Vaultattest
An AI-documentation layer that watches whatever AI tools an audit firm already uses and auto-generates per-procedure evidence binders mapped to the workpaper documentation standard inspectors now demand.
An audit firm has quietly started letting its staff use AI inside engagements, and the documentation standard that governs audit workpapers now requires them to show their work for it: which AI tool, what was fed in, what came out, and how a human auditor exercised judgment on top of it. Today none of that exists as a record. The methodology partner is caught between teams who want to adopt AI and inspectors who are actively examining how AI was used and documented, with the next inspection cycle bearing down and nothing in the file to hand over.
The quality-control / methodology partner at a PCAOB-registered audit firm — the person who owns audit methodology and personally answers to inspectors for how the firm documented its work.
The workpaper-documentation amendments are effective for fiscal years beginning on or after December 15, 2025, with inspectors already examining AI use and a March 2026 UK guidance reinforcing it — the window is open now.
Tracing of AI activity plus tamper-evident logging plus binder generation is a pure-software pipeline built on substrates that already exist.
Four cross-reference mentions and five inbound connections place it in a tamper-evident-evidence family, but convergence in its run is moderate rather than dominant.
A confirmed, in-force regulatory standard with active inspection pressure, a crisp named buyer driven by that standard, and a build path that sits on already-proven software substrates — the demand and the path are both concrete and dated.
The incumbent landscape was asserted rather than mapped, convergence in its run was moderate, and the defensible edge has to come from accumulated inspection-tested evidence rather than the pipeline itself.
Genesis doesn't invent in isolation — Vaultattest shares architecture with, or powers, these ideas.
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