We combine structured research, source verification and human judgement to provide a solid basis for decision-making.
AI helps with speed and structure. The assessment remains a human task.
What is reliable, what remains open to interpretation, and where are the risks?
Management Summary, Overview, Sources, Next Steps.
Less risk: Assumptions are tested, contradictions are revealed and blind spots are reduced.
Make faster progress: Structured research saves time without compromising on quality.
Better basis for decision-making: Results are presented in such a way that they can be robustly defended internally.
Reusable: Recurring questions can be addressed using the same logic and updated.
To ensure we can structure our research and analysis effectively, a clearly defined framework is usually sufficient to get started.
Objective and research question
What decision needs to be prepared for, and how will the outcome be measured?
For brief consultations and queries during the research.
Where available: product documentation, internal assessments, market assumptions or existing materials.
Scope and boundaries
For example, regions, languages, regulatory requirements or time constraints.
Priorities and timing
So that the scope and depth of the research can be sensibly coordinated.
If it becomes apparent during the initial consultation that no meaningful scope of work can be defined, we will address this openly.
Background
A medium-sized company wishes to assess whether it makes economic sense to enter the French market.
The following were examined
Market size, competitive environment, price levels, barriers to entry, sales and partner signals, as well as relevant regulatory and operational characteristics.
Result
Not a general country analysis, but a robust assessment of opportunities, risks, realistic entry scenarios and the next sensible steps.
Background
A company is under financial pressure and needs to determine which market segments, services and priorities will remain viable in the long term.
The following were examined
market and competitive situation, viable segments, external customer and market signals, relevant framework conditions and potential strategic priorities.
Result
Not a general description of the situation, but a robust basis for priorities, communication, decisions and next steps.
AI supports speed and structure. Evaluation, prioritisation and decision-making logic remain subject to human review.
Focused analysis: 5–10 days; in-depth analysis: 2–3 weeks.
Key statements are documented with source references.
GDPR compliant; data processing agreement available on request.
No. People make decisions.
AI speeds up research and variant creation; quality assurance is carried out by our team.
We will re-negotiate the scope; additional/reduced costs will be transparent.
Often yes (e.g., BAFA/innovation voucher). We check this in advance and assist with the application.
German/English (others upon request).
We only process project-related data, store sources and results in accordance with the GDPR, and use European infrastructure wherever possible.
We use a project-specific review framework: research question, source criteria, counter-hypotheses, plausibility check and human verification of results.
Let’s have a quick chat to clarify what decision needs to be made and whether external research support would be useful.