Official Track — Post UN Global Dialogue on AI Governance Presentation

IFRS for AI: Toward a Financial Governance Framework for AI Assets and Sovereign Capital Protection.

A pioneering systemic baseline built to recognize, measure, disclose, and govern Artificial Intelligence assets, ensuring structural corporate alignment with standard asset evaluation methodologies.

The Four Framework Pillars

Bridging raw computational neural pipelines with systemic institutional and corporate transparency metrics.

01 / RECOGNIZE

Asset Identity

Formalizing methods to register custom model weights, structural fine-tuning parameter stacks, and secure proprietary knowledge bases as identifiable intangible assets.

02 / MEASURE

Valuation & Compute

Defining concrete metrics to calculate continuous asset cost validation based on compute overhead infrastructure investment, dataset cleansing variables, and targeted application lifecycle length.

03 / DISCLOSE

Standard Disclosure

Structuring baseline reporting guidelines for models in use, covering infrastructure carbon tracking metrics, operational safety latency bounds, and verifiable data pipeline heritage logs.

04 / GOVERN

Agentic Guardrails

Enabling automated multi-agent operational software engines to dynamically monitor running infrastructure workflows, maintaining real-time alignment with standard financial criteria.

Resource Repository

Access our foundational slide decks, policy briefs, and technical execution frameworks directly below.

CONCEPTUAL CHARTER

Foundational Proposal

The baseline framework introducing the synchronization of standard financial asset accounting with corporate machine learning models.

View the Foundational Proposal →
OFFICIAL SLIDE DECK

Geneva Presentation Suite

The official panel slides prepared for our collaborative session with DocsOrb at the inaugural UN global dialogue event.

View Geneva Slides →
IMPLEMENTATION FRAMEWORK

Core Technical Whitepaper

A comprehensive manual detailing asset assessment equations, fine-tuning data parameters, and automated auditing templates.

Read Our Whitepaper →

Operational Validation

Moving compliance structures from static rule documentation into automated cloud orchestration execution pipelines.

Enterprise System Tooling

The IFRS for AI framework operates alongside modern tech stack integrations to transform compliance theory into real-time operational system behavior.

Native Gemini Large Model Integrations
Vertex AI Governance Protocols
Automated Compliance Monitoring Engines

Orchestrated in alignment with early pilot modules developed by Pride AI and Business Solutions, proving framework utility inside high-stakes enterprise data structures.

Global Collaboration Hub

Engage with international standard steering panels, apply to run corporate infrastructure pilots, or coordinate joint policy expansions.