When is a company AI-ready?

AI readiness describes how well prepared a company is to use AI sensibly, securely, and economically. It is not a property of IT alone but cuts across business, data, and technology. The questions that matter are these: where does AI create measurable benefit, what data does it need and at what quality, and which architecture keeps that data under control?

In the BEIA enterprise assessment, AI readiness runs across business, data, and technology; in the BISA baseline assessment, it is one of the areas reviewed. That shows where a company stands today, before it invests in a platform.

The Decision Readiness Check covers the same four dimensions when the trigger is AI. In the Enterprise Variation Method, AI Readiness is one of the ten evaluation criteria, and in the Business Data Transformation Framework, it is assessed in the Understand phase.

AI readiness includes an AI policy: which applications are allowed, who approves them, how AI-generated content is labeled, and which obligations under the EU AI Act apply. Those obligations depend on the risk class of the application. A clear policy gives employees certainty instead of pushing them into shadow AI with blanket bans.

Transparency obligations under Article 50 have applied since August 2, 2026, for example for chatbots and AI-generated content. For high-risk AI systems under Annex III, such as recruitment or creditworthiness assessment, further obligations apply from December 2, 2027, and for systems under Annex I from August 2, 2028 (Regulation (EU) 2026/1744). Under Article 4, providers and deployers must also take measures to promote AI literacy among staff who work with AI.