AI Readiness Assessment

Ready to unlock the power of AI? Let’s find out.

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

Structure before scale

AI Readiness Assessment for the entire organization

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.

Three customer benefits

1.

AI readiness from three perspectives

The assessment covers system readiness, data readiness, and people readiness – giving you a comprehensive grip on your opportunities and risks.

2.

Concrete and prioritized steps

You get concrete insights and recommendations, not generic advice. A clear priority list to strengthen your AI maturity.

3.

Shared understanding across the organization

Creates alignment between technology and business – ensuring that AI doesn't get stuck as a technology issue but gains business relevance.

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Common challenges – and how we solve them

Many companies face similar challenges with their business systems. Here are some of the most common problems our clients tell us about:

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Unclear current state of AI capability

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.

Clear current state analysis

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.

Hard-to-prioritize initiatives

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.

Prioritized action plan

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 and business in different worlds

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.

Better IT-business collaboration

The process builds bridges between business, IT, and data owners. It creates a common language for AI – which increases understanding, engagement, and practical benefits.

Weak governance around data and responsibility

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.

Structure and responsibility for data

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.

Case

We realize your data journey – with experience, methodology, and technology. This is how we drive growth for our customers.

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With extensive experience and a strong commitment, Susanne helps you find the right solutions for your specific business challenges. She is happy to guide you through the process and answer all your questions.

Contact Susanne directly or fill out the form, and she will get back to you as soon as possible!