Human review in financial diligence
Reliable financial work needs explicit boundaries between reading a document, computing a value, proposing an interpretation, and approving a conclusion.
Separate the kinds of work
AI-assisted diligence brings several different activities into the same conversation: document extraction, deterministic calculation, anomaly identification, interpretation, and professional approval. Treating them as one undifferentiated output obscures their different risks.
Extraction asks what a source says. A scanned statement or irregular table may require a different method from a structured accounting export. The extracted value still needs a source location and, where appropriate, verification.
Calculation asks how a value is derived. Financial figures should follow defined logic using identifiable inputs. A fluent explanation does not establish that the arithmetic or account mapping is correct.
Use evidence as the boundary
Interpretation asks what the evidence means for the business and transaction. A unusual item, customer concentration, or margin movement may deserve attention without supporting a definitive adverse conclusion.
Approval is a professional decision. The reviewer must consider scope, evidence quality, accounting context, and the intended use of the deliverable before accepting a conclusion.
Addback uses deterministic application code for the figures that drive its screening checks. Unsupported evidence is marked not assessable rather than filled with a model-generated estimate.
Where Addback uses its optional AI extraction layer, those outputs are kept separate, carry an AI origin and verification requirement, and do not replace authoritative deterministic figures.
Design for meaningful review
Review should be directed at material questions, not reduced to a final checkbox. Give reviewers the source, calculation, rationale, uncertainty, and proposed next action needed to challenge a finding.
Choose an accountable workflow
Keep disagreement visible. A reviewer may reject a candidate adjustment or require additional evidence. Preserving that decision is more informative than silently changing the final number.
Finsider offers different levels of support: Addback for the first screen, Platform for work performed by your team, and Advisory for a scoped CPA-led engagement. The professional responsibilities should be clear in each workflow.
This Finsider Labs note describes a design and review framework. It does not claim that AI eliminates errors, replaces a CPA, or guarantees an investment outcome.
