---
title: "Auditing & Knowledge Platform with Agentic AI: Case Study | Volcanic Minds"
description: "Discover how we built an auditing platform powered by Agentic AI to automate data analysis and optimize decision-making. Read the project."
url: "https://volcanicminds.com/en/case-studies/agentic-ai-auditing-knowledge-platform"
lang: "en"
type: "second_level_page"
updated: "2026-06-16"
alternate: "https://volcanicminds.com/case-studies/agentic-ai-auditing-knowledge-platform"
---

# Advanced agentic AI auditing platform

A multi-tenant ecosystem that replaces manual interviews with a contextual AI agent able to conduct complex audits autonomously, reducing time, errors and operating costs for companies that manage certifications, regulations and compliance processes.

## Key numbers

To be successful, a project must have measurable metrics

- **+60%** Data collected
- **88%** Accuracy achieved
- **4h** Hours saved per single audit
- **Isolated** Multi-Tenant

## The challenge

The starting point

Anyone who manages compliance processes — ISO 27001, GDPR, internal audits, industry certifications — knows the problem well: collecting structured data from dozens of different stakeholders is **an activity that devours time**, generates errors and depends on everyone's availability.

The traditional flow works like this: an auditor prepares a questionnaire, sets an appointment, conducts the interview by phone or in person, transcribes the answers, normalizes them, enters them into a system. If a piece of data is missing, you start over. If the contact is an external supplier or a merchant with rigid hours, timelines stretch by weeks.

## The problem we found

The real problem isn't the complexity of the questions. It's **the synchronous model**: two people have to be available at the same moment, speak the same operational language and produce consistent data. Let's be honest: when contacts number 50, 100 or 500, that model simply doesn't scale.

### Eliminate the dependency on time

Let contacts complete the audit whenever they prefer, interacting with an AI agent available 24/7 via magic link and OTP authentication.

### Ensure consistent answers

Define the structure of each audit in advance (text, numeric, yes/no, option, date fields) to obtain immediately usable data without manual normalization.

### Give the AI contextual, not generic, knowledge

The agent is not a generic chatbot: it knows the audit questions, the valid answer types, the history of previous submissions and the manually uploaded documents. This lets it ask targeted questions and guide the contact toward complete and accurate answers.

### Automate the audit lifecycle

From the initial dispatch to recurring scheduling (weekly, monthly), through session tracking, completion-rate monitoring and answer review, all managed from a single dashboard.

## Features under review

Focus on features and solutions

## The entry point

Real-time KPIs

The dashboard is not a decorative panel. It shows the numbers that matter: active audits, sessions sent, completion rate, contacts managed. The stat cards at the top give you the pulse of the situation at a glance. Below, the "Recent Sessions" and "AI Insights" sections let you act immediately where needed, without navigating through menus.

## Without code or complexity

Definition builder

Every audit starts from a "Definition": title, system code, description and a fully configurable question structure. Five field types, free or constrained **(Text, Number, Yes/No, Options, Date)**, cover any data-collection need. Each field has a unique identifier, a text/description and validation parameters (min/max for numbers, required, etc). The order of the questions can be rearranged with drag-and-drop.

## CRM contacts

Categorization and Profiling

It's not a simple list. The system manages complete contacts with: personal data, company information, location, categorization and classification with tags. Each contact shows how many audits they took part in, how many sessions are in progress and how many are completed.

## Dispatch and scheduling

Send today, repeat tomorrow

An audit is created, linked to a contact and sent with one click (_dispatch_). But the real value is** recurring schedulin**g: monthly frequency, day of the month, all configurable. The system automatically sends new sessions according to the schedule, with a one-time code and OTP authentication.

The Audit Details page shows the complete summary: definition used, target contact, email, current status, session history with dates and status.

## Faster audits, more accurate data

Are you managing compliance processes with Excel sheets and phone interviews? Let's talk. Tell us about your scenario and we'll design the solution together.

## Frequently Asked Questions

Questions about the project

### How long does it take to implement a platform like this?

The Auditor project was developed end-to-end (analysis, UX/UI design, backend, frontend, infrastructure) in about 4 months. Real timelines depend on the complexity of the definitions, the creation of auditable templates and the integrations required, but the modular architecture lets you start with a working MVP in 6-8 weeks.

### Which AI providers were used?

The system is multi-provider: today it relies on leading providers like Google, Anthropic, xAI, Mistral, OpenAI, Azure and Bedrock, down to federated or local systems (ollama, OpenRouter, OLLM, ..). The choice of AI provider matters, but in a **future-proof system** it must not and cannot be a binding constraint.

### How does access work for those who have to fill in the audit?

The auditor sends an email with a one-time code. The contact logs in without traditional credentials, authenticates via OTP and interacts directly with the AI agent. No registration, no password to remember: **secure and immediate access**.

### Does the system support recurring audits or only single dispatches?

Both. The built-in scheduling lets you configure frequency (monthly, weekly), day of the month and automatic sending. The platform creates and sends new sessions according to the schedule, without manual intervention. Ideal for periodic compliance audits such as ISO 27001 or GDPR.

### Is it possible to have multiple companies or multiple clients together?

The architecture is fully multi-tenant: each organization has its own isolated workspace with a unique tenant slug, separate data, independent definitions and contacts. A single platform can serve dozens of organizations without conflicts or data-leakage risks.

[Frequently asked questions]
