> ## Documentation Index > Fetch the complete documentation index at: https://docs.adclear.ai/llms.txt > Use this file to discover all available pages before exploring further. # Self-Approval > Self-approval in line with compliance policies, managed and audited within Adclear. ## Overview Self-approval is available only to explicitly permitted users, on explicitly permitted promotions. It is not a blanket permission. Self-approval is not available by default. It is enabled per organisation under controlled rollout. Speak to your Adclear contact about whether it's the right fit for your team. Self-approval is designed for a narrow use case where an organisation has determined that certain users can approve their own uploaded promotions under controlled conditions. The uploader still has to actively click approve themselves: the approval is not automatic. This ensures we always keep some level of human validation, even if it's only one person. This page covers the operational mechanics of self-approval. For where self-approval sits alongside other features, see the Self-Approvals entry in the Features Guide. ## How it works All of the following conditions must be satisfied for a self-approval to proceed. Self-approval must be enabled at the organisation level. Without this, the workflow is unavailable to all users regardless of their individual permissions. The user must be explicitly marked as a self-approver. A standard uploader cannot access this workflow unless that permission has been specifically granted. The self-approver must also hold review permission for the relevant country or market. Self-approver status does not override jurisdiction restrictions. The Self Approval toggle must be enabled on the specific promotion. If it is not, the self-approver flow is unavailable for that promotion regardless of user permissions. The self-approver must be the uploader of that promotion. Self-approver permission cannot be used to review another user's promotion. AI review must have completed before self-approval can proceed. If AI evaluation is still running or has not started, the self-approver is blocked from reviewing. If AI review completes and there are unresolved AI comments, the self-approver cannot proceed until those comments have been responded to. See Helping Adclear Learn for guidance on responding to AI comments effectively. ## When self-approval is ineligible If a promotion is not eligible for self-approval (for example, the product or channel isn't configured for self-approval, or the AI evaluation has identified an issue that means it should not proceed without standard review), Adclear will surface a clear AI comment on the promotion stating that the promotion is ineligible for self-approval. In that case, the standard review workflow applies: the promotion goes to a reviewer rather than allowing the uploader to self-approve. ## Platform restrictions When the self-approver workflow is active, Adclear enforces the following hard restrictions. | Restriction | What it means | | ------------------------------------- | ------------------------------------------------------------------------ | | Self-approver role required | Only users explicitly configured as self-approvers can use this workflow | | Jurisdiction permission still applies | The self-approver must hold review permission for the relevant market | | Own uploads only | A self-approver can only review a promotion they uploaded themselves | | Restriction | What it means | | ------------------------------------- | ----------------------------------------------------------------------------------------------------------------- | | Self Approval toggle required | The toggle must be enabled on the specific promotion | | AI review must complete first | Self-approval is blocked until AI evaluation finishes | | Unresolved AI comments block approval | All AI comments must be responded to before proceeding | | Eligibility check | If the promotion is flagged as ineligible by Adclear, self-approval is blocked even when other conditions are met | ## Operational controls The following is a practical baseline. It is not prescriptive: teams should adapt it to their risk appetite, regulatory context, and operating model. Access to grant self-approver status and to enable promotion-level self-approval should sit with a restricted group, such as Compliance Admins or platform administration, rather than general users. A periodic review of cases where the uploader and reviewer are the same person provides a practical safeguard. This can be run as a saved report or export at a set cadence, covering both the self-approver path and the standard review path. Where uploader and reviewer match, confirm the case was expected under policy and appropriately authorised. Spot-checking approved content on an exception basis adds a further assurance layer. Record the control owner, review cadence, and the steps to follow if a case falls outside policy. This supports consistent governance and provides an audit trail. A simple saved report filtered by "uploader = reviewer" reviewed at a fixed interval, monthly or quarterly depending on volume, is often sufficient as a baseline control. ## Quick reference All self-approval conditions at a glance. | Condition | Requirement | | -------------------- | ------------------------------------------------------------- | | Organisation setting | Self-approval enabled at org level | | User permission | User explicitly marked as a self-approver | | Jurisdiction | Self-approver holds review permission for the relevant market | | Promotion setting | Self Approval toggle enabled on the specific promotion | | Uploader match | Self-approver must be the uploader of that promotion | | AI review | AI evaluation must have completed | | AI comments | All AI comments must be responded to | | Eligibility | Promotion is not flagged by Adclear as ineligible | ## Related pages Every Adclear feature in one place, including where self-approval sits as an add-on. Understand the different roles in Adclear and what each one can do. How to respond to AI comments effectively and train Adclear's agents. How Adclear turns your policies into the operational rules behind every decision. ## Still need help? Contact support at [support@adclear.ai](mailto:support@adclear.ai).