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AuditPilot

AuditPilot is a self-hosted Python AI-agent workbench for audit delivery, combining evidence retrieval, governed tool execution, control testing, evaluation, human review and remediation in traceable workflows.

Independent OpenViST project profile, based on linked sources.

AuditPilot — OpenViST project profile in Workflow Agents.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use AuditPilot when an audit project needs evidence gathering, control testing, review and remediation connected in one traceable workspace, or when a team wants to adapt the included audit templates.

Who it is for

  • Audit teams organizing evidence requests, control tests and findings.
  • Organizations that want to adapt audit workflows to their own standards, controls and evidence sources.
  • Teams evaluating agent outputs and routing uncertain or evidence-deficient results for review.

Documented uses

  • Retrieve audit evidence with source references and identify missing or conflicting material.
  • Build control matrices, sampling plans and test procedures from versioned templates.
  • Track findings, remediation owners, due dates, status and review comments.
  • Evaluate agent tasks, traces, tools, evidence and permissions before release.
Before you choose

Requirements & limits

The repository is public and marked open source. It documents local startup on Python 3.10 or newer. No license is specified in the repository metadata.

  • Default retrieval uses TF-IDF and keyword search; semantic embeddings are optional.
  • A model key is not required for the documented deterministic fallback mode.
  • Production or shared network use requires enforced security configuration, bearer tokens and an audit-log signing key.
  • Optional integrations include MySQL, Neo4j and local semantic embeddings.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Start AuditPilot locally

Prepare and launch the documented local application.

Before you start

  • Python 3.10 or newer
  • The project repository and its requirements file

Steps

  1. Create and activate a Python virtual environment.

  2. Install dependencies with pip install -r requirements.txt.

  3. Copy config.env.example to config.env.

  4. Run python start.py and open the address printed in the terminal.

Expected outcome

The local application starts; the README says it can run in deterministic fallback mode without a model key.

Guide limitations

  • This guide covers local startup, not production deployment.
  • Shared or network deployment requires enforced security mode, managed bearer tokens and an audit-log signing key.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
16 October 2026
Original website title
Ricky-7-Yan/intelligent-audit-system · Official homepage title · retained in its source language