AI Audit for GRC

Audit-Grade Evidence Evaluation. For Every Framework You Run.

Vero AI is the evaluation engine for GRC programs.

It applies formal control logic to your policies, logs, and operational data — testing each artifact, scoring it consistently, and producing traceable findings. Overlap is evaluated once and credited across every framework you run — from SOC 2, ISO 27001, and NIST to your own custom standards — so multi-framework programs finish in a single cycle.

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Automated Workflow

01 Evidence – Policies, logs, exports

02 Mapping – Mapped to every framework

03 Evaluation – Overlapping controls once, rest in parallel

04 Workpapers – Audit-ready output

AI evaluation running continuously

The PROBLEM

Every Framework You Add Extends Your Audit Calendar

Most compliance programs test one framework at a time. Add a framework and the cycle multiplies. Overlapping controls get retested. The rest wait in line. Audits take longer than they should, cycle after cycle.

Teams spend their time:

Overlapping controls tested separately for every framework

Framework-specific controls queued in sequence, not run in parallel

Same evidence re-chased from the same control owners

No single view of compliance posture across programs

Sequential Testing Timeline

Each framework waits for the last one to finish

Week 0Week 8Week 16Week 24+

SOC 2

ISO 27001

waiting…

NIST CSF

waiting…

Custom / industry frameworks — still waiting

24+ weeks total · queue keeps growing

Every framework you add extends the timeline — and the queue keeps growing.

Evaluation Engine

How Vero Evaluates Evidence

Five stages take raw evidence from intake to audit-ready findings — the same logic an experienced auditor applies, executed at scale across any framework you run, public or custom.

Evidence In

Audit-Ready Findings

Control Logic

Vero encodes the formal logic of each control — what evidence proves it, what gaps invalidate it, what's audit-defensible — encoded once, applied everywhere.

Automated Testing

Each artifact is tested the way an experienced auditor would — against the formal criteria of every control it touches, every time, at scale, with no reviewer drift.

Consistent Scoring

Pass/fail and confidence scores derived from the same logic every time — across reviewers, engagements, and frameworks. The same control, tested the same way. No drift.

Traceable Reasoning

Every score links back to the evidence cited and the rationale applied. Every finding is defensible in front of an auditor — nothing is a black box.

Structured Findings

Framework-aligned workpapers, not free-text summaries. Exceptions and SoD findings structured to each framework's format — ready for human review, not raw output.

AI Agents

Seven AI Agents Behind Every Evaluation

Each agent has a distinct role — together they handle the full compliance cycle end-to-end.

Intake Agent

Ingests and normalizes evidence from any format — PDFs, Excel with embedded images, portal exports, and large document sets — without manual preprocessing.

Mapper Agent

Maps each piece of evidence to every framework control it satisfies — public standards like NIST, SOC 2, and ISO, or any custom framework you operate.

Evaluator Agent

Reviews each artifact against control requirements, identifying gaps, exceptions, and segregation of duties issues with full citations.

Scorer Agent

Assigns confidence scores and pass/fail determinations to each control attribute, with transparent rationale for every conclusion.

Documenter Agent

Generates structured workpapers with annotated evidence, explanations, and linked artifacts — audit-ready from the moment testing completes.

QA Agent

Reviews all output for completeness, consistency, and adherence to audit standards before results are delivered for human review.

Reporter Agent

Synthesizes findings across all controls and samples into executive summaries, audit reports, and remediation guidance.

See all 7 agents in action

Watch how the full agent team works together across a live SOX engagement.

Request a demo

AI Agents

Seven AI Agents Behind Every Evaluation

Each agent has a distinct role — together they handle the full compliance cycle end-to-end.

Intake Agent

Ingests and normalizes evidence from any format — PDFs, Excel with embedded images, portal exports, and large document sets — without manual preprocessing.

Mapper Agent

Maps each piece of evidence to every framework control it satisfies — public standards like NIST, SOC 2, and ISO, or any custom framework you operate.

Evaluator Agent

Reviews each artifact against control requirements, identifying gaps, exceptions, and segregation of duties issues with full citations.

Scorer Agent

Assigns confidence scores and pass/fail determinations to each control attribute, with transparent rationale for every conclusion.

Documenter Agent

Generates structured workpapers with annotated evidence, explanations, and linked artifacts — audit-ready from the moment testing completes.

QA Agent

Reviews all output for completeness, consistency, and adherence to audit standards before results are delivered for human review.

Reporter Agent

Synthesizes findings across all controls and samples into executive summaries, audit reports, and remediation guidance.

See all 7 agents in action

Watch how the full agent team works together across a live SOX engagement.

Request a demo

AI Agents

Seven AI Agents Behind Every Evaluation

Each agent has a distinct role — together they handle the full compliance cycle end-to-end.

Intake Agent

Ingests and normalizes evidence from any format — PDFs, Excel with embedded images, portal exports, and large document sets — without manual preprocessing.

Mapper Agent

Maps each piece of evidence to every framework control it satisfies — public standards like NIST, SOC 2, and ISO, or any custom framework you operate.

Evaluator Agent

Reviews each artifact against control requirements, identifying gaps, exceptions, and segregation of duties issues with full citations.

Scorer Agent

Assigns confidence scores and pass/fail determinations to each control attribute, with transparent rationale for every conclusion.

Documenter Agent

Generates structured workpapers with annotated evidence, explanations, and linked artifacts — audit-ready from the moment testing completes.

QA Agent

Reviews all output for completeness, consistency, and adherence to audit standards before results are delivered for human review.

Reporter Agent

Synthesizes findings across all controls and samples into executive summaries, audit reports, and remediation guidance.

See all 7 agents in action

Watch how the full agent team works together across a live SOX engagement.

Request a demo

See How Vero AI Works

Inside Your GRC Stack

See How Vero AI Works

Inside Your GRC Stack

See How Vero AI Works

Inside Your GRC Stack

Outcomes

What Changes for Your GRC Team

Before

With Vero AI

Control testing varies by reviewer and engagement

check

Same control logic applied every time, by every reviewer

Evidence interpretation lives in tribal knowledge and email threads

check

Every evaluation tied to control logic and source evidence

Findings hard to defend without redoing the work

check

Every finding ready for auditor review with rationale attached

Each framework tested in its own cycle, start to finish

check

Every framework runs at the same time — one cycle, multiple outputs

Adding a framework extends the timeline

check

Adding a framework adds a parallel lane — not more calendar time

Who It's For

Built for Teams Running Multi-Framework Programs

Multi-Framework Compliance Teams

Managing overlapping obligations across SOC 2, ISO, NIST, custom internal frameworks, and more — without running each sequentially.

Internal Audit Teams

Running hundreds of controls across multiple frameworks and business units with limited capacity.

Audit and Advisory Firms

Delivering compliance engagements across multiple frameworks for clients at scale.

~60%

reduction in duplicate control testing

Multi-Framework Compliance Teams

One cycle. Every framework. No duplication.

Upload evidence once — Vero AI maps it to every framework it satisfies

Overlapping controls evaluated once, credited across all frameworks

Run any framework — SOC 2, ISO, NIST, or your own — in the same cycle, not back-to-back

Multi-Framework Compliance Teams

Managing overlapping obligations across SOC 2, ISO, NIST, custom internal frameworks, and more — without running each sequentially.

~60%

reduction in duplicate control testing

Multi-Framework Compliance Teams

One cycle. Every framework. No duplication.

Upload evidence once — Vero maps it to every framework it satisfies

Overlapping controls evaluated once, credited across all frameworks

Run any framework — SOC 2, ISO, NIST, or your own — in the same cycle, not back-to-back

Internal Audit Teams

Running hundreds of controls across multiple frameworks and business units with limited capacity.

Audit and Advisory Firms

Delivering compliance engagements across multiple frameworks for clients at scale.

Multi-Framework Compliance Teams

Managing overlapping obligations across SOC 2, ISO, NIST, custom internal frameworks, and more — without running each sequentially.

~60%

reduction in duplicate control testing

Multi-Framework Compliance Teams

One cycle. Every framework. No duplication.

Upload evidence once — Vero maps it to every framework it satisfies

Overlapping controls evaluated once, credited across all frameworks

Run any framework — SOC 2, ISO, NIST, or your own — in the same cycle, not back-to-back

Internal Audit Teams

Running hundreds of controls across multiple frameworks and business units with limited capacity.

Audit and Advisory Firms

Delivering compliance engagements across multiple frameworks for clients at scale.

Integrations

Integrates with the GRC Stack You Already Run

Vero AI connects to the systems your team already logs into every day — enterprise GRC platforms and modern compliance-automation tools alike. Documented APIs read evidence from your system of record and write evaluated controls and workpapers back. No rip-and-replace. No new system of record. Control owners, auditors, and program managers stay in the tools they know — Vero AI does the evaluation work in between.

Fewer log-ins — evidence flows in, results flow out.

No rip-and-replace — your GRC platform stays the system of record.

API-first — every integration is documented and versioned, not UI-scraped.

Integrates With

GRC Platforms

OneTrust

Optro (formerly AuditBoard)

ServiceNow GRC

MetricStream

Workiva

Diligent

Compliance Automation

Drata

Vanta

Hyperproof

LogicGate

NAVEX

Riskonnect

Additional connectors available on request. Names listed signal API compatibility, not partnership endorsement.

FAQs

GRC with Vero AI

Our Deep Analysis engine is framework-agnostic, so adding one is a control-library exercise, not a retraining exercise. Ready today: SOC 2 (AICPA Trust Services Criteria), ISO 27001 (Information Security Management), ISO 9001 (Quality Management), NIST CSF (risk-based cybersecurity), HIPAA (U.S. healthcare data protection), and NDIS (regulatory scheme). Ready with a 1–3 month VPC deployment: CMMC (Cybersecurity Maturity Model Certification). Available to pilot: SOX (Sarbanes-Oxley financial reporting controls). Custom frameworks — internal control libraries, regional regulations, industry-specific standards — can be scoped on request.

No. Vero sits on top of your GRC platform. Your controls, policies, and audit history stay where they are. Vero reads evidence from that system, evaluates it across every framework it applies to, and writes results back.

GRC platforms are strong as systems of record and workflow. They were not purpose-built for evidence evaluation. Vero AI is. We focus on one job — evaluating evidence against controls, concurrently across every framework in scope — and we do it deeper than a general-purpose GRC AI can.

Enterprise controls by default — SSO, SAML, role-based access, data residency controls, and SOC 2 Type II in progress. Evidence stays inside your tenant or the GRC platform it came from. Vero AI operates under your access policies.

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Ready to stop testing the same control for every framework?

See how Vero AI for GRC evaluates evidence across every framework in scope, in one pass.

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