Use case
Use case3 min readBy The Data Workers Team

Audit and controls data, run by agents

Evidence for SOX and audit requests is assembled by hand from tickets, logs and spreadsheets. Here is how Data Workers runs it instead.

Key takeaways

  • •The problem today. Evidence for SOX and audit requests is assembled by hand from tickets, logs and spreadsheets.
  • •What changes. Every agent action, approval and change is recorded in a hash-chained trail, and lineage evidence is generated on request.
  • •What stays with your people. Control sign-off: auditors and owners decide.
  • •The result. Audit requests are answered in hours.

The problem today

Evidence for SOX and audit requests is assembled by hand from tickets, logs and spreadsheets.

What changes with Data Workers

Every agent action, approval and change is recorded in a hash-chained trail, and lineage evidence is generated on request.

The workflow: Data Access & Governance agent (generate_audit_report) → Data Context & Catalog agent (trace_cross_platform_lineage) → Data Access & Governance agent (check_policy) → Autonomous Data-Conductor (request_governance_review).
Fig. 1:The workflow: Data Access & Governance agent (generate_audit_report) → Data Context & Catalog agent (trace_cross_platform_lineage) → Data Access & Governance agent (check_policy) → Autonomous Data-Conductor (request_governance_review).

The workflow, step by step

  1. 1.The Data Access & Governance agent calls generate_audit_report and exports the audit trail.
  2. 2.The Data Context & Catalog agent calls trace_cross_platform_lineage and produces lineage evidence.
  3. 3.The Data Access & Governance agent calls check_policy and shows the control applied.
  4. 4.The Autonomous Data-Conductor calls request_governance_review and records named approvals.

The impact metrics we move

  • •Evidence package: from about 2 weeks to 4 h
  • •Lineage for a reported number: from about a week to minutes
  • •Access review: from about 2 weeks to 2 h
Time to complete, current practice (black) vs. with Data Workers (green). Illustrative.
Fig. 2:Time to complete, current practice (black) vs. with Data Workers (green). Illustrative.

What goes on autopilot

  • •Every change carries a receipt, so evidence exists before anyone asks.
  • •Lineage is generated, so walkthroughs are fast.

Where your people stay in charge

Control sign-off always go to a named approver, because auditors and owners decide. Everything starts at L1, observing only, and autonomy rises only on evidence.

The pilot

  • •Scope. Evidence export for one process.
  • •First week. Agents run at L1, observing only, and show the fixes they would have made, with receipts.
  • •By week two. The routine work above runs on its own; anything sensitive stays with a named approver.
  • •At day 30. We review the impact metrics against your baseline:
  • •Evidence package: from about 2 weeks to 4 h
  • •Lineage for a reported number: from about a week to minutes
  • •Access review: from about 2 weeks to 2 h
  • •Cost. Start with a pilot ($7,500 one-time, credited in full against the first year). Scale is from $1,000 a month and Enterprise from $3,000 a month, billed annually, with unlimited seats, no usage meter and no markup on model spend. See pricing.

Related: The finance and accounting page · The full team playbook

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