Your material, in plain language.
A memo, proposal or reporting extract, plus the decision the review needs to support.
Pasted notes or uploaded documents work. No live system connection is required.
free skill · version 1.0.0
Find the questions the supplied pack still cannot answer.
Check claims, conflicting figures and missing evidence, then prepare a prioritised question and evidence-request register.
Copy into ChatGPT or Claude, or install the ZIP in Claude. No coding required.
A memo, proposal or reporting extract, plus the decision the review needs to support.
Pasted notes or uploaded documents work. No live system connection is required.
The material questions to resolve, why they matter, and exactly what evidence would close each gap.
Facts stay linked to sources. Missing dates, owners and evidence remain visible.
fictional worked example
The supplied numbers imply 20% growth before an adjustment and 16% after it. The review asks for a reconciliation and signed audit evidence without inventing a fraud finding or investment recommendation.
Illustrative output, not a customer result. Your result will depend on the material and AI model you use.
# Fictional example: operating-company reporting pack We are preparing questions before relying on this operating company's reporting pack. We are not asking whether to invest. S1 — Management summary, 20 September 2026: FY2025 revenue was AUD 12 million, up 25% from FY2024's AUD 10 million. Customer concentration is low. The top customer represents 35% of FY2025 revenue. FY2025 accounts are audited. S2 — Finance note, 22 September 2026: FY2025 revenue was AUD 11.6 million after a year-end adjustment. The management summary has not yet been updated. A draft balance sheet is attached; the signed audit report was not included in this extract. S3 — Revenue table: FY2024 AUD 10 million; FY2025 AUD 12 million, before the adjustment. No customer breakdown or adjustment schedule supplied.
Purpose: questions before relying on the pack, not an investment decision. Scope: supplied management summary, finance note and revenue table. Latest supplied date: 22 September 2026.
The pack reports AUD 10m FY2024 revenue and two different FY2025 figures: AUD 12m before adjustment [S1, S3] and AUD 11.6m after adjustment [S2]. It does not establish which figure is signed off. Management reports 35% top-customer concentration and calls the accounts audited [S1]; neither is independently verified by this extract.
| Priority | Claim / source | Question | Why it matters | Evidence that would close it | Responder |
|---|---|---|---|---|---|
| Before relying on the claim | FY2025 revenue [S1–S3] | Which figure is authoritative? | Revenue and growth change with the adjustment | Approved revenue reconciliation and adjustment schedule tied to final statements | Finance lead, proposed |
| Before relying on the claim | 25% growth [S1] | What formula and comparable base were used? | Stated percentage does not follow supplied numbers | Corrected table with periods, basis and calculation | Finance lead, proposed |
| Before relying on the claim | Audited accounts [S1] | Which statements and period does the audit cover? | Draft balance sheet alone does not establish audit status | Signed audit opinion and matching statements | Finance lead, proposed |
| Before relying on the claim | Low concentration; 35% customer [S1] | What is the revenue denominator and supporting breakdown? | Dependence on one customer cannot be characterised from an adjective | Customer revenue breakdown reconciled to authoritative total, plus relevant retention/contract facts | Commercial lead, proposed |
Pre-adjustment growth: (12 − 10) ÷ 10 = 20%. Post-adjustment scenario: (11.6 − 10) ÷ 10 = 16%. Difference: 12 − 11.6 = AUD 0.4m. These calculations assume comparable annual periods and revenue recognition; confirm that basis before use. The 25% claim remains unresolved.
Only three supplied extracts were reviewed. The signed audit report, customer breakdown and adjustment schedule were not supplied for this review; their existence is unknown. No fraud finding, legal opinion or investment conclusion follows from these gaps.
S1: Management summary, 20 September 2026, supplied paragraph, management claims. S2: Finance note, 22 September 2026, supplied paragraph, adjusted revenue claim and audit-report absence in extract. S3: Revenue table, date not supplied, pre-adjustment figures. All data is fictional.
easy setup
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Claude's current setup guideThis saves reusable instructions in a Project; it does not install the Claude ZIP as a native ChatGPT skill.
ChatGPT's Project guideUse ASI Diligence Gap Finder on the material below. Prioritise questions that could change the decision, show your calculations, and distinguish missing evidence from evidence that something does not exist. Here is the review purpose and material:
Check the cited records, figures and dates. Confirm who holds approval authority. These skills prepare human-reviewed material; they do not approve decisions or take actions.
Use only material your organisation permits in your chosen AI application. ASI does not receive documents you use there. Downloads contain instructions, templates and fictional examples; no scripts, trackers or API keys.
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