Most companies in the world are being influenced by digital intelligence, whether it is at the algorithm level or more advanced artificial intelligence. Our AI Maturity/Readiness Assessment is, to our knowledge, the most comprehensive AI maturity analysis on the market and the only one oriented towards becoming a generative company.

It is an exercise that requires management to set aside 1-2 hours for interviews and 2-3 hours for comprehensive feedback and action plan suggestions. The result is a unique insight that provides a solid breeding ground for future AI investments.

The analysis is based on best practice in 9 strategic areas and 3 operational areas, which together give a clear picture of how far the company is in the different areas, on the way to becoming a “Generative Enterprise”.

Through interviews with top management, e.g. CEO, CFO and possibly. CTO, we identify strengths and opportunities in all related areas. We gather knowledge in an analysis that is both action-oriented and strategic. This provides a quick overview and creates a concrete action plan for the next step towards even more AI readiness and more Return on Intelligence. The report includes:
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• A report with detailed analysis of the maturity level across the key AI parameters. Typically on 14-16 pages.
• Incl. Executive Summary with clear recommendations and priority areas of action.
• Evt. Workshop and sparring to ensure understanding and ownership of the results.

Our experienced consultants combine deep technological insight with strategic understanding, ensuring your AI journey is rooted in both technology and business needs. Whether you are in the start-up phase or already have AI initiatives underway, we tailor our analysis to your unique situation.

Are you ready to take the temperature of your company's AI readiness? Contact us today for a non-binding discussion.

AI only creates value when it is applied to the right places in the business. Spintype Use Case Workshop helps your organization identify, prioritize, and plan AI initiatives that deliver the greatest business value — quickly and efficiently.

The purpose of the workshop is to map potential AI use cases for your company with Spintype Generative Enterprise. During the workshop, we place potential initiatives in a value matrix based on effort and expected value.

Here we will typically uncover two specific areas:
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• Quick Wins — Low-hanging fruits that can be quickly deployed and create results.
• Adjustments and incremental changes — Small improvements with low effort and moderate value.

The workshop may also include other areas such as :
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• Big Bets — Larger projects with high value but requiring more resources and time.
• Time Bandits — Projects that require a lot of effort but offer limited value.

The workshop includes:
• Identifying AI potentials in your organization across departments and processes.
• Categorization and prioritization of AI-use cases in the value matrix.
• Hands-on sparring with our AI experts, and specific concrete use scenarios for your company. Of course, we use Spintype Generative Enteprise.
• Presentation of the roadmap for the implementation of quick wins and planning of major initiatives.

After the workshop you will receive:
• An action-oriented short report with identified AI use cases and a prioritization matrix.
• An overview with suggestions for next steps and recommendations.

We bring hands-on experience and insights into the latest AI tools to the table, ensuring that the workshop is not just about ideas — but also about creating real business value.

‍Are you ready to identify and realize the potential of AI in your business? Contact us to book a Spintype Generative Enterprise Use Case Workshop and begin your AI transformation today.

The AI journey requires patience, strategic insight and gradual investment — and it takes a mindset to dare and want to experiment. In Jesper Bove-Nielsen's book AI Strategy - Digital Intelligence Turnbook, the “Strategic Option” model is used as the starting point for a long-term approach to business investment in AI. The option model was originally developed by Graham R. Mitchell and William F. Hamilton in the article “Managing R&D as a Strategic Option.”

Dramatic technological changes, such as AI often involves uncertainties, especially in the early stages. By dividing the process into three phases, we can reduce risk and gradually increase investment as uncertainty lessens and potential becomes clearer.
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The three phases:
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‍1. Experience building
• Identifying AI potential through small experiments
• Focus on fast learnings and low investment
• Assessment of technological readiness and organizational adaptation

‍2. Strategic positioning
• Development of pilot projects with low to moderate investment
• Adjustment and improvement of existing AI initiatives

‍3. Business Development
• AI becomes part of the business model and creates new growth opportunities
• Greater investment in proprietary AI solutions and data-driven innovation
• Focus on automation and continuous optimization

• Reduced risk — Start small and build experience along the way
• Quick gain — Identify and implement quick wins in the early stages
• Continuous learning — Ongoing feedback and adjustment ensures optimal development
• Increased ROI — Maximizes ROI by matching AI projects with business needs

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Take us on the journey — together with your technology partner or agency.
Interested in hearing more? Read the AI strategy book or contact us to learn more about why the options approach is interesting for creating lasting change and competitive advantage. Take your agency or client under your arm. We love working with others who are passionate about making a difference.