Owning Systems:
How to Execute
This track is for practitioners who already understand GxP basics and want to go deeper into execution: how to design controls, run validations, review audit trails, and build programs that hold up under scrutiny.
Fourteen steps, in the order they bite.
Not a syllabus to admire, a path to walk. Each step is one execution problem you will actually own, paired with the record that explains how to get it right the first time.
- Data Integrity 01
- CSV & CSA 02
- Equipment Qualification 03
- Quality Assurance 04
- Manufacturing Systems 05
- Audits & Inspection 06
- AI & Automation 07
- 01Data Integrity
The data lifecycle in practice
Every GxP system generates data that moves through a lifecycle: creation, processing, review, reporting, retention, and archival. Understanding this lifecycle, and the integrity requirements at each stage, is the foundation of any practical DI program.
- 02Data Integrity
Audit trail design and review
Audit trail requirements are cited in nearly every data integrity warning letter. But what should an audit trail actually capture, and how do you review it efficiently without drowning in volume? This covers both the technical configuration and the review process.
- 03CSV & CSA
21 CFR Part 11 and EU Annex 11
The core regulatory requirements for electronic records and electronic signatures. What each requirement means in practical terms, how the US and EU frameworks differ, and the common misconfiguration patterns that drive findings.
- 04CSV & CSA
What validation deliverables actually are
Most validation practitioners can name the documents in a validation package; fewer can explain what purpose each serves and how they relate to each other. This is the reference that explains the "why" behind each deliverable.
- 05Equipment Qualification
Equipment qualification: DQ through PQ
Walking through the qualification lifecycle for a real GxP instrument, what each phase proves, what documentation is required, and what the common failure points look like.
- 06Quality Assurance
Quality risk management in practice
ICH Q9(R1) provides the framework; FMEA, HACCP, and risk ranking give you the tools. This covers how to apply risk management to DI and validation programs rather than treating it as a theoretical exercise.
- 07Manufacturing Systems
MES, SCADA, and the shop floor
Manufacturing automation systems, MES, EBR, SCADA, historians, generate enormous volumes of GxP data with specific audit trail and Part 11 challenges that QC lab-focused programs frequently miss.
- 08Audits & Inspection
FDA inspection readiness
Inspection readiness is not about preparing for an inspection, it is about maintaining a state of control that would withstand one at any time. This covers what that actually requires, how to assess readiness, and what the logistics of an FDA inspection look like.
- 09Quality Assurance
OOS investigations and laboratory data quality
Out-of-specification investigations are one of the most regulated activities in pharmaceutical QC. Phase 1 and Phase 2 investigation logic, assignable cause determination, and what FDA inspectors examine.
- 10CSV & CSA
CSV risk assessment: scoping validations correctly
Risk-based validation is the expectation, not an option. FMEA, criticality scoring, GAMP 5 software categories, and how risk assessment drives testing scope and use of vendor documentation.
- 11Quality Assurance
Supplier and vendor qualification
Every material, service, and software system has a supplier. Approved vendor lists, qualification tiers, audit programs, quality agreements, and what software vendor qualification requires.
- 12CSV & CSA
Change control and revalidation triggers
Changes to validated systems require documented impact assessment and, in many cases, revalidation. What constitutes a change, how to categorize it, and how to determine testing scope.
- 13Data Integrity
Training programs that actually change behavior
GxP training is a regulatory requirement. But making it effective, not just documented, requires understanding what makes people follow procedures, and what makes them work around them.
- 14AI & Automation
AI tools in GxP, what works and what doesn't
An honest assessment of where AI genuinely helps in compliance workflows, what the validation requirements are, and how to design AI tooling that holds up under a GxP audit.
