I help leaders and organisations understand the implications of artificial intelligence and automation, assess opportunities realistically and develop a responsible way of working with them.
No obligation — tell me where you are today, and I will give you a clear initial assessment.
New models, tools and possibilities are appearing in rapid succession. At the same time, it is often unclear which developments genuinely matter and how they could affect the business model, services, processes and roles.
I help you place technological developments in the context of your organisation and turn them into concrete fields of action.
Not every visible use case creates economic value. Some initiatives save time, others improve quality or enable new services – but many primarily create more work.
I help you assess use cases, prioritise them sensibly and filter out unsuitable initiatives early.
Employees often use AI before shared rules have been established. Uncertainty arises around data, approvals, quality control, documentation and accountability.
Together with the responsible functions, I develop a framework that limits risk without unnecessarily preventing useful adoption.
New tools alone do not change how people work. Leaders need to provide direction, employees need confidence and concrete use cases have to fit existing workflows.
I help you introduce AI step by step, clarify accountability and create acceptance through value people can understand.
These questions cannot be answered by choosing a tool alone. They require a shared position and decisions that fit the organisation.
What do we expect from our leaders when they use AI?
Clear expectations and a shared understanding of leadership.Which decisions may employees make themselves – and where do we need clear boundaries?
Create room for decisions while setting accountable boundaries.How do we prevent some teams racing ahead while others have barely started?
A shared pace and dependable foundations for every team.How do we distinguish productive use from activity for its own sake?
Assess progress and impact against clear criteria.Which capabilities will we need internally, and what can external partners take on?
Build internal capability deliberately and complement it with external expertise.How do roles, responsibilities and expectations change when parts of the work are automated?
Reshape roles, accountability and collaboration early.And how do we know whether our investments are actually having an effect?
Measure success by meaningful impact rather than pilot activity.I clarify what prompted the consulting work, which decisions are pending and what expectations exist within the organisation.
I look beyond the stated objective to existing processes, systems, roles and previous experience with AI and automation.
Depending on the situation, I examine technological developments, possible use cases, economic value, risk, organisational prerequisites and the impact on employees.
I involve the people and functions whose perspectives are needed for a decision that can hold up.
I make visible which options are realistic, which prerequisites are still missing and what consequences the different paths would have.
The outcome may also be to narrow an initiative, establish other foundations first or decide not to continue.
The findings lead to a reasoned recommendation with clear priorities, accountability and next steps.
You receive a foundation on which the organisation can decide and continue the work internally.
Open questions become a dependable direction
Consulting makes options, dependencies and consequences visible – so decisions can be made with confidence and carried forward safely.
Artificial intelligence cannot be treated sensibly as a purely IT topic. A technically feasible application may be economically unattractive. Good governance may be ineffective in practice if employees cannot understand it. And a powerful tool does not automatically improve the way people work.
What value should an initiative create, and how can we judge whether effort and impact are in a sensible relationship?
Which systems, data and interfaces already exist, and what constraints or dependencies follow from them?
Which rules, roles, approvals and controls are needed so AI can be used responsibly?
How should leadership, communication, enablement and rollout be designed so new ways of working are understood and adopted?
When working with AI, organisations have to account for different interests at the same time. Consulting is not about choosing one side by default, but finding a workable relationship for the organisation itself.
New possibilities should be testable without ignoring privacy, quality and accountability.
A shared framework needs to provide direction without blocking every useful application through central requirements.
Not everything that can be built with AI improves a process or justifies the resulting effort.
Change does not happen through better tools alone. Employees need to understand the value of a new way of working and what is expected of them.
The concrete form depends on your starting point.
What matters is that the work does not end with conversations and general recommendations.
A clear view of which developments matter for your organisation, where action is needed and which topics can be observed for now.
A prioritised selection of areas and use cases, assessed by value, feasibility, risk, prerequisites and organisational effort.
A practical framework for tools, data and accountability, with clear rules for approvals, quality assurance and documentation.
An agreed picture of where the organisation should go, which prerequisites are needed and which steps should follow one another.
A reasoned recommendation that brings together options, implications and open questions while clearly preparing the next decision point.
Whether the issue is strategic direction, governance, prioritisation or adoption: in an initial conversation, we clarify what really matters, which questions need answering first and which next steps follow from them.
You leave with a clear initial assessment and a dependable next step.