Why do spreadsheets fail for AI governance?
Spreadsheets create documentation — they do not create governance. AI governance requires named responsibility per decision, enforced workflow with approval gates, structured evidence linked to obligations, an immutable audit trail, versioned records that survive changes, and reconstructable decision paths.
Spreadsheets cannot structurally enforce any of these. They can describe what should happen, but they cannot ensure it happened, by whom, or when.
Key points
- Spreadsheets have no role-based access control. Anyone with file access can modify any field without attribution or approval.
- There is no enforced workflow. A spreadsheet cannot prevent approval without evidence review, or block progression without required fields.
- Version history in spreadsheets is fragile. Copied files, email attachments, and manual overwrites destroy the audit trail.
- Evidence cannot be structurally linked to obligations. A cell reference is not a governed evidence connection.
- At audit, the question is not what was documented — it is whether the process can be reconstructed. Spreadsheets make this structurally impossible.
Why it matters
Many organizations begin AI compliance with spreadsheets because they are familiar and fast to deploy. The problem is not that spreadsheets cannot hold information — they can. The problem is that they cannot hold governance. When an auditor asks for evidence that a specific person approved a specific system based on a specific screening result at a specific point in time, a spreadsheet cannot produce that answer with structural certainty.
How EAB approaches this
EAB replaces spreadsheet-based tracking with structured governance. The AI System Registry creates governed system records. Supervisor Approval enforces review gates. Audit-Ready Traceability creates an immutable decision trail. Every governance step is attributed, timestamped, and versioned — structurally, not by convention.