> ## Documentation Index > Fetch the complete documentation index at: https://docs.enneo.ai/llms.txt > Use this file to discover all available pages before exploring further. # Re-run AI processing for a quality assessment > Re-runs the AI processing of an existing assessment, regenerating AI-scored criteria and the AI summary. By default, the assessment is upgraded to the latest active scorecard revision (resolved by `baseId`). To pin processing to a specific revision, pass `scorecardId` in the request body — it must belong to the same scorecard family (same `baseId`) as the assessment's current revision. The user must have permission to edit this assessment. Cannot be called when the assessment is in `discussedWithAssessee` or `reviewedBySupervisor` state. ## OpenAPI ````yaml https://dev.enneo.dev/api/mind/docs/open-api post /quality/assessment/{id}/refresh openapi: 3.0.0 info: version: '1' title: enneo.MIND API description: This describes the API of enneo Mind, the main ticketing backend contact: name: enneo GmbH email: richard@enneo.ai license: name: Proprietary software url: https://enneo.ai servers: - url: https://demo.enneo.ai/api/mind description: Production server, demo client - url: https://main.enneo.dev/api/mind description: Development main branch - url: http://localhost:8005/api/mind description: Local development server security: - bearerAuth: - api - cookieAuth: - api paths: /quality/assessment/{id}/refresh: post: tags: - Quality Management summary: Re-run AI processing for a quality assessment description: > Re-runs the AI processing of an existing assessment, regenerating AI-scored criteria and the AI summary. By default, the assessment is upgraded to the latest active scorecard revision (resolved by `baseId`). To pin processing to a specific revision, pass `scorecardId` in the request body — it must belong to the same scorecard family (same `baseId`) as the assessment's current revision. The user must have permission to edit this assessment. Cannot be called when the assessment is in `discussedWithAssessee` or `reviewedBySupervisor` state. operationId: refreshQualityAssessment parameters: - name: id in: path required: true description: Assessment ID schema: type: integer requestBody: required: false content: application/json: schema: type: object properties: scorecardId: type: integer description: > Optional. Specific scorecard revision id to use for processing. Must share the same `baseId` as the assessment's current scorecard. If omitted, the latest active revision is used. example: scorecardId: 42 responses: '200': description: Assessment re-processed successfully content: application/json: schema: $ref: '#/components/schemas/QualityAssessment' '400': description: >- Assessment is in a state that does not allow re-running AI processing, or the requested scorecard revision belongs to a different scorecard '403': description: Unauthorized (no permission to edit this assessment) '404': description: Assessment not found '500': description: Internal error components: schemas: QualityAssessment: type: object description: Quality assessment of agent performance on a specific work session properties: id: type: integer description: Assessment ID example: 1 scorecardId: type: integer description: ID of the scorecard used example: 1 scorecardBaseId: type: integer description: Base ID of the scorecard used example: 1 state: type: string enum: - unprocessed - aiInProgress - aiReady - reviewOngoing - reviewedBySupervisor - discussedWithAssessee - error - deleted description: Assessment workflow state example: aiReady assessedUser: type: integer description: ID of the assessed user (agent) example: 42 assessedByUser: type: integer nullable: true description: ID of the supervisor who assessed ticketId: type: integer description: Related ticket ID example: 12345 worklogId: type: integer nullable: true description: Related worklog ID aiSummary: type: string description: AI-generated summary (summary format) example: Good job overall, scored 85% totals: type: object description: Score totals properties: scoredPoints: type: integer description: Points achieved example: 24 usedMaxPoints: type: integer description: Maximum points for scored criteria example: 32 totalMaxPoints: type: integer description: Maximum points for all criteria example: 47 percentage: type: number description: Percentage score example: 75 data: type: object description: Full assessment data (full format only) properties: aiSummary: type: string general: type: object description: Work session metadata additionalProperties: true aiUsage: type: object description: AI automation metrics additionalProperties: true time: type: object description: Time tracking information additionalProperties: true customerExperience: type: object description: Customer satisfaction metrics additionalProperties: true categories: type: array description: Scored categories and criteria items: type: object additionalProperties: true totals: type: object additionalProperties: true supervisorAssessment: type: string nullable: true assessmentDate: type: string format: date-time nullable: true discussionDate: type: string format: date-time nullable: true createdAt: type: string format: date-time modifiedAt: type: string format: date-time canEdit: type: boolean description: Whether current user can edit this assessment securitySchemes: bearerAuth: type: http scheme: bearer bearerFormat: JWT description: JWT-based authentication x-scopes: api: Full access to the API cookieAuth: type: apiKey in: cookie name: connect.sid description: Cookie-based authentication x-scopes: api: Full access to the API ````