AI Strategie en roadmap

Develop a future-proof AI roadmap with NetCare.

At NetCare we dive into the world of AI together with your team: we look for opportunities, select the projects that deliver impact, and forge a dynamic roadmap that propels your organization into the future. The outcome is an action plan to make the organization AI-ready.

 

 

What is an AI strategy?

AI strategy comprises the organizational, data, and governance choices through which an organization determines where, why and under what conditions how artificial intelligence is deployed.

AI strategy is not an IT strategy. The primary goal is to improve decision-making, not to introduce technology.

At its core, AI strategy is therefore a governance issue and only secondarily a technological issue.

Why AI initiatives often fail

In practice, many AI projects fail not because of technical limitations but because of structural design mistakes. The most common causes are:

1. Problem inversion

AI is chosen before the underlying decision problem has been clearly defined.

2. Overestimating data

Available data is confused with usable, reliable, and permitted data.

3. Lack of ownership

There is no explicit ultimate responsibility for AI-driven decisions.

As a result, the biggest risk when adopting AI is rarely model quality, but almost always insufficient governability.

Approach


  1. Inspiration session

During an interactive workshop we inspire your management team and stakeholders with concrete AI applications inside and outside your sector. Using practical examples and trends:

  • We discover which AI innovations are relevant to your organization.
  • We lead a creative brainstorming session to gather opportunities and ideas.
  • Create a high-level picture of what AI can mean for the company.

Outcome: A shared understanding of AI capabilities and a list of initial opportunities.


  1. Business process analysis

We dive into your core activities and landscape to understand where real impact can be achieved. In this phase:

  • Map processes and the IT landscape.
  • Integration aspects.
  • We identify bottlenecks and optimization opportunities.
  • We determine which data is needed and already (partially) available.

Outcome: A status quo and bottleneck analysis.


  1. Selection of relevant use cases

Not every AI application is equally valuable. That’s why we help you choose the most profitable and feasible projects based on:

  • Business impact (savings, growth, customer satisfaction)
  • Technical feasibility and low-hanging fruit.
  • Cost–benefit considerations.

Outcome: A shortlist of 3–5 AI use cases suitable for a Proof of Concept


  1. Drafting the AI roadmap

We provide you with a roadmap to take the organization to an AI-ready state

  1. Roadmap in which the various use cases are plotted over time.
  2. Pilot phase: Guidance for the first use case together with new or existing partners
  3. Scaling: Scale up to multiple departments and systems
  4. Governance: Setting up IT governance and policy
    Outcome:
    A more concrete roadmap including deliverables, milestones and responsibilities.

Why NetCare?

  • Experience: Years of experience across multiple sectors
  • Customization: Solutions tailored to your organization
  • Extensive network: Access to experts and leading technology partners
  • End-to-end support: From strategy to operations

Ready to define your AI strategy?
Contact us for a no-obligation introduction via the contact form.