Enterprise AI
Enterprise AI is AI deployed inside a large organisation, integrated with systems of record, governed by enterprise risk and compliance, and accountable to multiple stakeholders.
What is Enterprise AI?
Enterprise AI differs from consumer AI on every operational axis: identity and access, data residency, audit logging, change management, procurement, vendor diligence, and contractual liability. The technical work is often the smaller half of the project; integration, governance, and rollout are the larger half. Enterprise AI is not a product category, it is a delivery mode.
How does Enterprise AI apply to enterprise AI?
Enterprise AI buyers care about the evidence pack as much as the demo. A working pilot without an audit trail will not pass procurement.
Related terms
- Custom AI - Custom AI is an AI system designed and built for a specific enterprise's data, workflows, and constraints, rather than a generic product configured by the buyer.
- Consulting AI - Consulting AI is the engagement model in which an external team provides AI strategy, design, build, and operate services to an enterprise client.
- AI Solutions Partner - An AI solutions partner is an external firm that designs, builds, and operates AI systems for an enterprise on a long-term partnership basis rather than a project basis.
- EU AI Act - The EU AI Act (Regulation (EU) 2024/1689) is the European Union's horizontal regulation for AI, classifying systems by risk and imposing obligations on providers, deployers, importers, and distributors.
External references
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