Our AI Readiness Assessment shows where you stand – and what it takes to succeed with AI.
Identifies obstacles within systems, data, and organization
Works with any business system (SAP, Dynamics etc.)
Provides a clear scorecard and prioritized roadmap
AI Readiness Assessment helps you understand how ready your organization is to succeed with AI. We analyze architecture, data, and organizational capability – regardless of business system – and give you a clear picture of your current state with prioritized actions. A system-agnostic and effective way to increase AI- readiness.
The assessment covers system readiness, data maturity, and organizational capability – giving you a comprehensive view of both opportunities and risks. It's based on DAMA's knowledge areas and EDM Council's best practices to ensure industry-aligned insights and recommendations.
You get concrete insights and recommendations, not generic advice. A clear priority list to strengthen your AI maturity.
Creates alignment between technology and business – ensuring that AI doesn't get stuck as a technology issue but gains business relevance.
Many companies face similar challenges with their business systems. Here are some of the most common problems our clients tell us about:
Many organizations want to start with AI but lack a shared picture of where they stand today. This makes it difficult to know where to begin – or what's most critical for the business.
AI Readiness Assessment creates a shared picture of your AI maturity – in terms of systems, data, and people. You get facts to act on instead of assumptions and gut feelings.
AI projects often run in parallel without coordination, and efforts lack clear direction. Without priorities, you risk spending time on the wrong things – and getting tired before seeing results.
The result is a concrete scorecard and a recommended roadmap. It helps you choose the right way forward and focus on the efforts that will have the biggest impact first.
IT builds solutions that the business doesn't trust – or understand. The business has needs but can't articulate them in technical terms. The result is misunderstandings and low adoption.
The process builds bridges between business, IT, and data owners. It creates a common language for AI – which increases understanding, engagement, and practical benefits.
Data quality varies, responsibilities are unclear, and the same terms mean different things in different systems. This makes it difficult to build AI solutions that can be trusted and used in real-world situations.
We highlight strengths and weaknesses in your data foundation and governance. You gain insights on how to improve data quality, ownership, and concept definitions – crucial for AI.
We realize your data journey – with experience, methodology, and technology. This is how we drive growth for our customers.
Practical tips, inspiration, and insights from our experts – for those who want to stay ahead.
Get in touch with our team – we’re happy to help!
Whether you have a question, want to learn more about our solutions, or are simply curious how we can support your business – we’d love to hear from you.
