AI Strategy and Readiness

How do I start on my AI journey? What are my peers doing? What technology is available and what are they?We're here to help define your company's AI strategy and get your business and team AI-ready.

Your AI powerhouse framework

Becoming an AI powerhouse isn't primarily about maximizing the use of AI. It's about integrating it strategically to strengthen your organization's capabilities.​ Whether you're just beginning, aiming to stay ahead, or have a specific use case in mind, there are several approaches you can take. And our expert consultants are here to help you on your way.

The approaches explained

Any of the following can be your starting or acceleration point. All approaches ultimately come together to form your AI powerhouse. Defining your AI strategy AI implementation should align with your organization's overall strategy, ensuring your AI initiatives contribute to broader goals.​ A strategy serves as a comprehensive guide, overarching various aspects of your project. This provides clarity, ensures resource efficiency, minimizes risks and promotes sustainable value creation.  Your specific use case for AI Business capabilities can be improved tremendously through the use of AI. Prime examples are customer service and internal processes and workflows. AI-supported capabilities can be applied across multiple domains such as products and production. This systematic approach ensures that AI implementation is targeted and meaningful, enhancing areas where it can deliver the most value. Becoming AI-ready Assess whether your organization is AI-ready, focusing on existing resources and capabilities. AI-readiness hinges on an organization's ability to use artificial intelligence successfully and effectively. Central to this preparedness is the pivotal role of data — its quality, accessibility, and strategic use form the foundation for optimal AI integration, ensuring the organization is primed for success in the AI landscape.

The foundational elements of becoming AI-ready

AI Culture & Governance

When a company uses AI, it involves people interacting with it. People often have mixed feelings about new technologies, either thinking too highly or too little of them, and they tend to avoid things they don't get. So, organizations should build a culture that welcomes AI but also knows its limits, using it smartly as a tool. Just because you have a hammer doesn't mean everything is a nail! Employees should be taught how to use AI properly for specific jobs and in a safe way. It's important to have rules in place (AI governance) to guide if problems come up because of decisions made by AI.

Data & Content

For AI to work well, it needs good data. If the data isn't good, even the smartest AI won't be useful. Also, AI can't do much if there's nothing to analyze or if the information isn't in a form it can understand. So, companies should think of data as a valuable resource, just like oil, because it creates value.

Technologies

What kinds of AI technologies are out there? About 70% of them now have fancy labels like "powered by AI" or "AI inside." Companies should know how the technologies they want to use work, especially for important tasks, and keep an eye on how these technologies are improving. Connecting AI technologies to a company's current systems might mean creating new ways for them to communicate.

Processes

Processes should be designed to leverage AI effectively, particularly in routine tasks that heavily rely on digital data. The goal is to strategically integrate AI where it can enhance efficiency in everyday tasks that require substantial information processing.

Legal & Compliance

Incorporating AI may face external challenges if specific laws restrict its usage. Organizations need to be aware of and familiar with legal obligations and comprehend the technologies they employ, evaluating whether there might be compliance concerns. It involves navigating the legal landscape to ensure that the integration of AI aligns with established regulations and minimizes any potential legal risks.