Evidence Evaluation

Audit evidence,
evaluated end to end.

Collecting evidence is not the hard part — evaluating whether it actually satisfies the control is. Vero AI's Evidence Evaluation gets that done. It covers Readiness (mapping and gap analysis) and Testing (artifact evaluation and workpapers). Start at the altitude that fits the work.

Request a demoSee how it works
End-to-end workflow
01
Documentation
What you say you do
02
Artifacts
What you actually did
03
Evaluate
Does the evidence hold up?
04
Proof
Gaps closed · workpapers written
Readiness → Proof
How Vero AI is organized

From evidence to defensible conclusion

Evidence comes in — policies, procedures, logs, screenshots, exports. It lands in a central evidence repository, gets evaluated against the controls you answer to, and comes out the other side as a clear view of your gaps and as transparent, defensible workpapers. It is one engine and one body of evidence, so the work compounds instead of restarting every cycle.

Step 1
Evidence in
Docs · policies · logs · artifacts
Step 2
Central evidence repository
One home for evaluated evidence, reused across audits.
Step 3
Evaluation
Each item opened, tested against the control, and traced.
Step 4
Gap view
Exactly where you stand, and what still needs proof.
Step 5
Workpapers
Transparent, defensible output — evidence to conclusion.

Same engine, same evidence, whether you are getting ready for an audit or testing controls already in scope. Nothing is re-collected, and nothing restarts — each cycle begins ahead of the last.

Interactive demo

How Vero AI works, end-to-end

Click through the product yourself — evidence in, evaluation, and the workpaper that comes out the other side. No form, no sales call.

The full pipeline

Map the gaps, then prove them.

1 · Map what must be proven

Point it at your documentation. It shows how your stated controls match each framework, then lists the exact artifacts you will need to prove them.

2 · Prove it

Feed those artifacts in. It tests each one and writes the workpapers — not "does the file exist," but does it actually hold up under inspection.

The first step defines what to prove; the second proves it. Run as one pipeline, the handoff is automatic — and the evidence you test carries forward.

The connective layer

Central evidence repository — your artifacts, reused across every audit.

One home for the evidence behind both workflows. Test an artifact once, reuse it everywhere it is relevant — across frameworks, across audits, across time. Each cycle starts ahead of the last instead of resetting to zero.

HoldArtifacts live in one studio, not scattered across audits and inboxes.
ReuseThe same evaluated evidence answers many controls and many frameworks.
CompoundEvery audit makes the next one faster — readiness becomes a standing state.
Under the hood

It does not just check that a file exists.

A human stays on every judgment that matters — the engine handles scale, your team handles meaning. Every conclusion traces back to the evidence that produced it, so the work is reviewable, not a black box.

01Opens

Reads the actual artifact, not just its name.

02Verifies

Checks timestamps, owners, and values against the control.

03Marks

Draws bounding boxes around the approval or the proof.

04Writes

Produces formal workpapers, with traceability from evidence to conclusion.

Frameworks

Evaluated against the frameworks you answer to.

SOC 2ISO 27001NIST CSFSOX / ICFRHIPAAISO 42001NIST AI RMF+ your own controls

Answer to more than one? Evidence Evaluation maps a control once and credits the overlap everywhere it applies — so a multi-framework program finishes in one cycle instead of three.

Built by certified lead auditors

Certified in the standards we evaluate against.

The frameworks Vero AI evaluates against are the frameworks our team is credentialed in — so every finding rests on judgment that is verifiable, not assumed.

ISO/IEC 27001ISO/IEC 27001
NIST CSF 2.0NIST CSF 2.0
EU NIS2EU NIS2
HIPAA Privacy SecurityHIPAA Privacy Security
HIPAA SecurityHIPAA Security
FAQ

Questions auditors ask

What is Evidence Evaluation?
It is the layer between collecting evidence and trusting it. The central evidence repository holds your evaluated evidence in one place and kicks off two workflows — Readiness (mapping and gap analysis) and Testing (artifact evaluation and workpapers) — so audits compound instead of restart.
How is this different from a GRC platform or a checklist tool?
A checklist confirms a file exists. Evidence Evaluation opens the file and tests whether it holds up — checking timestamps, owners, and values against the control, then writing the workpaper. It evaluates the evidence, not just the inventory.
Where do most teams start — Readiness or Testing?
Wherever the work lives today. Some teams start with mapping and gap analysis (Readiness) to see where they stand. Others start with artifact evaluation and workpapers (Testing) to drive compliance completeness on controls already in scope. The central evidence repository holds the evidence either way, so the other workflow is one click — not a re-collection cycle.
Which frameworks does it support?
Vero AI supports all frameworks including SOC 2, ISO 27001, NIST CSF, SOX/ICFR, HIPAA, and your own custom controls — plus AI-governance frameworks like ISO/IEC 42001 and NIST AI RMF. Because frameworks share overlapping evidence, a control evaluated once is credited everywhere it applies.
Does the AI replace our auditors — and can we trust its output?
No. The engine handles scale; your team handles judgment. A person stays on every call that matters, and every conclusion traces back to the artifact that produced it — so the work is reviewable by an independent reviewer, not a black box. Machines for scale, people for meaning.
Get started

Start where your job lives.

Readiness or control testing — pick your doorway. Run both when you want the full pipeline. The other is always a click away.

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