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Glossary

What is enterprise AI?

Enterprise AI is AI used inside an organisation, where identity, data handling and who is accountable are requirements rather than afterthoughts.

Updated 21 Aug 2026

01

Where this one gets misread

Enterprise usually describes the buyer rather than any property of the system. Identity, data handling and accountability are the requirements the word ought to imply. Check them one at a time, because the label guarantees none of them.

02

Questions to ask

Ask for a worked example on your own material, and the evidence needed to reproduce it.

  • How does it use your identity system?
  • Where does data go, and who holds it?
  • Who is accountable when it is wrong?
  • What does the audit trail actually record?
03

How Marella uses the term

We use “Enterprise AI” only where a product mechanism or an evaluation method backs it up, and we say when the behaviour depends on how a deployment is configured.

  • Backed by a product mechanism or an evaluation method
  • Deployment differences flagged

What this page does not prove

  1. B1A definition is not a claim about how the product performs.
  2. B2Vendor implementations vary.
  3. B3Test the term against a representative workflow.

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