AI in Food Safety

Using AI in Food Safety & Quality Management

A Comprehensive 6-Hour Workshop for Food Manufacturers & CPG Brands

COURSE OVERVIEW

Artificial intelligence is no longer a future technology — it is available right now, and food manufacturers and CPG brands who embrace it today will have a significant competitive advantage. But knowing where to start, which tools to use, and how to apply AI to real food safety and quality challenges is not straightforward.

This intensive 6-hour workshop cuts through the hype and delivers practical, hands-on guidance for QA Managers, Food Safety Directors, Plant Managers, and Operations leaders. Through real-world model examples, guided exercises, and live demonstrations, participants will leave with a working knowledge of how to use AI tools — including Claude and ChatGPT — across every major food safety and quality function.

This is not a lecture. Every section of the course includes a model prompt example and a hands-on exercise. Participants will use AI tools during class and leave with a personal prompt library they can apply immediately at their facility.

WHAT YOU WILL LEARN

Participants who complete this workshop will be able to:

Use AI tools to draft, revise, and improve SOPs, food safety plans, and policy documents in a fraction of the time
Build role-specific, multilingual employee training modules and competency tests using AI
Conduct AI-assisted traceback investigations using finished product records, ingredient COAs, EMP results, and CCP data
Use AI to accelerate food safety and regulatory research, including FSMA applicability analysis and FDA Warning Letter review
Analyze food safety culture surveys, trend internal audit nonconformances, and design team building exercises
Apply AI to plant operations data including OEE, yield loss, giveaway, rework, and root cause analysis
Build a personal AI prompt library and a 90-day action plan for implementing AI in your facility

WORKSHOP AGENDA

#	Session	Time
01	Introduction & AI Fundamentals	20 min
02	AI for Writing SOPs & Procedures	40 min
03	AI for Training Programs & Competency Tests	40 min
04	Analyzing QA & Food Safety Data	50 min
—	Break	15 min
05	Food Safety & Regulatory Research	40 min
06	Culture Surveys, Audits & Team Building	45 min
07	AI for Plant Operations & Performance	50 min
08	Getting Started + Q&A	20 min
	Total Workshop Duration	~6 Hours

WHO SHOULD ATTEND

This workshop is designed for food industry professionals who are responsible for food safety, quality assurance, and plant operations. It is ideal for:

QA Managers and Food Safety Directors
Plant Managers and Operations Managers
Regulatory Affairs and Compliance Professionals
Production Supervisors and Line Leaders
Supply Chain and Procurement Managers
Anyone responsible for food safety documentation, training, or data analysis

No prior AI experience is required. Participants should have a working knowledge of food safety and quality systems. Attendees are encouraged to bring a laptop or tablet to participate in the hands-on exercises.

WHAT MAKES THIS WORKSHOP DIFFERENT

Unlike general AI training courses, this workshop is built entirely around real food safety and quality challenges. Every section includes:

A model prompt example showing exactly how to get the best results from AI for that task
A hands-on exercise where participants apply AI tools to their own facility scenarios
Practical cautions and best practices specific to food safety regulatory requirements
References to FDA, USDA, GFSI, SQF, BRCGS, and FSSC 22000 standards throughout

Our instructor brings over 20 years of food industry experience to every session, ensuring that the AI applications covered are grounded in real-world regulatory requirements and operational realities — not just technology theory.

TOPICS COVERED

The workshop covers the following food safety and quality applications of AI:

SOPs & Procedure Writing

Drafting new SOPs, HACCP plans, allergen programs, and food safety policies
Revising and simplifying existing procedures for clarity and compliance
Performing gap analysis against FSMA, GFSI, and customer requirements
Translating documents for multilingual workforces

Training Programs & Competency Testing

Building role-specific training modules tailored to your facility and workforce
Generating scenario-based competency tests and answer keys
Developing job aids, quick references, and multilingual training materials

QA & Food Safety Data Analysis

Trending micro testing results for ingredients and finished products
Environmental monitoring program (EMP) analysis and harborage identification
Process deviation trending and CAPA effectiveness review
AI-assisted traceback investigations using COAs, EMP data, and CCP records

Regulatory Research & Compliance

FSMA applicability analysis for your facility and product types
FDA Warning Letter and import alert pattern analysis
Label compliance review and regulatory citation interpretation

Food Safety Culture, Audits & Team Building

Designing and analyzing food safety culture surveys
Trending internal audit nonconformances and identifying systemic issues
Developing tabletop exercises, scenario drills, and team building activities

Plant Operations & Performance (for Plant Managers)

OEE analysis — identifying and quantifying availability, performance, and quality losses
Yield loss, giveaway, and check-weigher data analysis
Rework, downgrade, and first-pass quality rate trending
AI-assisted root cause analysis using 5-Why, fishbone, and Is/Is Not frameworks
Tonnage, throughput, and production capacity analysis

PRIVATE & IN-HOUSE TRAINING

This workshop is available as a private, in-house training session delivered at your facility or virtually for your entire team. Private training allows the content and exercises to be fully customized to your facility type, your product categories, your certification standard, and your team's specific challenges.

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