--- title: Create an intelligent approval description: Generate an intelligent approval from an existing policy document. locale: en-US canonical_url: https://www.servicenow.com/docs/r/build-workflows/create-an-intelligent-approval.html release: brazil topic_type: task last_updated: "2026-10-19" reading_time_minutes: 4 keywords: [intelligent approvals, create approval policy, upload policy document, AI approval, publish policy] breadcrumb: [Build intelligent approvals, Intelligent approvals, Build workflows] --- # Create an intelligent approval Generate an intelligent approval from an existing policy document. ## Before you begin Role required: sn\_iap.policy\_manager or sn\_iap.policy\_admin ## Procedure 1. Navigate to **All** > **Intelligent Approvals** > **Intelligent Approvals Home**. \[Omitted image "intelligent-approval-create-01.png"\] Alt text: Intelligent approval homepage 2. Select **Create new**. 3. Select the existing policy document that you want to upload. \[Omitted image "intelligent-approval-create-02.png"\] Alt text: Create intelligent approval dialog to upload document The policy document must be in a PDF format, and the file size must be 10 MB or less. 4. Verify the name of your source policy document, and select **Create intelligent approval**. \[Omitted image "intelligent-approval-create-03.png"\] Alt text: Create intelligent approval dialog to create from document The system analyzes your policy document to determine what records the policy applies to, what conditions start the approval process, and the approvals conditions to apply. \[Omitted image "intelligent-approval-create-04.png"\] Alt text: Sample analysis of policy document 5. Review the intelligent approvals scope and trigger conditions. \[Omitted image "intelligent-approval-create-05.png"\] Alt text: Choose scope and coverage dialog box The system displays a **Suggested options** tab with a text description of the record types that the intelligent approval applies to and the approval start conditions. **Important:** Review the AI-generated trigger conditions carefully, as outputs may be inaccurate or incomplete. Select **Edit** to override the table name and field conditions of the **Suggested options** scope and start conditions. Select the table, fields, and field values that you want to use to start this intelligent approval. Alternatively, you can select **Define my own** to enter a text description of the table and field conditions that you want to use, and AI will convert your text into a new set of suggested approval conditions. \[Omitted image "intelligent-approval-create-05-0A.png"\] Alt text: Define my own text box option with the tooltip, "Describe in your own words what kind of requests you want to apply this intelligent approval to." 6. Select either the **Suggested options** or **Define my own** descriptive text, and then select **Next**. \[Omitted image "intelligent-approval-create-05.png"\] Alt text: Sample Suggested options descriptive text for a Change Request policy The system reviews your policy document and generates the intelligent approval. The generation process may take a moment to complete. \[Omitted image "intelligent-approval-create-07.png"\] Alt text: Intelligent approval generation status messages If the system fails to generate intelligent approvals, verify that you have access permissions to both intelligent approvals and the system records that you want approved. For requirements, see [Configure intelligent approvals](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/build-workflows/configure-intelligent-approvals.md). 7. Review the **Overview** and **Test results** tabs of your intelligent approval policy. \[Omitted image "intelligent-approval-create-09.png"\] Alt text: Intelligent approval Overview tab displaying a 85% rate of test approvals that can be automated A high percentage of **AI approved/rejected** results indicates that the policy document provides clear, consistent criteria for the system to evaluate. A high percentage of **Can't decide** results indicates that the policy document needs improvement. **Important:** AI-generated approvals and rejections may be inaccurate or inappropriate. Review the approval results before publishing the policy. 8. Review the **Interpreted policy areas**, **Source document**, **Test results**, and **Suggested improvements** tabs. \[Omitted image "intelligent-approval-create-09-0D.png"\] Alt text: Sample suggested improvements document |Tab|Description| |---|-----------| |Overview|This tab describes how the intelligent approval was generated and its expected automation rate.| |Interpreted policy areas|This tab describes the table and fields used to trigger the intelligent approval. It also lists when human review is needed.| |Source document|This tab shows a read-only copy of the PDF source document.| |Test results|This tab shows the test cases that were generated and run, the decision that the AI made, and the reasoning the AI used to make the decision.| |Suggested improvements|This tab shows a list of items that you can add, edit, or remove from your policy source document to potentially improve the automation rate.| 9. From the PDF document viewer toolbar, select **Download** to save a PDF copy of the suggestions. \[Omitted image "intelligent-approval-create-09-0E.png"\] Alt text: Option to download suggested improvements document 10. Use the suggested improvements to update the approval source policy document. Make edits to the source policy document outside your instance using an appropriate document editor application. **Important:** AI-generated suggestions may be inaccurate or inappropriate. Review the suggestions before changing the policy. 11. Upload the updated policy document, and review the percentage of **AI approved/rejected** results. For instructions on uploading a new source document, see [Update source document](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/build-workflows/update-source-document.md). 12. Select the three-dot menu, and select **Potential overlapping approvals**. \[Omitted image "intelligent-approval-create-10.png"\] Alt text: Check for potential overlapping approvals \[Omitted image "intelligent-approval-create-10-0A.png"\] Alt text: Empty list of potential overlapping intelligent approvals The system reviews your existing intelligent approvals to identify any potential approval conflicts. You can resolve overlapping intelligent approvals by one of these methods. - You can leave your new intelligent approval in the draft state and update the existing intelligent approval to include the scope and coverage of your new intelligent approval. Choose this method when you want your existing intelligent approval to replace your new intelligent approval. - You can deactivate the existing intelligent approval. Choose this method when you want your new intelligent approval to replace your existing intelligent approval. 13. When the percentage of **AI approved/rejected** results meets your requirements, select **Publish**. \[Omitted image "intelligent-approval-create-11.png"\] Alt text: Successfully Published banner message ## Result \[Omitted image "intelligent-approval-create-12.png"\] Alt text: Intelligent approvals homepage with the Change Request Policy card showing an active status The intelligent approval policy is published and activated for all incoming requests that match the configured trigger conditions. The system evaluates matching requests as they are created and automatically approves or rejects requests that clearly meet the policy criteria. Requests that the system can't evaluate remain open for human reviewers to approve. If intelligent approvals don't start when expected, verify the intelligent approvals start conditions. Use the **Edit** option to update the table and field conditions. If too many intelligent approvals result in a **Can't decide** decision, review and update your policy document. Load your updated policy and use the suggested improvements to raise the percentage of **AI approved/rejected** results. **Note:** If your policy requires manual review and approval from humans, the percentage of **Can't decide** approvals will remain high. Intelligent approvals can't automate approval processes that require human review and approval.