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ManufacturingAI implementation case study
Manufacturing – Food & Beverage Co-Packer: Batch Recipe & Compliance AI
AI automation for recipe versioning, allergen checks, batch sheet generation, and COA document matching.
This case study documents a real client implementation. Identifying details may be withheld where confidentiality applies.
Key takeaway
PrimeAxiom automated recipe-to-floor compliance so AI agents governed what workers executed and what labs verified.
The engagement
From operational friction to a connected AI system
01 · Context
Business overview
Industry: food co-packing. Complexity: private-label SKUs, allergens.
02 · Challenge
Core problem
Email recipe drift, manual COA checks, audit scramble.
03 · Approach
Solution
PrimeAxiom built manufacturing compliance AI: structured recipe graph, AI diff alerts on changes, auto-generated HACCP-aligned batch instructions, and COA matching agents for incoming ingredients.
04 · Impact
Results
Wrong-batch incidents −83%; allergen review time −67%; COA mismatch catch +2.1x faster; audit prep −54% hours.
System design
The full automation system
The implementation connects triggers, AI decisions, business rules, human approvals, and downstream actions in one controlled workflow.
Recipe Graph Agent, Allergen Agent, Batch Sheet Agent, COA Agent.
Workflow
How the automation runs
1. Recipe change approved.
2. AI diffs ingredients.
3. Floor sheets updated.
4. Lot scans on intake.
5. COA match.
6. Release to production.
7. Traceability archive.
Intelligence layer
AI agents and decision logic
Version Agent, Safety Agent, Doc Match Agent.
Under the hood
Technical architecture
Graph DB for recipes, vision/PDF parsing, controlled LLM prompts.
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