Evidence-first graphic

Automation Audit for Compliance-Critical Systems

For CISOs, compliance leaders, CTOs, and enterprise founders whose automation already carries consequence.

We document every decision boundary, control, and traceable artifact so you can demonstrate the same rigor to procurement, legal, and audit teams that you expect from your suppliers.

Trust snapshot

  • SOC 2 CC mappings: Controls mapped to availability, change management, and security obligations.
  • Decision boundaries catalogued: Inputs, expected behaviour, guardrails, and deviation thresholds logged.
  • Evidence packages delivered: Logs, transcripts, and spreadsheets structured for audit review within five business days.
  • Human-in-the-loop checkpoints: Escalation matrices and sampling frequencies documented per pipeline.

Why this audit exists

Every enterprise automation stack eventually hits procurement, legal, and compliance gates. They care less about experimentation and more about traceability, control enforcement, and evidence. We built this diagnostic because most AI systems are evaluated without the structure they were built under—to procurement, that feels like risk.

Instead of selling a platform, we engineer trust: documenting why decisions fire, how controls keep them within policy, and what evidence proves that the runs stay within the bounds required by SOC 2, ISO 27001, and ISO 42001. The goal is not persuasion, it is proof.

This engagement creates a compliance-ready artifact set that highlights control enforcement, human oversight, and lineage so you can point auditors to precise, verifiable work rather than asking them to trust a dashboard.

What is actually audited

Each artifact in the report maps directly to controls, governance policies, or evidence requirements. We inspect five critical vectors, not to impress but to document what compliance reviewers will see.

Decision boundaries & inputs

Inventory of model triggers, allowed data ranges, and operator instructions with justification (SOC 2 CC6, ISO 27001 A.12).

  • Describe why each decision exists and what should happen when it fires.
  • Document allowable deviations and automatic overrides.
  • Provide sampling notes for deterministic versus nondeterministic outcomes.

Control enforcement & governance

Role-based approvals, runtime monitor hooks, exception workflows, and retention tied to SOC 2 CC5/ISO 42001 governance behavior.

  • Who authorizes automation changes and how they are tracked.
  • Runtime monitors that detect drift and trigger guard rails.
  • Incident escalation matrices and time-to-remediate targets.

Human-in-the-loop & escalation

Approval matrices, review cadences, and sample dashboards that prove humans can intervene when required (ISO 27001 A.14).

  • Describe when a human reviewer must sign off and how frequently that happens.
  • Clarify sampling ratios and feedback loops for high-risk decisions.
  • Note the communications path from operations to compliance owners.

Data lineage & traceability

Immutable logging, schema validation, and custody notes that satisfy SOC 2 and ISO 27001 auditors.

  • Map every transformation from ingestion to output.
  • Highlight validation steps for each data domain.
  • Include log references, timestamps, and responsible engineers.

Evidence generation & artifacts

Deliverables include control worksheets, traceability matrices, log exports, and narrative summaries.

  • Explain how each artifact ties back to the standards cited above.
  • Ensure evidence can be handed to procurement/legal without further translation.
  • Include remediation recommendations and stability checkpoints.

How the audit works

  1. 1

    Intake & verification

    We collect questionnaires, architecture diagrams, threat models, and procurement requirements, then verify artifacts before confirming scope so there are no surprises downstream.

  2. 2

    Qualification & risk profiling

    We validate assumptions, capture risk scores for each automation pipeline, and align the work to SOC 2/ISO control families so focus areas are obvious.

  3. 3

    System mapping & instrumentation

    We document architecture diagrams, data flows, owners, and logging channels, assigning traceable identifiers to every boundary and decision point.

  4. 4

    Control validation & evidence capture

    We observe controls in action, sample logs, and test failure responses, recording timestamps, raw exports, and screenshots with clear references.

  5. 5

    Narrative delivery & evidence package

    We hand off a structured brief with findings, control gaps, remediation priorities, and a compliance-ready evidence bundle that auditors can evaluate directly.

Who this audit helps

  • CISOs preparing automation vendor boards or procurement reviews.
  • Compliance leaders who must document controls for AI decisioning.
  • CTOs who need clarity about how automation impacts risk posture.
  • Enterprise founders with automation in regulated or trust-critical verticals.

Who this is not for

  • Experimental pilots still iterating on core assumptions.
  • Early-stage PoCs without production data or defined controls.
  • Engagements seeking implementation or managed services.
  • Leads wanting instant certification instead of disciplined evidence.

Credibility signals

Standards referenced

SOC 2 CC, ISO 27001 Annex A, and ISO 42001 for autonomous systems. Each finding cites the precise clause it satisfies.

Governance behaviors

Signed NDAs, conflict-of-interest disclosure, and a control tracing spreadsheet delivered for procurement/legal review.

System guarantees

Evidence packages, remediation roadmaps, and stabilization checkpoints with clear owners and timelines.

Ready to assess your automation?

Submissions are reviewed twice weekly. If your qualifications align, you will receive an intake call invitation within three business days of acceptance.