AI Review for Excel Budgets, Forecasts & Finance Models
How Zlaip AI Asset Review scans CSV and Excel uploads against your locked deliverable — wrong workbook detection, tabular DoD gaps, and draft comments anchored to spreadsheet cells.
Part of Approval Lock™ guides guides →
- AI asset review
- Excel review
- financial model review
- budget approval
- FP&A
- spreadsheet review
You sent the April cash flow model. The client’s first comment: “This is still March.” Wrong file — revision round burned, trust dented, invoice delayed.
AI Asset Review in Zlaip runs on CSV and Excel review sessions the same way it runs on PDF and video: it reads extracted tabular text plus agreement context (deliverable label, scope, Definition of Done), checks deliverable match, and suggests draft comments with cell-range anchor hints. Humans publish, edit, or dismiss — nothing auto-approves.
What the scan sees in a spreadsheet
When a review session opens on a hosted .xlsx, .xls, or .csv file:
- Server-side extraction — sheet names and cell values become text the model can reason over (not live formula engine evaluation)
- Deliverable match — does this workbook plausibly match the milestone? (e.g. “Q2 board model” vs. last quarter’s file)
- Objective findings — placeholders, empty sections, obvious labeling mismatches, visible DoD gaps
- Draft comments — suggested feedback with anchors like
Summary!B4:C4you can accept, edit, or bulk-dismiss
The client still reviews in the spreadsheet canvas — selecting cells, reading formulas in their copy, and leaving their own comments. AI does not replace tie-out judgment or audit sign-off.
Finance use cases where AI helps most
| Scenario | What AI catches early |
|---|---|
| Wrong period / wrong entity | File title or header rows don’t match deliverable label |
| Placeholder rows | TBD, INSERT, lorem, or blank driver tabs |
| Incomplete pack | Missing expected sheet names vs. DoD (“no CapEx tab”) |
| Obvious mislabel | “2025 Budget” header in a “2026 reforecast” milestone |
| Template not cleared | Sample data rows still present in client-facing export |
What AI does not do: validate every formula, recalc dependencies, or certify GAAP compliance. Those stay with the preparer and the approver’s professional judgment.
Human in the loop — especially for finance
Finance approvals have higher stakes than creative polish. Zlaip keeps the guardrails:
- Findings are draft comments until published
- Approval Lock™ still requires the designated approver and DoD completion server-side
- When revision rounds are exhausted, the scan stops suggesting open-ended revision feedback
- Scope drift on published comments can route to a Change Order™ — extra tabs or scenarios are not free by default
Use the AI tab in the review sidebar for findings; use Review brief before approve vs. revise when the pack is large.
How to run AI + Excel review on a milestone
- Lock agreement terms — deliverable name, sheets or outputs expected, revision limit, approver
- Upload Excel or CSV via Accountability Chat → Review Workspace
- Let the scan queue (large files may take a minute; keep reviewing meanwhile)
- Client reviews cell ranges; optionally adopt AI drafts after editing
- Request revision or Approval Lock on the accepted version
- Release payment per Payment Release Gate™
For the full spreadsheet UX (multi-sheet preview, range selection), see Excel & spreadsheet review for finance deliverables.
AI vs. sending the model to ChatGPT
Generic chat does not know:
- Your milestone title and locked scope
- Revision rounds already used
- That a comment must become an anchored record on the agreement timeline
- Who may bind Approval Lock
Zlaip ties scan output to the same session finance already uses for cell comments — then routes decisions through accountability gates.