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KERJABAIKConsulting
04 / 04 — Governance & Sustainability

AI Governance
& ISO/IEC 42001

Design policy frameworks, risk controls, decision roles, and oversight mechanisms based on relevant obligations and organizational context.

Governance & Sustainability

Responsible AI

Without adequate governance architecture, AI systems risk generating discriminatory bias, exposing sensitive data through security vulnerabilities, producing decisions that cannot be explained or audited, and creating liability exposure that threatens organizational reputation and regulatory standing.

This service helps map obligations and translate them into control designs. Compliance determinations and certification remain with the organization and authorized parties.

Framework

Typical duration: 4-8 weeks

  1. 01

    1. Policy Development

    Draft comprehensive internal policies addressing AI governance principles, ethical boundaries, permitted and prohibited use cases, decision-making hierarchies, and accountability mechanisms.

  2. 02

    2. Algorithm Impact Assessment

    Systematic audit of algorithmic risk impacts on individual rights, social equity, demographic bias potential, and privacy implications, producing classified risk registers with targeted mitigation strategies.

  3. 03

    3. SOP & Operational Guidelines

    Creation of detailed standard operating procedures governing the complete AI system lifecycle from initial procurement and vendor selection through development, deployment, operation, monitoring, and eventual model retirement or replacement.

  4. 04

    4. Monitoring Mechanism

    Design monitoring and oversight mechanisms for periodic review of model performance, data quality, control status, risk indicators, and ethics concerns.

Deliverables

Deliverables

A governance design that identifies who decides what, which evidence is required, and how risks are monitored and escalated.

Discuss Governance
  1. 01AI governance framework with roles, forums, and decision rights
  2. 02Draft AI usage policy and controls for internal review
  3. 03Algorithmic risk register with owners and mitigation plans
  4. 04Draft procedures, ethics guidance, monitoring, and reporting

Service Summary

AI governance services help organizations design policies, controls, risk registers, procedures, and oversight mechanisms with reference to relevant obligations and standards.

When it's needed

  • 01Organization starts using AI for decision-making
  • 02Management of sensitive data such as health or population records
  • 03Want to draft internal policies/SOPs for AI
  • 04Need long-term legal and reputational risk mitigation

Key Outcomes

  • 01AI governance framework with roles, forums, and decision rights
  • 02Draft AI usage policy and controls for internal review
  • 03Algorithmic risk register with owners and mitigation plans
  • 04Draft procedures, ethics guidance, monitoring, and reporting

Standards & References

  • ISO/IEC 42001 — AI Management System
  • Indonesian Personal Data Protection Law
  • NIST AI Risk Management Framework
  • AI ethics and Algorithmic Impact Assessment principles

FAQ

Frequently Asked Questions