Master the customer's data
The problem is almost never the algorithm. It is the data.
Where it is, what it means, its quality, who can access it. In food & beverage: supplier spec sheets as PDFs, recipes in Excel, allergens in the quality manager's head, three spellings for the same ingredient.
Data before AI
Fundamental #6 of Forward Deployed Engineering: master the customer's data. Be comfortable with the business data model before even talking about AI.
One AI on clean data beats ten AIs on chaos. Without a reliable repository, the best models produce wrong answers with confidence.
Build the repository first
That is why crumble-ai's first mission with a customer is always the same: build the repository. The AI migrates the spec sheets (PDF, Excel, Word), matches ingredients into a single repository, traces every field — source, date, author.
The three spellings of one ingredient become a single entry; the allergen "in someone's head" becomes structured, verifiable data.
Traced data, lasting trust
Tracing every field — where it comes from, when, by whom — is not a luxury: it is what lets you defend a dossier at audit and trust automation.
Mastering the data is the foundation on which everything else — recommendations, controls, AI — can finally stand.
Is your portfolio ready?
See how crumble-ai continuously audits your recipes and blocks non-conformities at the source.
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