Two hundred evidence items collected and filed
A companion walks every admin console, captures each screenshot and export, names it to your convention, and returns an explicit gap list for what it could not reach.
Two hundred evidence items, collected: each console walked, the screenshot or export captured, named to your convention, filed in the right Drive folder, with a log of what came from where and when. Anything unreachable comes back as an explicit gap list, which is the difference between an evidence folder and a false sense of coverage.
Between audits it keeps going: quarterly access reviews, the vendor security questionnaires arriving weekly from every prospect’s procurement team, the chase for the last 15% of the company to acknowledge the updated policy, and a watch on the regulations themselves. Jira and Confluence are native integrations, along with Google Drive for the evidence folder and PandaDoc for signatures. Vanta, Drata and the admin consoles get operated signed in as you.
Can AI collect audit evidence?
The collection, which is most of the hours.
Given the evidence request list, a companion walks each admin console in your session, captures the required screenshot or export, names the file to your convention, and files it in the right Drive folder with a log of what was gathered when and from where. Items it cannot reach, like physical controls, come back as an explicit gap list rather than silent absence. Where Vanta or Drata already runs an automated test, the companion takes the unautomated remainder, which is the slice that eats the weekends.
Vendor questionnaires under a cite-or-flag rule
The 200-question spreadsheet from a prospect’s procurement team gets a first pass drafted from your canonical sources: the answers library in Confluence, your policies, your public security page. Questions with no canonical answer are flagged, never improvised, because a compliance answer invented by a model is a liability. You review the draft and fix the flags, and a two-day chore becomes a two-hour one.
How do access reviews stop slipping?
The companion assembles the packet: user lists per system pulled from each console in-session, diffed against last quarter so reviewers see joiners, leavers and permission changes rather than raw dumps. Then it runs the chase, sending individually addressed reminders naming each reviewer’s specific outstanding systems, batched for your approval. The review judgments stay with the reviewers; the three weeks of assembly and nagging around them do not. The same mechanics cover policy attestations.
What compliance never delegates
Control design, exception judgments, anything you attest to personally, and the conversations with auditors. Your framework will want the tool itself assessed, and that material is already written: what a companion can reach (your accounts, your permissions), where it stops (an approval card on every consequential action, Ask Always mode for the strictest setting), and what stays on your machine. It is at /security, with the mechanism set out in the safety question.
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Frequently asked questions
Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents