Many companies invest heavily in artificial intelligence, yet the hoped-for economic impact often falls short of expectations. The reason usually lies not in the technology itself, but in an overly fragmented approach. A hodgepodge of scattered pilot projects and initiatives eats into the budget but fails to deliver any business benefits. We help you set the right course from the outset to achieve measurable positive results. Our AI Kickstart Workshop provides the necessary clarity for this. We assess where AI delivers real added value in your specific case and what is technically and organisationally feasible.
“The foundation for a successful AI transformation is a clear, realistic plan – not a chaotic jumble of uncertain pilot projects.”
As a cross-cutting technology, AI can be applied in almost all areas of a business. This creates the risk of a fragmented roll-out of the technology, which is neither sustainable in the long term nor economically viable. A sustainable transformation requires, rather, a stable foundation that harnesses cross-departmental synergies and is clearly manageable and measurable.
When prioritising projects and planning their implementation, many different factors must be taken into account. For example, an early analysis of data quality and integrability can minimise the risk of costly missteps.
Where can artificial intelligence take over routine tasks? Where can improved data analysis generate new revenue? We analyse your business areas and assess potential levers based on their actual impact on your operating profit. The aim is to establish priorities that help you deploy resources where they will have the greatest impact and secure long-term competitive advantages.
We help you filter out the most suitable use cases from the wealth of possibilities. In doing so, we also assess directly whether existing solutions from providers such as SAP or Microsoft are sufficient, or whether a bespoke solution would provide the decisive edge. Together, we define specific scenarios that are technically feasible and offer direct benefits for your staff and customers. This results in a portfolio of coordinated projects that enables both quick wins and long-term innovation.
Even a good idea can still fail at the implementation stage. That is why we carry out a detailed assessment of the effort required and identify any potential dependencies on other systems. We examine organisational hurdles and regulatory risks that could affect your timetable. This realistic assessment helps you avoid unpleasant surprises during the project phase. We ensure that the planned projects are not only technically feasible but can also be seamlessly integrated into your existing organisational structure.
How well an AI model performs depends largely on the underlying data. We analyse your organisation’s data readiness and assess how seamlessly AI applications can be integrated into your existing system landscape and legacy systems. What technical prerequisites still need to be put in place? The result is a list of technical requirements that serves as the foundation for all further steps and ensures a high standard of implementation.
At the end of the workshop, we’ll have a concrete roadmap. We’ll not only define the next steps, but also set out responsibilities and timelines. Crucially, we’ll work together to develop measurable metrics against which you can gauge the success of your AI initiatives. This makes progress visible and manageable. This roadmap serves as a strategic tool for the coming months and ensures that your investments are channelled in a targeted and transparent manner into measurable business success.
“Particularly at the start of the AI transformation, the focus should not be solely on what is technically possible, but on what makes sense for your company from an organisational and economic perspective.”
Nico Reichen,Partner at PwC Germany