AI Governance Policy Framework

An enterprise AI governance policy framework is the connected set of policies, standards, procedures and decision records that tells people how AI may be introduced, used and changed. Its value is consistency: the same proposal should meet the same underlying requirements even when different business units use different tools or review forums.

For a Saudi group, the difficult question is usually how a central requirement becomes a local operating decision. A short responsible-AI statement cannot specify every permission, supplier arrangement or exception. Equally, a collection of detailed departmental rules can contradict itself and leave nobody able to explain which instruction prevails.

This guide is for enterprise governance leads, policy owners, legal and risk teams, and business-unit leaders constructing that hierarchy. It offers an original design for connecting obligations to controls and evidence. The objective is an operable framework with identifiable authority, rather than a large document that staff cannot apply.

Give each document a different job

Begin by separating stable commitments from rules likely to change. The enterprise policy should establish scope, accountability, prohibited conduct and approval principles. A standard specifies an enforceable requirement within that policy. A procedure explains how a person performs a particular activity. A record preserves the evidence and result of doing it.

For example, the policy might require approved purposes and accountable owners. A supplier standard might require review of processing arrangements before activation. An intake procedure tells a sponsor where to submit the proposed feature. The resulting decision record names the permitted use, evidence considered and unresolved conditions. None of these documents substitutes for the others.

A proposed enterprise policy hierarchy

Layer	Primary question	Typical change owner
Enterprise policy	What commitments and authority govern AI?	Accountable policy authority under the organisation's delegations
Control standard	What must a defined class of use demonstrate?	Named control owner with specialist review
Operating procedure	How does a team perform the required review?	Process owner
Configuration instruction	How is the approved requirement implemented in this environment?	Authorised service or platform owner
Decision and evidence record	What was considered and permitted in this case?	Decision owner and record custodian

Use explicit document identifiers and owners. A requirement referring vaguely to “the relevant security policy” is difficult to implement when several versions circulate. Link to the authoritative controlled document and identify which part governs the proposed use.

Map obligations before drafting enterprise promises

Build an applicability register before writing a universal clause. Record the legal entity, activity, jurisdiction, sector and relevant information. Ask qualified owners to distinguish binding requirements, contractual commitments, adopted standards and voluntary guidance. That distinction determines which decisions the company can vary internally and which it cannot.

Saudi national guidance belongs in that exercise. The official announcement of SDAIA's National AI Risk Management Framework describes it as a guiding reference for government and private entities. Its existence should prompt an informed alignment review; the announcement does not justify treating every recommended practice as a new statutory obligation for every business.

International standards can support the structure. ISO/IEC 42001 concerns an AI management system. An enterprise choosing that route must assess the actual standard and its intended scope. A policy framework that mentions the standard has not demonstrated conformity or obtained certification.

Turn each applicable obligation into a control objective, then identify the policy layer that gives it effect. Where two requirements differ, preserve the difference. A group rule may establish a minimum while a regulated subsidiary requires a stronger local control. Do not resolve that conflict by silently replacing the stronger requirement with the group default.

Define coverage by activity and responsibility

State whether the framework covers developed, purchased, embedded and employee-selected AI. Include work performed by suppliers on the organisation's behalf where relevant to its responsibilities. A product can introduce a new AI feature without a new purchase order; the framework needs a way to notice and assess that change.

Describe the people and processes covered as well as the technologies. Employees using a writing assistant, teams developing a model and operational managers relying on an external recommendation face different decisions. A single tool list cannot express all those responsibilities. The purchased and embedded AI guide helps identify where responsibility remains with the adopting organisation.

Use boundary statements that can be checked. “Approved only for drafting public event copy from approved public sources” is more useful than “low-risk marketing AI”. Add the permitted audience, data, actions and exclusions. A change to those boundaries can trigger a new review without requiring a rewrite of the entire enterprise policy.

Address subsidiaries, joint ventures and contractors explicitly. Record where the group can issue mandatory instructions, where it exercises influence through contracts, and where a separate governing body must decide. A central team should not claim decision rights it does not possess.

Build control inheritance across the group

Control inheritance lets a business unit use evidence already established centrally, such as a reviewed hosting arrangement or approved identity configuration. It reduces duplicate work only when the local use actually shares those conditions. A central platform approval should identify precisely what is reusable and what remains the adopting team's responsibility.

Create an inheritance record with the control identifier, supplying owner, supported configuration, evidence reference, review date and conditions. The local team then confirms that its use matches those conditions. If it uses a different connector, audience or retention feature, it must assess the difference rather than selecting an inherited-control checkbox.

Separate the effectiveness of a shared control from the suitability of a business purpose. Central authentication can restrict access while the local task remains inappropriate or poorly evaluated. Conversely, a sound purpose does not correct a weak shared permission model. The review should preserve both conclusions.

Agree how inherited evidence is withdrawn. If a platform owner discovers that a configuration is ineffective, affected teams need to know which approvals relied on it. A maintained dependency map turns the issue into a targeted review. Without that map, the group must guess where the control was used.

Worked example: a business unit enables conversation memory

Consider an illustrative group with an approved assistant for drafting internal operating notes. The central approval covers a particular supplier arrangement and configuration. A business unit asks to enable a memory feature that carries information between sessions. The example does not assume that any named supplier offers a particular setting or retention commitment.

The enterprise policy already requires authorised purposes, controlled information handling and approved changes. The new feature therefore does not automatically require a new board policy. It does require an assessment of the specific standard and configuration conditions supporting the existing approval.

Illustrative change assessment within the policy hierarchy

Question	Evidence needed	Policy consequence
What does memory retain and reuse?	Feature-specific documentation and a controlled demonstration	Update the processing and retention assessment
Who can retrieve retained information?	Identity, sharing and deletion tests for the proposed configuration	Confirm or amend the access standard application
Does the approved supplier arrangement cover it?	Relevant contractual and service evidence	Obtain procurement and privacy review where required
Who owns continuing operation?	Named service owner and review procedure	Add operational responsibility to the decision record

If the feature cannot meet the applicable requirements, the business unit retains the existing configuration or proposes another design. An internal exception cannot authorise unlawful processing or remove a binding contractual restriction. Where a discretionary internal standard can be varied, the decision must follow the exception-management process and identify its limits.

The final record might permit memory only for a defined non-personal source collection after verified deletion and access tests. It should also state what remains disabled. This is an illustrative decision form, not a recommendation that this feature is suitable for every organisation.

Write requirements that can be evidenced

Replace broad instructions with testable responsibilities. “Use AI responsibly” needs supporting requirements identifying who checks a purpose, which evidence is required and when approval expires or must be reconsidered. The enterprise policy can remain concise while its standards make those obligations operable.

A useful control statement includes the actor, action, scope, trigger and record. For example: before enabling a new external connector, the service owner records the data and permissions affected, obtains the required review and retains the approved configuration. The statement can be tested against an actual change.

Specify acceptable evidence without insisting on one unnecessary format. A controlled system record, signed decision or approved ticket can establish the same fact if its identity, authority and history are reliable. Requiring teams to copy every record into a separate governance spreadsheet can increase errors and weaken the source of truth.

Keep guidance separate from requirements within each document. Staff should be able to distinguish a mandatory step from an illustrative example. Use “must” only where the organisation intends a requirement and has assigned the authority to enforce it.

Resolve conflicts and exceptions through named authority

Publish an order-of-precedence rule that qualified owners have reviewed. It should explain how binding obligations, entity-specific rules, enterprise standards and local instructions interact. Do not imply that an internal hierarchy can override law or a regulator's applicable requirement.

When a conflict arises, record the competing instructions and affected activity. Identify the owner authorised to resolve the issue and the temporary operating boundary. A team should not continue a disputed activity merely because neither document explicitly says who must pause it.

Exceptions should be specific, time-bound where appropriate, and tied to compensating measures and an accountable decision. Recurring exceptions may reveal that a standard is impractical or that teams lack a workable service. Reviewing that pattern is more valuable than repeatedly approving the same deviation.

Connect this mechanism to AI approval routes and risk acceptance records. A committee recommendation, an exception and a risk acceptance are different acts. The framework must show which one is needed and who can perform it.

Keep Arabic and English versions authoritative and usable

Choose how language authority works within the organisation. Some documents may have a designated controlling version, while others are jointly maintained. State the arrangement and the process for resolving a material translation difference. Do not leave employees to decide which wording prevails when the obligations diverge.

Review meaning at the level of decisions. Terms describing approval, consultation, prohibition and permission must preserve the same strength. A translation that changes “review before activation” into “review after use” creates a different control even when the surrounding paragraph sounds fluent.

Use bilingual walkthroughs with the staff who will apply the rule. Ask them to process a realistic intake, a supplier change and an exception. Record where different readers take different actions. Correct the document or procedure before relying on a completion acknowledgement as proof of understanding.

Maintain synchronized identifiers, version numbers and effective dates. If one language is temporarily unavailable, publish an explicit interim instruction through the authorised channel. An outdated translated attachment should not silently become the operating policy.

Assign maintenance through an evidence lifecycle

Every policy component needs an owner, review trigger and retirement method. Scheduled review is useful, but it should not be the only way a document changes. A new law, supplier feature, incident, business purpose or control failure can require an earlier review.

Maintain a trace from policy requirement to implementing standard, procedure, system configuration and evidence. This does not require an elaborate platform at the outset. It does require stable references and ownership that survive personnel changes. The AI inventory should link uses to the applicable versions.

When a standard changes, identify existing approvals that relied on the former version. Decide whether they remain valid, need a transition period or require an immediate restriction. Avoid retroactively describing old evidence as if it had been produced under the new rule.

Retire obsolete documents deliberately. Preserve them where needed to explain historical decisions, but remove them from active guidance. Search results, shared drives and onboarding materials should point staff to the current controlled version.

Translate a revised standard into local adoption

Publishing a new standard is only the beginning of implementation. Identify which business units rely on the previous requirement, which approved configurations are affected and which local documents refer to it. For the conversation-memory example, a revised retention standard may affect the feature's approval even though the enterprise policy and business purpose remain unchanged.

Give each affected unit an adoption record. It should name the former and new requirement, the relevant use cases, the owner checking the difference and the evidence needed to close it. An acknowledgement that a manager received an email is evidence of distribution, not evidence that the required setting or procedure changed. Use a completion state that distinguishes received, assessed, implemented and verified.

Agree transition conditions through the appropriate authority. Some changes may permit a defined implementation period; others may require restricting an affected feature immediately. Record the reason rather than assuming that all existing approvals are automatically grandfathered or automatically invalid. Where a unit needs additional time for a discretionary internal requirement, use the authorised exception process and keep the unresolved condition visible.

Check downstream references before closing the change. A translated quick guide, service-desk script or saved configuration instruction can continue to direct staff toward the old rule. Ask one local operator to perform the revised task using only the material normally available to them. If the operator follows an obsolete instruction, document distribution has not yet produced adoption.

Report adoption by affected dependency, not by the number of documents republished. The policy owner needs to know which uses still rely on superseded conditions and who owns the remaining work. This turns enterprise consistency into a maintained operating fact instead of an assumption made when the standard was approved.

Test the framework through decisions, not document counts

Before broad rollout, run representative cases through the complete hierarchy. Include a routine request, an embedded feature change, a disputed authority question, an exception and an incident. Ask each participant to identify the next action using the published documents.

Measure whether the cases reach an authorised, evidenced decision and whether the operating team can implement it. Record missing owners, contradictory instructions, repeated evidence requests and decisions that cannot be enforced. These are framework defects even when every required document exists.

Use governance metrics to track overdue decisions and unfulfilled conditions alongside throughput. A falling review time is not an improvement if teams are bypassing necessary checks. Review completed cases as well as stalled ones to identify both excessive friction and insufficient challenge.

For an AI governance setup engagement, prepare your existing policy hierarchy, delegations, inventory and several real decision histories. Discuss an enterprise AI policy framework with Open for AI to define a practical structure, control ownership and handover evidence. The resulting framework should make the next operational decision clearer and leave an accountable team able to maintain it.