Know if your AI use case is ready to implement or scale

An AI Readiness Assessment shows whether your organisation is ready to implement and scale a specific AI use case. It assesses the business case, data quality, data availability, accessibility, governance, ownership, privacy and compliance. The result is a practical overview of the main risks and the improvements needed before moving forward.

The assessment evaluates six areas: business case, data quality, data availability and representativeness, accessibility and structure, governance and ownership, and privacy and compliance. Together, these areas show whether the selected AI use case is realistic, usable and scalable.

Yes, preferably. The assessment works best when there is a clear business problem and a specific AI use case, such as an AI chatbot, copilot or automated document processing. If that is not yet defined, we can also help explore where AI could add value, although that is a broader question than the AI Readiness Assessment itself.

You receive a practical report with:

• a traffic-light assessment across the six readiness areas;
• the main risks and bottlenecks;
• a concrete set of prioritised improvements;
• an indication of expected impact and effort;
• a practical roadmap with next steps.

This gives you a clear basis for deciding whether to move forward with the AI use case, where to invest first and which risks to address before implementation. It can help reduce avoidable delays, rework and unnecessary investment.

An AI Readiness Assessment is less relevant if you do not yet have a concrete AI goal or business problem. In that case, it makes more sense to first explore where AI could create value, for example with our AI Opportunity Scan. It may also be unnecessary if the required data, governance, systems and privacy conditions have already been thoroughly validated and you are ready to move directly into implementation.

Yes. For the assessment, we need access to relevant data systems and data sources. In addition to stakeholder interviews and documentation, we also review samples of the actual data. This allows us to assess not only how processes and data are organised on paper, but also how usable the data is in practice.

AI readiness is not just a technical question. It requires a combination of business understanding, data expertise, AI knowledge, governance and privacy.

Digital Power brings these disciplines together in one assessment. We combine stakeholder input with hands-on analysis of the actual data and translate the findings into practical priorities and next steps. The result is not a lengthy consultancy report, but a clear basis for deciding how to move forward with your AI use case.