Technology · AI Agents

Run Every Audit Cycle on Seven Specialized AI Agents

Vero AI is AI Audit Software, built on a seven-agent architecture — purpose-built for evidence evaluation, controls testing, and audit-ready workpaper generation.

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100+ Audit Hours Saved

per engagement

Higher Scoring Accuracy

across every control

Full Vendor Coverage

from day one

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.

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How the AI engine works

Ten smart steps—from ingesting your documents to double‑checking every insight—turn raw evidence into audit‑ready scores, all inside one secure platform.

01

Document Ingestion Architect

Pulls content from PDFs, docs, and sites

Intelligent Ingestion Engine

Watches folders, ingests new files,
starts the pipeline

02
03

Semantic Dissection Engine

Splits content into context‑aware chunks

Contextual Embedding Engine

Turns chunks into rich embeddings
for fast search

04
05

Dynamic Relevance Optimizer

Ranks chunks so only high‑value data moves on

Relevance Evaluation Processor

Maps embeddings to control criteria, checks fit

06
07

Quantitative Scoring Engine

Assigns numerical scores that
auditors can trace

Insight Synthesis Module

Converts scores into clear findings
and summaries

08
09

Strategic Guidance Orchestrator

Recommends next steps to close gaps

Cognitive Validation Module

Cross‑checks outputs to block hallucinations

10

  • Vero AI has built a platform that is miles ahead of everything else on the market. They understand AI at a level of few others in the industry.

    Ben Waber, PhD

    Visiting Professor MIT Media Lab

Ready to experience the future of audit?

See how Vero AI encodes professional judgment to deliver consistent, defensible findings — at enterprise scale.

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