AI Governance & Risk Management
Clarify responsibilities, decision rights, controls, and risk oversight throughout the AI lifecycle.
Indicative duration
4-8 weeks
Roles, risks, and controls for AI use
AI use needs clear responsibilities and controls from the outset. Organizations need to know who approves use, accepts residual risk, and decides when an issue requires action.
We design governance suited to organizational needs, linking policies, risk ownership, procedures, and oversight. ISO/IEC 42001:2023 is a relevant management-system reference rather than a certification promise.
Framework
Policy Development
Draft comprehensive internal policies addressing AI governance principles, ethical boundaries, permitted and prohibited use cases, decision-making hierarchies, and accountability mechanisms.
Algorithm Impact Assessment
Assessment of algorithmic impacts on rights, bias, and privacy to inform mitigation design.
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.
Monitoring Mechanism
Design monitoring indicators, reporting, escalation, and performance-review mechanisms. Building a monitoring application requires a separate implementation assignment.
Deliverables and supported decisions
Clear responsibilities, decision rights, usage controls, and risk oversight suited to the organizational context.
The decision this supports
Who controls AI use and its risks?
Engagement deliverables
- 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
A governance design that identifies who decides what, which evidence is required, and how risks are monitored and escalated.
Roles and engagement boundaries
We design governance and risk controls. Internal owners or assigned parties implement and maintain them. Legal compliance and certification, if chosen, require their respective assessments; advisory work does not guarantee either.
Standards & References
- ISO/IEC 42001:2023 — voluntary AI management system standard
- NIST AI RMF 1.0 (2023) — voluntary risk management framework
- Indonesia’s Law No. 27 of 2022 on Personal Data Protection — relevant legal obligations
- Sector-specific regulations and guidance — selected according to organizational mandate
FAQ
Frequently Asked Questions
What can this service deliver?
Deliverables may include a draft AI usage policy, risk register, lifecycle procedures, ethics guidance and monitoring design. The final scope depends on your organization’s needs, risk profile and obligations.
Does this service help with PDP Law compliance?
We can map data-protection principles, privacy impact assessment needs, and controls into draft policy. The organization should obtain legal review to determine compliance.
How long does AI governance development take?
The typical duration is 4-8 weeks, depending on policy scope, number of units involved, and algorithm risk complexity.
Is ISO/IEC 42001 mandatory?
No. ISO/IEC 42001 is a voluntary management-system standard. Certification, if pursued, is conducted by an authorized certification body.
Starting an engagement
Define the engagement scope
Discuss your needs to agree deliverables, roles, timing, and cost assumptions for a proposal.
Share a general outline. Avoid sending third-party personal data, credentials or confidential documents in the initial discussion.