Team & HR

An audit log of who changed what, and when

When an invoice value is wrong or a job status changed overnight, the useful question is who did it. Gaffer records mutations across the API with the user, the action and the record affected — so questions about your own data have answers rather than theories.

No credit card required · One platform · Web & Android (iOS coming soon)

How the audit log works in Gaffer

Mutations are recorded centrally as they happen, not reconstructed from backups.

Attributed to a person

Changes carry the user who made them, so a disputed edit is a lookup rather than an argument.

Across the platform

The log covers API mutations generally rather than a handful of screens, so it does not only capture the places someone remembered to instrument.

Available to you

The log is visible in the app and on mobile, so it is something you can consult rather than something you would have to ask support for.

What you get

The audit log sits alongside role permissions, device management and two-factor authentication.

  • Mutating API actions recorded as they happen
  • User attribution on every recorded change
  • The record and action affected captured with the entry
  • Viewable in the web app and the mobile app
  • Business-scoped, so you only ever see your own data
  • Complements role permissions by showing what access was used for
  • Separate AI assistant action log for agent-performed actions

Common questions about audit log

What does the audit log actually capture?

Mutations made through the API — the creates, updates and deletions that change your data — with the user who made them. It is designed to answer 'who changed this', which is the question that actually gets asked.

Can staff delete their own audit entries?

The log is not an editable record in the way business data is. Combined with role permissions, that is what makes it useful as an accountability trail rather than a convenience feature.

Is AI assistant activity logged?

Yes, separately. Actions taken by the AI assistant are recorded in their own agent audit log, so automated changes are distinguishable from ones a person made directly.

Does this help with accreditation?

It supports the information-security and record-integrity questions that come up in ISO 9001, ISO 27001-adjacent questionnaires and larger client due-diligence packs.

Know who changed what

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