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Food contact material approval in the EU and US runs through fragmented, overlapping regulatory frameworks: EU 10/2011 and its national derogations, EFSA opinions, FDA Food Contact Notifications under 21 CFR 175-178, and an ever-growing list of NIAS that no single database fully tracks. Most delays in getting a new formulation, adhesive, coating, or packaging structure to market are not caused by the chemistry. They are caused by how long it takes a regulatory or technical team to research, cross-reference, and document compliance correctly the first time.
If your team is still losing weeks to manual EFSA and FDA cross-referencing, inconsistent Declarations of Compliance, or NIAS questions that stall a launch, this training gives you the system to fix that.
Rather than a tour of AI tools, expert will explain implementation systems that map directly onto the recurring work of an FCM compliance function: regulatory intelligence, supplier document review, migration and NIAS assessment, technical documentation, and customer-facing technical decision support, all built on a governance framework that defines what AI should never do and where human sign-off is non-negotiable. Each system comes with a corresponding Standard Operating Procedure participants can adapt and deploy immediately.
Why You Should Not Miss the Training
- Cut regulatory research time without losing defensibility
Use AI-assisted retrieval, cross-referencing, and verification workflows to compare EU/FDA requirements with confidence. - Qualify supplier documentation faster and catch gaps early
Review DoCs, technical data, and migration reports using a structured AI-assisted qualification workflow. - Run migration and NIAS assessments with a clear evidence trail
Apply AI-supported triage and investigation frameworks backed by documented evidence and expert review. - Produce technical documentation your reviewers can trust
Create controlled Declarations of Compliance and technical dossiers using AI-assisted drafting with built-in verification. - Respond to customer technical questionnaires with confidence
Generate accurate, consistent, and defensible responses using a structured Technical Decision Support workflow. - Implement AI with clear governance and expert oversight
Learn where AI should assist, where experts must intervene, and how every output gets verified. - Roll out AI across your compliance function
Deploy practical workflows using a phased implementation roadmap without disrupting existing systems.
What You Walk Away With
- Regulatory Intelligence SOP
Stop jumping between regulations and guidance documents. Build a complete compliance picture before making technical decisions. - Supplier Document Review SOP
Review supplier documents with a consistent process so missing information and weak evidence are identified much earlier. - Migration & NIAS Assessment SOP
Bring migration planning, NIAS evaluation, and supporting evidence into one structured review process. - Declaration of Compliance SOP
Prepare DoCs using a controlled review sequence that reduces omissions and improves consistency. - Customer Technical Response SOP
Respond to technical questions with greater confidence using information that is organised, verified, and easy to defend. - Regulatory Change Monitoring SOP
Track regulatory changes, identify affected products, and know exactly what requires follow-up. - Scientific Literature Review SOP
Collect, organise, and verify technical evidence without spending hours searching through scattered publications.
Who Should Attend
This training is highly recommended for:
Food contact material formulators
Packaging technologists
Regulatory affairs professionals
Food packaging R&D teams
Adhesive, coating, and polymer formulators
Compliance managers
Quality assurance professionals
Material scientists
Sustainability and packaging innovation teams
Flexible packaging professionals
Paper and plastic packaging manufacturers
Brand owners managing food packaging transitions
Professionals involved in migration testing and NIAS assessment
- Do I need any AI or coding experience to attend this training?
No. This training is built for regulatory, technical, and QA professionals. No coding or technical AI background is required. Everything is taught as a workflow you can run using everyday AI tools. - Will this training tell us which AI tool to buy?
No. The training teaches the workflow and governance framework, which works with most major AI assistants. The goal is a system your organization can apply regardless of which specific tool you license. - Can AI actually be trusted for regulatory compliance work?
Not without verification, and the training is explicit about this. A core part of the curriculum is exactly where AI output must be checked against primary sources and where a human expert must intervene before anything is used in a real submission. - Is this only relevant to EU compliance, or does it cover FDA too?
Both. The Regulatory Intelligence module is built specifically around cross-referencing EU 10/2011 and FDA 21 CFR 175-178 frameworks side by side, since most participants are managing dual-market compliance. - What is NIAS and why does it get its own focus in this training?
NIAS (Non-Intentionally Added Substances) are substances that appear in a food contact material without being deliberately added, often from impurities, breakdown products, or contamination. They are one of the most time-consuming and judgment-heavy parts of an FCM compliance dossier, which is why this training gives them a dedicated assessment workflow rather than folding them into general migration testing. - Do the SOPs work for both plastic and paper-based packaging?
Yes. The workflows are built around regulatory and documentation logic that applies across material types, including plastics, adhesives, coatings, and paper-based packaging. Material-specific considerations are addressed within each relevant module. - Will my team need to change our existing documentation systems to use these SOPs?
No. The SOPs are designed to slot into existing document control and quality systems as an added verification layer, not to replace your current QMS or DMS.
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Course Curriculum
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Training Outline
During this training, the following will be covered:
Where AI Becomes a Liability (And How to Govern It Before It Does)
Cross-Referencing EU and FDA Without the Blind Spots
Why manual cross-referencing misses dual-use conflicts
Building a regulatory context pack that catches gaps early
The Compliance Evidence Table
Challenging AI output like a junior analyst's
Catching What Supplier Declarations Don't Tell You
Spotting declarations that look complete but aren't
Flagging weak or unsupported claims early
Escalation triggers before launch deadlines
Making NIAS Judgment Calls You Can Actually Defend
The Migration Planning, NIAS Investigation Matrix, and Evidence Register
Testing vs. read-across/QSAR: making the call
The AI Challenge Prompt Chain
Controlling AI in Your Documentation
Why an AI-drafted DoC isn't release-ready
Where SME challenge has to happen
Version control that holds up under scrutiny
Answering Customer RFIs Fast Without Contradicting Yourself
Rolling This Out Without Stalling Your Team
Q&A Session To Clear Doubts
