Composites that show how problems surface
Three illustrative scenarios built from common patterns, each showing what the ledger revealed and what changed.
Every scenario on these pages is an illustrative composite. None describes a real client, a real person or a past Finance Ethics engagement.
Three composites, three familiar patterns
Each is labeled as illustrative in its first paragraph.
An illustrative composite. Ledger analytics at a 140-person distributor traced late Sunday journal entries, posted and approved by one accountant, that moved costs between months.
An illustrative composite. A community health nonprofit about to pass $1M in federal expenditures rebuilt its grant policies, time records and subrecipient monitoring, then rehearsed the audit.
An illustrative composite. At a Series C software company, an AI agent that coded invoices ran under an account that could also approve them, so bills under $10,000 approved themselves.
How each scenario is built
We build each scenario from patterns that recur in this kind of work: a senior accountant who can both post and approve journal entries, a nonprofit whose federal expenditures cross the single audit threshold for the first time, a service account that inherited approval rights. The sector, size, figures, timeline and roles are invented to make the pattern concrete. People are described by role, such as "the controller" or "the board chair", and no company is named.
Every scenario follows the same structure: the situation, what we did, what we found, what changed and what to take from it. The account of what we did maps to the stages of the Open Ledger Method, so you can see which stage turned up which finding. The services named in each one, such as Full-Ledger Analytics, describe the work as we would scope it today. For the control behind the first scenario, see segregation of duties when your finance team is three people.
A scenario shows how a problem tends to surface and what a reasonable fix looks like. It is not evidence of results we have achieved for anyone, and it is not a prediction of what an engagement will find.
Some patterns will look familiar
If one of these reads like your organization, the same pattern is easier to fix before an auditor, funder or buyer finds it.