Frequently Asked Questions

Both. I can help frame decisions upstream, but I also work alongside teams during execution to structure the initiative, support prioritisation, clarify requirements, and make sure delivery stays connected to the original business intent.

Yes. The goal is not to add bureaucracy, but to make governance usable. That can include clarifying ownership, defining practical rules, structuring a glossary or catalog, improving data quality logic, and making responsibilities clearer without overloading business teams. For a more concrete overview of this type of support, you can also download the Data Governance flyer.

Yes. I often help teams turn a broad ambition into a more realistic first step, with clearer boundaries, priorities, and sequencing. The aim is to create value early while keeping the path open for later evolution.

Yes. I can help identify where AI is most likely to bring meaningful value in your context, based on your business goals, processes, decision points, and available data. This means looking not only at where AI sounds promising, but at where it can realistically support operations, decisions, or productivity. I can also help assess whether your data foundations are ready, what needs to be strengthened first, and how to structure the initiative so it does not remain stuck at prototype stage.

Yes. I can help define selection criteria, compare options, and assess fit based on your context, operating model, and priorities. My support is fully independent from solution providers, so the objective is to support your decision, not push a platform. This also helps reduce the risk of future lock-in by making sure today’s choice does not unnecessarily limit your ability to scale, build internally, or combine other solutions later.

Yes. I can help structure initiatives involving ERP, BPM, workflow orchestration, or other operational transformation platforms. The objective is not only to select or implement technology, but to clarify the operational logic behind the initiative: processes, responsibilities, data dependencies, decision points, prioritisation, and delivery sequencing. This helps reduce rework, improve alignment between business and delivery teams, and create more sustainable implementation paths.