AI Agent: Quality Inspection Standards Advisor
Leverage the Quality Inspection Standards Advisor AI agent to reference quality standards during inspection plan creation and retrieve relevant information for sampling, reporting, and manufacturing standards that are based on standards documents.
While defining an inspection plan, you can use the Quality Inspection Standards Advisor to answer questions about the provided sampling standards document(s) and help determine the appropriate sampling parameters for your inspection plan.
Examples of documents
-
ANSI Z1.4 Sample Methodology
-
ISO 13485 QMS Requirement for Med Device
-
ISO 2859 Sampling Procedures
-
ISO 9001 QMS Requirements
Examples of questions
-
What does AQL 2.5 mean in terms of defect tolerance?
-
If my inspection quantity is 100 units, what sample size and accept/reject limits apply at AQL 1.0?
-
Which sampling standard should I follow for sterile medical devices under ISO 13485?
-
Does ANSI Z1.4 allow skip-lot or reduced inspection based on prior results?
-
What is the difference between General Inspection Level II and S4?
The AI Agent Tool included in this agent is:
Name Inspection Standards Document Retriever
Description Fetches answers to questions from quality inspection standards documents.
Family SCM
Product Quality Inspection Management
The AI Agent Topic included in this agent is:
Name Quality Inspection Standards Advisor
Description The agent will enable quality engineers to easily get answers to their standards-related questions when defining an inspection plan.
Family SCM
Product Quality Inspection Management
- Enables users to query uploaded quality standards or guidelines using AI.
- Speeds up inspection plan creation through instant, document-based recommendations.
- Minimizes the need for extensive training and reliance on undocumented, experience-based knowledge.
- Saves time and reduces costs through streamlined, AI-assisted planning.
Steps to Enable
For information on using AI Agent Studio, see How do I use AI Agent Studio?
Tips And Considerations
- The AI Agent works best with documents that contain well-structured text. PDFs are recommended.
- Content within tables, images, or graphics may not be accurately interpreted. If an answer relies on information presented in such formats, it may be incomplete or inaccurate.
- Users are responsible for verifying the accuracy of AI-generated answers before applying changes to inspection plans.
- Always cross-check critical recommendations against the original source document
If you created any AI agents in the applications before update 25C, we recommend that you replace your existing agent with an agent you create in Oracle AI Agent Studio for Oracle Fusion Cloud Applications. You can migrate the document tool you created for your existing agent to AI Agent Studio. Here’s how:
- Go to My Client Groups > Show More > Configure AI Agents.
- Click the Tools tab, then click Migrate action for your tool.
- Enter a unique name and tool code, and select the relevant family and product for your agent. You’ll use the tool name to locate your tool in AI Agent Studio.
- Click OK.
After your tool is migrated, create a new agent in AI Agent Studio using the appropriate template, add your migrated tool, and publish your agent. Then, create a new guided journey and add an agent task of the type Workflow Agent for the new agent you just created in AI Agent Studio. Next, update the guided journeys with the new journey code where you’ve enabled your previous agent so that the journeys use the new agent. After you have tested and verified your new agent, you can use the Delete action in Configure AI Agents to remove the original agent.
Access Requirements
To access the Oracle AI Agent Studio for Fusion Applications and manage SCM AI agents, users must be assigned a configured job role that contains these duty roles:
- SCM Intelligent Agent Management Duty (ORA_RCS_SCM_AI_AGENT_MANAGEMENT_DUTY and ORA_RCS_SCM_AI_AGENT_MANAGEMENT_DUTY_HCM – both duty role codes are required)
- Fai Genai Agent SCM Administrator Duty (ORA_DR_FAI_GENERATIVE_AI_AGENT_SCM_ADMINISTRATOR_DUTY)
In the Security Console, filter by Roles and Privileges to find the SCM Intelligent Agent Management Duty role. Filter by Roles and Permission Groups to find the Fai Genai Agent SCM Administrator Duty role.
To interact with AI agents in product pages, users must be assigned a configured job role that contains this duty role:
- Fai Genai Agent Runtime Duty (ORA_DR_FAI_GENERATIVE_AI_AGENT_RUNTIME_DUTY)
In the Security Console, filter by Roles and Permission Groups to find this duty role.
To allow users to interact with agents, you must also enable permission groups in the Security Console on those users’ configured job roles that contain the Fai Genai Agent Runtime Duty role. You can enable permission groups when you manage the basic information of your configured job roles.
Users’ configured job roles must also contain privileges that allow access to the pages where AI agents are enabled.