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Curious Context Labs

Legal and compliance · Agent

Audit evidence collection

AI audit evidence collection for SOC 2 and ISO 27001

Gathers screenshots, exports and sign-offs for each audit control from your systems, labels them and flags gaps before the auditor asks.

01 today

The problem

Audit season means weeks of chasing people for screenshots, access reviews and policy sign-offs. Evidence ends up in a messy folder with unclear dates, and gaps are found by the auditor rather than by you. The same requests repeat every year because nothing is collected as you go.

02 the run

What the AI does

  1. Step 1: Maps each control in your SOC 2, ISO 27001 or similar framework to the system that proves it.
  2. Step 2: Pulls evidence on a schedule from Okta, Google Workspace, AWS, GitHub and Jira, such as access lists and change approvals.
  3. Step 3: Labels each item with the control, date range and source, and files it in Vanta, Drata or a shared folder.
  4. Step 4: Chases control owners in Slack for anything that needs a person, like a signed policy or a completed access review.
  5. Step 5: Produces a gap list showing which controls lack current evidence and who owns each one.

paused: waiting for a person to approve

03 human in the loop

Where a person approves

Each control owner confirms their evidence is accurate before it is marked ready. Your compliance lead approves the final package before it is shared with the auditor.

04 after

What changes

Evidence builds up through the year instead of in a scramble. Gaps surface early enough to fix, and audit prep becomes a review of a tidy folder rather than a hunt.

Results from a real build

[CASE STUDY] We only publish results we can name and check with the client.

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Tell us how your business runs. We'll tell you where AI fits.

A free 30-minute call. You talk, we ask questions, and you leave with a few concrete ideas — or an honest answer that AI isn't the right fix yet.

Working with teams in the United States, United Kingdom and Australia.