AI everywhere or AI with a plan? We assess where your company stands, identify the use cases with real business value and build the roadmap that turns ideas into prioritized projects.
Request a free analysisAn AI readiness audit evaluates a company’s data, processes, systems and expertise for their AI suitability. Building on this, a use case roadmap prioritizes use cases by effort and benefit. That way, you invest in AI projects that pay off rather than in experiments without a goal.
The most expensive AI projects are the ones that should never have started: technically exciting, but without measurable business value. The opposite is just as costly: waiting while competitors speed up their processes step by step.
A good AI strategy is therefore primarily about prioritization: Which use cases demonstrably save time or money? Which data and systems are required? And in what order does it make sense to get started? That’s exactly what our audit answers.
An assessment of your data, systems, processes and expertise: where is your company AI-ready, and where is the foundation still missing?
Use cases are collected, evaluated and prioritized by effort and benefit, with a clear recommendation for the first steps.
GDPR, responsibilities and quality assurance are considered from the outset, not bolted on later.
We stay on board: from the first pilot project and success measurement to scaling the solutions that prove themselves.
Interviews and a system review show where your company stands today and what potential is realistic.
Together with your departments, we collect use cases, from quick wins to strategic projects.
Each use case is assessed by effort, benefit and risk. The result is a roadmap, not a graveyard of ideas.
The most promising use case moves into implementation as a pilot, with clear success criteria before rollout.
Four dimensions: data (quality, accessibility), system landscape (interfaces, cloud readiness), processes (standardization, documentation) and people (expertise, acceptance). The result is a clear picture of which AI initiatives are realistic today.
Depending on company size, usually two to four weeks, including interviews, a system review and a prioritized roadmap.
Then it’s a good time to start. Without legacy baggage, you can choose the order freely, and the first projects can start precisely where the benefits become visible fastest.
Yes, on request – from process automation and custom software to AI integration, with our own team and our partner network.
Let’s find out which AI use cases truly pay off for your company.