za or Account Manager for containment and client notification where required.

10. REVIEW CYCLE

This policy will be reviewed annually, or sooner if:

  • Regulatory environments change
  • Client requirements necessitate modifications
  • New AI capabilities introduce new risk considerations