Research Review Controls

Review Controls Are the Difference Between Research and Risk

AI-assisted market research that has not been through structured review controls is not ready to inform any investment-related decision — regardless of how well-organized it looks. Review controls are the specific steps you apply to every piece of AI-assisted research output before it is filed in your research notes, acted upon in a portfolio review conversation, or shared with another investor. Without named gates and assigned reviewers, review happens informally at best and not at all when research pace accelerates. The Pre-Flight Market Report Quality Sign-off prompt structures a rigorous five-gate framework that applies to every AI-assisted research document before it is finalized.

The Five-Gate Research Quality Framework

The Pre-Flight Market Report Quality Sign-off prompt produces a five-gate verification checklist specific to each type of research document. Gate 1 is Absolute Privacy and MNPI Checkpoints: confirming the complete absence of unmasked company ledger entries, bank accounts, or identity strings. Gate 2 is Fact-Grounding Verification: verifying that every listed deadline, ticker symbol, and process step matches primary source files exactly. Gate 3 is No Value or Return Hallucinations: explicit checks forcing manual validation for any numerical return metrics or prices in the text — this gate directly enforces the Zero Financial Math Rule. Gate 4 is Voice and Professional Authenticity Audit: identifying and removing AI-generated buzzwords and generic phrases. Gate 5 is Final Accountable Human Sign-Off with Archival Location: documenting who reviewed, what was confirmed, and where the approved version is stored.

Applying Review Controls by Research Document Type

Different investor research document types have different risk profiles at each gate. A financial report summary has high Gate 3 risk if any numerical figures appear — every number must be confirmed against the original source. A market news triage output has high Gate 2 risk — every risk flag must trace to specific language in the source announcement, not to AI inference. A company filing jargon explanation has high Gate 4 risk — plain-English translations can lose precision through stylistic simplification that AI may introduce. A portfolio review meeting agenda has high Gate 1 risk — any financial estimates that crept into the preparation inputs must be confirmed absent from the agenda output.

Building Review Controls Into Your Research Workflow

Review controls work when they are built into the workflow as a named, required step rather than an informal intention. The research document is not considered complete until the pre-flight verification checklist has been run and the human sign-off is documented. This approach — treating the review gate as a workflow requirement rather than a quality aspiration — is what makes AI-assisted investor research reliable over time rather than occasionally reliable and frequently wrong in ways that only become visible under the pressure of a real investment decision.