\Augmented Ontological-Semantic Platform 

Value Proposition

A-OSP (Augmented Ontological-Semantic Platform) is an open-source framework designed for the autonomous generation and management of corporate compliance documents and analyses through epistemic methodologies and artificial intelligence (AI).

The primary goal of A-OSP is to systematically produce audit-ready compliance assets such as the Organization, Management and Control Model pursuant to Italian Legislative Decree 231/01, as well as Risk Assessments and Gap Analyses, thereby ensuring robust corporate legal posture. The robustness of generated artifacts is assured through complete transparency of the generation process, full traceability of each epistemic phase (analysis, processing, and reprocessing), and the deployment of advanced prompt-engineering techniques using generative language models (LLMs). 

This process is underpinned by a proprietary knowledge base aligned with recognized international standards, including ISO 31000 (Risk Management), ISO 37001 (Anti-bribery), ISO 27001 (Information Security), the COSO Framework, ANAC guidelines, and the U.S. DOJ (Department of Justice) compliance recommendations.

Inputs required by the framework must necessarily be provided truthfully, accurately, and comprehensively by personnel holding appropriate organizational roles and responsibilities (Company Owners, Board of Directors, C-Level executives, senior management, and directors).

While A-OSP necessarily involves internet communication for interactions with AI services (LLMs), data confidentiality is fully guaranteed by employing a strict local-first methodology: all documents and data inputs are tokenized, fragmented, anonymized, de-structured, and semantically de-correlated prior to transmission via API to AI services.

Only locally, through the framework's internal semantic and epistemic correlation logic, are these fragments recomposed to generate coherent and meaningful compliance artifacts. 

In addition to process confidentiality—which A-OSP fully guarantees and documents—the use of enterprise-level licensing for AI solutions (LLMs) ensures an additional layer of privacy, explicitly preventing framework inputs and outputs from being used by AI providers for further machine learning or processing purposes. 

Such privacy terms are generally guaranteed by major global LLM providers; however, users are advised to verify specific contractual conditions of their enterprise license agreements. Enterprise licenses are not inexpensive (as of mid-2025: approximately €100-200 per month, API calls excluded), but considering compliance documents are typically produced one-time or infrequently, subscriptions can be managed accordingly (e.g., subscribing for just one month), after which all generated outputs are fully editable and manageable locally through common office software solutions.

Finally, A-OSP has no login or authentication system, thus enabling unrestricted access and use by any user. Additionally, a built-in demo mode (e.g., "Random Italian SME") is available, allowing users to observe the complete epistemic compliance process in action, dynamically generating full sample documents without entering any real corporate information.

Currently focused on the Italian Legislative Decree 231/01, A-OSP's roadmap already includes expansion to further national and European regulatory frameworks.