Step-by-step: AI in digital strategy

Where do you start as an organization? The 5 steps

AI
Strategy

28.11.2025

author
Reinoud Wolff
Chief Commercial Officer

AI is everywhere. Yet, the majority of organizations are still completely stumped. They know: we need to do something with AI for business, but where to start? The temptation is great to immediately purchase the newest, shiniest tool. But that is exactly where things go wrong. The real problem is not the lack of tools, but the lack of strategy. Our premise is clear: AI is not an end in itself, but a means to work smarter and more efficiently on your digital growth.

The biggest mistake is thinking that AI is a project. It is a mindset that your organization must embrace step by step. As an experienced guide in digital strategy, we help organizations like yours set direction. Let's untangle the chaos and start strategically.

Step 1: Start with Your Goals, Not the Tools

Ask yourself: What do you want to achieve? AI should be a lever for existing business goals such as:

  • Work more efficiently: Automating time-consuming tasks.
  • Better customer experience: Sending the right message at the right time.
  • Faster decision-making: Discovering hidden patterns in data.

Focus on Value: The AI Business Model Canvas
To determine the impact of AI on the core of your business model, we use the AI Business Model Canvas. It forces you to look at how AI creates new value for the customer (external) and not just how it improves processes (internal). This is essential for a successful AI strategy.

Step 2: Get Your Data in Order

We cannot say it often enough: AI is only as smart as the data you feed it. Many organizations are still stuck in data silos – separate systems (CRM, Email, Analytics) that do not communicate with each other. This is the biggest bottleneck for a successful AI strategy. If your data is messy, incomplete, or fragmented, the AI will produce stupid or unusable results. That is not a failure of the AI, but a failure of the data organization.

💡 Tip from the expert:

Start with one data source that is essential for your goal (for example, your CRM). Ensure that this source is clean, consistent, and usable. We help organizations with web platforms that make data from various sources transparent and insightful.

Step 3: Start Small, Measure, and Learn (The AI Experiment)

You don't have to immediately turn the entire organization upside down. Choose one specific process or experiment where the potential impact can be high, but the risks are low. Examples of low-threshold AI experiments include:

  • AI in email segmentation.
  • Smart chat assistance.
  • More relevant internal search functions.

Measure the effect, evaluate, and only scale up upon proven success. In this way, the AI strategy grows along with the maturity of your organization.

Step 4: Engage Your Team

Technology is only one part of the puzzle. AI only works if employees understand and trust it. Emphasize that AI takes away repetitive work, allowing the team to focus on strategic and more valuable work. Engaging your team in brainstorming applications increases adoption.

Here are 3 ways to make your team AI-ready:

  1. Internal workshops
  2. AI ambassadors
  3. Clear policies, such as our AI user manual

Step 5: Choose the Right Partner

You don't have to walk the path to an AI strategy alone. Many organizations lack the strategic and technical expertise to achieve a robust implementation. As a strategic partner, we help organizations translate their business goals into a concrete digital AI strategy and strategically implement AI within their digital ecosystem.

The future is digital, but especially strategically digital. Start today. Begin with one goal, one step, one application.

Curious about how your organization can smartly start with AI? Schedule a strategic session to map out your organization's AI maturity and determine a concrete AI roadmap.

Reinoud Wolff
Chief Commercial Officer

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