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. Most organizations either avoid AI in regulatory work entirely, out of justified concern about hallucinated citations and unverifiable outputs, or use it informally with no governance, no audit trail, and no consistency across team members. Both approaches leave speed on the table. This training is built around a third path: AI used inside a controlled, human-verified workflow, with defined checkpoints for where AI assists and where an expert must intervene.
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.
What Problems This Training Solves
Unexpected compliance restrictions when the same packaging material enters different EU and US markets.
Misleading food-contact claims that overlook temperature, contact time, food type, or intended-use limitations.
Hidden compliance risks across multilayer packaging, adhesives, coatings, inks, and polymer components.
Supplier formulation changes that invalidate previously accepted compliance assumptions without triggering reassessment.
Uncertain regulatory status of recycled materials, alternative additives, and newly developed packaging structures.
Costly launch delays caused by unresolved compliance questions discovered after commercial commitments.
Inconsistent compliance decisions when technical teams rely on assumptions rather than traceable regulatory evidence.
False confidence in AI-generated conclusions based on outdated regulations, incomplete context, or unsupported interpretations.
Why Attend?
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.
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
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
