Open any mid-market FDD report to the quality of earnings section. You'll find a table of EBITDA adjustments — addbacks, normalizations, reclassifications — each with a short description and a number. Now try to verify one. Trace the €340K "non-recurring consulting fees" back to the original invoice, the GL posting, and the management representation that confirmed it was genuinely one-off.
In most reports, you can't. The trail ends at the table. The adjustment is presented as a conclusion, not as the final step of a documented chain of evidence. And that gap — between a stated finding and a provable one — is where confidence breaks down.
What traceability actually means
Source traceability is a simple concept: every material finding, adjustment, or conclusion in an FDD report should link to the specific source that supports it. Not a category of source. Not "data room documents." The specific file, the specific page, the specific data point.
In practice, this means an EBITDA addback for a one-off legal settlement should reference the settlement agreement (with data room index number), the corresponding GL entries, and the management confirmation that no further exposure exists. A working capital normalization should trace to the underlying accounts, with the seasonal pattern demonstrated rather than described.
This isn't an unreasonable standard. It's how audit works. It's how legal diligence works — every representation in a legal DD report cites the document that supports it. Financial due diligence should be no different, yet in the mid-market, it routinely is.
Why most reports fall short
The reason isn't negligence. It's economics. Traditional FDD is labor-intensive. An analyst spends hours extracting data from the data room — downloading trial balances, cross-referencing management accounts, pulling invoices to test individual adjustments. The source-tracing happens in the analyst's working papers, but by the time the findings are written up for the report, the chain is compressed into a summary line.
Under time pressure — and in mid-market FDD, there is always time pressure — the summary is what ships. The working papers stay with the provider. The client receives conclusions, not the evidence behind them.
This creates a structural asymmetry. The FDD provider knows the sources. The PE firm commissioning the report does not. And the lender reviewing the report for credit committee has even less visibility.
What's lost without it
The consequences are practical, not theoretical.
The deal team that commissioned the report shouldn't need to go back to the provider every time someone downstream asks "where did this number come from?" The answer should be in the report itself.
What good looks like
A source-traced FDD report doesn't need to be longer. It needs to be structured differently. Each material adjustment carries a reference — a data room index, a specific GL account code, a management confirmation with a date. The reader can follow the chain from conclusion to evidence without leaving the document.
In practice, this means the report is built from the sources up, not the conclusions down. The analysis starts with what's in the data room, traces it through the financial statements, and arrives at findings that are inherently documented because the work was done that way from the start.
How AI changes the equation
The reason traceability has historically been sacrificed is time. Manually tracing every adjustment to its source across hundreds of data room documents is precisely the kind of work that eats through analyst hours without being visible in the final report.
This is where AI fundamentally shifts the economics. Extracting data from financial statements, cross-referencing GL entries against source invoices, flagging inconsistencies between management accounts and filed accounts — these are tasks where AI is not just faster but more reliable. It doesn't skip a document because the data room was poorly indexed. It doesn't lose track of a reference because the engagement ran long.
What AI doesn't replace is the judgment that sits on top of the evidence — deciding whether an adjustment is genuinely non-recurring, assessing whether a working capital pattern reflects real seasonality or a one-off distortion, evaluating the commercial plausibility of management's projections. That's still practitioner work. But when the extraction and tracing are handled systematically, the practitioner's time goes entirely into the analysis that matters.
The result is a report where traceability isn't a luxury that gets cut under time pressure. It's a byproduct of how the work is done.
Every finding traced. Every adjustment documented.
Signum delivers FDD reports with complete source traceability — in days, not weeks. See what a fully traced report looks like.
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