Agentic AI Systems – Knowledge, Data Integrity, and Grounding (A300)

Description

Agentic AI Systems – Knowledge, Data Integrity, and Grounding (A300) Module 3 of 5

AI – Artificial Intelligence
GMP = Good Manufacturing Practice 

Course Description

Module 3 explores why “AI system(s) knowledge” is a regulated input for an Agentic AI system in a GMP-regulated environment. This module will help you learn how to describe and defend how an Agentic AI system’s knowledge inputs remain current, controlled, and reconstructable over time. These are critical GMP concepts related to risk management, data integrity compliance, and decision-making outputs.

Agentic AI Systems – Knowledge, Data Integrity, and Grounding (A300)

This is Module 3 in the 5 part series and cover crucial design and compliance topics for grounding Agentic AI systems in current, validated, authorised information sources (knowledge sources).

How Module 3 fits into the 5-Module training series :

• Module 1 establishes a foundation for understanding Agentic AI systems, including key concepts for defining, classifying, and governing these systems, and understanding system-specific behavioural risk in a GMP environment.
• Module 2 establishes how goals, constraints, decision boundaries, reasoning models, task decomposition, and controlled autonomy are important risk-management considerations for Agentic AI system designs.
• Module 3 applies the same quality-system logic to system knowledge, helping you define what your Agentic AI system may know in terms of approved information sources, what it must not use, when it must stop, and what evidence must be retained.

Benefits of Completing Module 3

Module 3 (Agentic AI Systems – Knowledge, Data Integrity, and Grounding) in the online training series covering Agentic AI Systems in GMP-Regulated Environments aims to help you move from a ‘safe agent design perspective’ to a ‘safe agent knowledge use’ perspective (approved and traceable inputs). This module explains how to control what an Agentic AI system can use as information, how that information is supported by reliable sources, and how to keep it current, authorised, and traceable over time.

Topics covered in this module include:

• Agentic AI Systems – Knowledge Sources
• How agents use (and misuse) knowledge
• Designing knowledge-grounded Agents (Retrieval-Augmented Generation concepts)
• Data integrity concepts for Agentic AI Systems
• Data currency concepts
• Governance concepts for GMP compliance for source traceability (citations)
• The importance of ensuring source control

Who can benefit from Module 3:

• Quality Management Teams and other GMP industry personnel
• System and Process Owners
• GMP Compliance Team Professionals including documentation experts
• IT, Automation and Computerised Systems Professionals
• Agentic AI System Developers and System Testing Personnel
• Validation, Qualification and CSV professionals
• GMP Industry Engineers and Technical personnel
• Manufacturing, Operations and Laboratory personnel
• Managers, business owners and sponsors responsible for GMP/GxP activities
• Suppliers, Contractors, and service providers supporting regulated operations
• Regulatory Authorities, Regulatory Compliance personnel and Auditors/Inspectors