Benchmark observatory
Aurimen Benchmark Observatory
Aggregated observations from structured questionnaires help identify recurring documentation patterns, review friction, and institutional expectations over time.
The benchmark describes patterns within the submitted dataset. It does not score individual businesses or predict institutional outcomes.
Early benchmark
Current figures are exploratory and directional. They reflect the submissions included in the dataset to date and should not be interpreted as statistically representative or as industry-wide probabilities. Individual submissions are never disclosed.
Current benchmark snapshot
Headline counts from eligible questionnaire submissions included in the current aggregated, non-identifying benchmark dataset.
Total submissions
32
FREE questionnaires
14
PAID questionnaires
18
Total answers collected
1,832
Average answers per submission
57.3
Latest submission date
June 29, 2026
Figures may evolve as additional eligible submissions are included in the benchmark dataset.
How to interpret these figures
Methodological guidance for reading the counts and patterns on this page.
- Counts show how often a question, answer, or theme appears in the current eligible dataset.
- Frequency does not indicate whether an answer is good, bad, compliant, or risky.
- The figures do not predict approval, rejection, delay, or additional review.
- Results reflect the composition of submitted questionnaires, not the full market.
- Interpretation should remain cautious while the sample is small.
Most frequent patterns observed
Recurring question-and-answer combinations appearing most often in the current eligible dataset.
How easily can a non-specialist understand how revenue is generated?
Revenue generation is simple and immediately understandable by a non-specialist, with clear logic and straightforward flows
Observed 11 times in the current dataset
If a third party reviewed contracts, invoices, and expenses, how clearly would activity be understood?
Contracts, invoices, and expenses clearly and consistently reflect the activity, allowing immediate understanding without additional interpretation
Observed 10 times in the current dataset
For flows between related entities, is the economic logic really understandable?
Intercompany flows have a clear and documented economic rationale aligned with entity roles
Observed 10 times in the current dataset
Is the number of people involved consistent with the level of activity?
Staffing is proportionate to activity, with clear roles and operational capacity
Observed 10 times in the current dataset
What share of revenue originates outside the main country of operation?
0–10% of revenue originates outside the main country of operation
Observed 9 times in the current dataset
Do third parties (e.g. advisors, fiduciaries, service providers, lawyers, family offices) influence or shape key governance decisions in practice?
Third parties do not influence governance decisions
Observed 9 times in the current dataset
Most represented review areas
Questions most frequently represented in the eligible dataset, indicating where submitted questionnaires contain the greatest concentration of recorded observations.
How many legal entities are involved in the overall structure?
18 recorded observations
If a third party reviewed contracts, invoices, and expenses, how clearly would activity be understood?
18 recorded observations
What share of revenue originates outside the main country of operation?
18 recorded observations
How proportionate is the structure to the activity?
18 recorded observations
How clearly can revenue flows be explained and evidenced to a financial institution?
18 recorded observations
How easily can a non-specialist understand how revenue is generated?
18 recorded observations
Benchmark limitations
Boundaries that apply to the current dataset and its interpretation.
- The dataset includes only eligible submitted questionnaires.
- Participation is self-selected.
- The sample is currently small.
- Questionnaire versions or completion patterns may differ across submissions.
- FREE and PAID submissions may reflect different user populations.
- The figures are not statistically representative and must not be read as market-wide probabilities or as what every institution expects.
The benchmark should be read as an evolving record of recurring themes within the submitted dataset, not as a predictive or representative market model.
Methodology and privacy
How the benchmark is compiled and what is — and is not — published.
- Data are aggregated before publication.
- Individual submissions and client-specific information are not published.
- Displayed patterns are derived only from fields eligible for benchmark inclusion.
- No individual entity, professional, or firm is scored or ranked.
- Published observations are intended for methodological and educational insight.
The benchmark does not determine compliance, business quality, institutional acceptance, or the likely outcome of an individual matter. Published figures are aggregated and non-identifying.
Benchmark evolution
How the observatory is expected to develop as eligible observations increase.
The benchmark is expected to evolve as additional eligible observations become available. Patterns may change as the size and composition of the submitted dataset changes.
The objective is not to predict institutional outcomes. It is to improve collective understanding of recurring documentation and review themes over time.
Outcome monitoring
Qualified professionals may contribute qualitative outcome observations through a separate observatory channel.
Qualified professionals may contribute non-identifying observations about documentation requests, delays, approvals, rejections, remediation, or other external follow-up through the Professional Outcomes Observatory. Contributions may inform future aggregated observatory work; inclusion is not guaranteed.
Professional Outcomes Observatory — contribute a structured outcome observation.