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A finance lead asks you to automate the monthly KPI pack workbook end to end. The deliverable is a 12 tab spreadsheet that refreshes from raw exports, rebuilds pivots and charts, and produces an executive summary without manual copy paste.
Start by scoping what automation means in spreadsheet terms. You own the failure mode where one wrong formula changes a reported KPI, so you define which steps are allowed to be AI generated and which steps must be deterministic. A workable scope is. ingest two exports for the last 24 months, standardize column names, calculate KPI definitions in a single model tab, and update a fixed set of visuals.
Set success criteria before any edits. Name the dataset. for example 18,000 rows of order lines from 2024-01 to 2025-12 segmented by region and channel. Name the question. for example did gross margin percent change month over month after the pricing update. AI can draft formulas and scripts. You decide the KPI definitions and you verify every reconciliation.
A spreadsheet automation architecture is a flow with checkpoints, not a pile of clever formulas. Separate raw exports from transformed tables so you can compare pre and post transformation counts and sums. Keep analysis tables downstream of transformation so KPI logic is not mixed with cleaning logic. Keep presentation tabs downstream of analysis so charts never become the source of truth.
You will validate at boundaries. ingest to staging validates row count, key uniqueness, and date range coverage. staging to model validates joins and calculated fields. model to charts validates that aggregations match the model. refresh cycle validates that the same inputs reproduce the same outputs.
Use the diagram to identify where you will place validation checks and what each check proves.
In a regulated finance team, the best approach is the one that leaves evidence. You need access control, a record of what changed, and cell level traceability from a KPI back to source columns.
Compare four options by constraint, not convenience. Excel add ins can write formulas directly but you must ensure changes are reviewable in version history. Sheets Gemini can suggest transformations but you still need named ranges and protected sheets to prevent silent edits. Chat with file can propose a plan, yet it cannot guarantee it saw every tab or hidden range, so you treat it as a generator, not an executor. Governance fit is the deciding axis. if the tool cannot be logged, it cannot be used for production reporting.
Work through the selection criteria for your environment and document the constraint you cannot violate.