Comparison

AI Assurance Hub vs. spreadsheets & DIY

A spreadsheet is a perfectly good way to start tracking AI. It stops being good the moment you need consistent risk decisions, an approval workflow, or evidence for an auditor — which is sooner than most teams expect.

Spreadsheet / DIYAI Assurance Hub
Getting startedFast — but a blank grid with no structureMinutes, with a guided register and templates
Risk scoringManual and inconsistent between peopleExplainable, versioned rules — reproducible tiers
Approvals & workflowNone — email threads and hallway sign-offReviewer queue, conditional approvals, safeguards
Audit trailMutable — anyone can edit history; easily lostAppend-only, attributable, defensible
Access & isolationShared file, broad access, no MFARole-based access, MFA, per-tenant isolation
Framework mappingManual, one-off, quickly out of dateLive coverage — NIST AI RMF, ISO 42001, EU AI Act
Staying currentGoes stale the week after you build itVersioning + scheduled periodic review
Evidence for an auditorHand-assembled under deadline pressureOne-click audit package (register, decisions, history)

A spreadsheet is fine if…

You have a handful of AI use cases, no one is asking for evidence yet, and a single person keeps the list in their head. Start there — just plan to outgrow it.

Move to a system of record when…

AI use is spreading across teams, a board/auditor/customer is asking how you govern it, or you need consistent risk decisions and an audit trail you can defend. Building that yourself costs far more than it looks.

The hidden cost of DIY isn’t the spreadsheet — it’s the workflow, access control, audit trail, and framework mapping you’d have to build and maintain around it. A system of record gives you all of that on day one.

Trade the spreadsheet for a system of record.

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