AI readiness
A trustworthy assistant needs trustworthy master data
An AI assistant answering questions about your master data is only trustworthy if the data is. Before connecting a model to the database, what decides answer quality is what is already there: items described one way, duplication handled, attributes filled in.
What changes
What AI needs from your master data
One version per entity
A model that finds five versions of the same supplier answers with one of them, and you do not know which.
Attributes, not prose
A characteristic in a field can be filtered and compared. In free text, the AI interprets — and interpretation is where error enters.
Provenance of each value
An answer without provenance cannot be audited. Knowing which system each field came from is what allows checking.Talk to our specialists
Questions
Frequently asked questions
Next step
Talk to the people who implement it
The assessment measures how far your master data supports AI use today, and what is missing.