AuditoAgent

The Architecture

AuditoAgent solves the operational bottleneck of manual Corporate Sustainability Due Diligence Directive (CSDDD) compliance audits by merging deterministic data orchestration with advanced cognitive AI.

Orchestration Layer: n8n workflows managing secure REST API data ingestion from internal corporate networks.
AI Core Engine: Asynchronous Python Multi-Agent System (MAS) evaluating unstructured corporate datasets in parallel.
Privacy Guard: Local Named Entity Recognition (NER) models applying strict PII and corporate secret masking prior to cloud analysis.

Why Google Cloud & Vertex AI?

Our heavy token-processing requirements make Google Cloud the only viable infrastructure for our MVP:

Massive Context Windows: The Gemini 1.5 Pro API is required to ingest and maintain long-context coherence across 100+ page sustainability PDFs.
Asynchronous Scalability: Vertex AI natively supports our multi-agent parallel processing loops.
Enterprise Security: Strict adherence to EU data residency and compliance protocols.

Development Roadmap

Q3 2026 [Current] Core infrastructure deployment, Google Cloud integration, and local NER masking model training.

Q4 2026 Multi-Agent System (MAS) stress testing with Gemini API on synthetic corporate datasets.

Q1 2027 Closed Beta and initial Enterprise Pilot launches.

Autonomous Multi-Agent Platform for Enterprise ESG & CSDDD Compliance

The Architecture

Why Google Cloud & Vertex AI?

Development Roadmap