Turn a spreadsheet process into an auditable AI workflow

Spreadsheets often mix input, business rule, human edit and final state in the same mutable cell. An auditable workflow separates events and decisions while retaining the sheet as an interface when useful.

Create immutable events

The automation lab turns two fixture rows into event records.

from automation_cases import spreadsheet_audit_case

result = spreadsheet_audit_case()
assert result["traceable"] is True
assert result["pending_review"] == ["R2"]
assert result["events"][0]["rule_version"] == "v2"
assert result["spreadsheet_modified"] is False

The second row remains pending because it has no reviewer. No spreadsheet service was modified.

Separate system roles

Assign stable row and event IDs. Validate typed input and compute a digest before processing. Store proposed AI result, deterministic checks, rule/model version, reviewer decision and external record ID as append-only events. The visible sheet can show current state derived from that log.

Use a service identity with access only to named ranges/files and avoid shared personal credentials. Prevent formulas or free text from authorizing external writes. Add idempotency for row updates and detect edits after approval through version/digest mismatch.

Reconcile input rows with completed, duplicate and exception states. Export workflow/version evidence, protect sensitive cells and define recovery when users reorder, delete or copy rows.

The Generative & Agentic AI course connects familiar business tools to reliable automation controls.

Exercise

Use a local CSV as the interface and SQLite as the event ledger. Edit an approved row and prove the digest mismatch reopens review instead of overwriting history.

Continue learning

This article is part of the Business automation with AI sequence. Use the neighbouring tasks when you need the prerequisite or the next application.

• Review the prerequisite or neighbouring task in Build a safe research-to-brief workflow.
• Continue with Document permissions for a business automation owner.

Reference: NIST AI RMF Generative AI Profile.