Reconcile the VDR to the IRL without closing the wrong request

In a data room, the difficulty is not just finding a file. You need to identify who is responding to a request, understand what it covers, and decide if it enables the intended work. I would treat relevance, coverage and sufficiency separately. A contract can mention the correct client without covering the period studied. An export can cover all entities without containing the fields necessary for accounting reconciliation.

This separation becomes essential when deposits are frequent. Same-named files, moved folders, and replaced documents make manual lists fragile. An accounting reconciliation system can reduce this administrative work, but a convincing semantic association is not accounting validation. The check must focus on errors that could cause a request to be wrongly closed.

I would start from a precise IRL: identifier, analysis, entities, period, format and fields. These criteria are used to evaluate supporting documents. Searching by title gives a clue; the content of the document confirms or contradicts the lead. When the entity or period is not identifiable, the system must allow an unknown state. Forcing a yes or no on ambiguous data hides the risk.

The documents must also maintain a lasting identity. I would keep the origin, import date and version, as well as access restrictions. Two identical copies are not two independent proofs. On the contrary, two different files can represent successive stages of the same accounting statement. The version policy must be explained before industrializing the associations.

The first pass can be automated, but I would reserve validation for an identified user. The tool must make the criteria visible and make it possible to challenge an association. A score without explanation helps the reviewer little if the request concerns several entities or specific fields. You must be able to leave a relevant association while maintaining the partial request.

I would also link the analyzes to the sources selected. If the part changes, knowing that it responds to IRL is not enough: you have to find the calculation or conclusion that used it. This dependency is particularly useful for material matters. Without it, the documentary file may appear up to date while the report remains based on the old version.

One request concerns the fourth quarter payroll. Payroll_Q4_v2 contains October and November. The headline suggests the quarter is covered, but a professional review of the data shows December missing. I would classify the request as partial and keep the analysis for the two months available. A tool that infers coverage from the file name fails this test.

Payroll_Q4_v3 adds December. The temporal coverage becomes complete, subject to the expected entities and fields. However, it remains to reconcile the total with the accounting and to examine bonuses, social charges, accounting value adjustments or provisions for charges and possible non-payroll items. Receiving an additional month does not automatically validate these checks. The closure of the request and the conclusion of the analysis must therefore remain distinct.

I would then request that the old version be marked as superseded without losing any previous work. If a standardization used v2, the reviewer should be alerted to its incomplete scope. The new source can confirm the finding or modify it; the decision depends on the content, not the version number alone.

I would prepare a set of requests whose answer is known to the team. It would contain similar but false files, real additions, missing supporting documents and successive versions. Good associations, bad associations and missed matches must be measured separately. One error on a material application may be more important than several easily corrected omissions.

Suppose 30 requests, 24 proposed associations and 3 are incorrect. The correct 21 propositions represent 70 % initial requests; 3 errors represent 12,5 % propositions. This is not a demonstration of completeness: certain correct associations may only provide a partial answer. These illustrative figures show why the denominator and measured level must be written explicitly.

I would start with a well-defined family of requests. The standard cases make it possible to stabilize the criteria; exceptions reveal limits. The governance model must provide for an IRL owner, a reviewer and a reopening rule. Professional scrutiny is lightened when the system exposes discrepancies, not when it replaces them with reassuring color.

Solenor presents documentary accounting reconciliation among its workflows. To evaluate it, I would look at the entire circuit: authorized import, proposals, validation, versions and transmission to the report. The best solution is not the one that links the most supporting documents, but the one that reduces reminders and makes the limits controllable. An absent or ambiguous file must remain visible until an explicit decision.