Solvency II

An international regulatory framework developed by the Basel Committee on Banking Supervision that sets minimum capital requirements, leverage ratios, and liquidity standards for banks. Basel III was introduced in response to the 2008 financial crisis and requires banks to hold higher-quality capital (primarily Common Equity Tier 1) against risk-weighted assets, including operational risk and market risk.

The framework of policies, procedures, and organisational structures that guide the responsible development, deployment, and monitoring of artificial intelligence systems. AI governance encompasses risk management, ethical guidelines, regulatory compliance, model validation, and accountability mechanisms.

A quantitative rating assessing a company's performance and risk exposure across environmental, social, and governance criteria, typically assigned by specialist rating agencies such as MSCI, Sustainalytics, and S&P Global. ESG scores increasingly influence investment decisions, cost of capital, and regulatory compliance, and are becoming a material factor in business valuations and due diligence.

A framework for evaluating a company's performance across environmental impact, social responsibility, and corporate governance practices. ESG factors are increasingly material to valuation, investor mandates, and regulatory compliance, and intersect with intangible asset categories such as reputation and organisational capital.

The framework of policies, standards, and processes that ensures data assets are managed consistently, securely, and in compliance with regulations throughout their lifecycle. Strong data governance increases the reliability and value of data as an intangible asset, directly supporting analytics, AI applications, and data monetisation strategies.

The principle that data is subject to the laws and governance structures of the country in which it is collected or stored. Data sovereignty requirements affect cloud computing architecture, cross-border data transfers, and vendor selection, particularly in light of GDPR restrictions on transfers to countries without adequate data protection standards.

A visual and analytical framework that reconciles the difference between two valuations — typically entry and exit, or book value and market value — by attributing value changes to specific drivers such as revenue growth, margin improvement, multiple expansion, and intangible asset creation. Value bridges are widely used in private equity reporting and portfolio company management.

A controlled regulatory environment established by a financial regulator that allows fintech companies to test innovative products, services, or business models with real customers under relaxed regulatory requirements and close supervisory oversight. The UK Financial Conduct Authority pioneered the concept in 2016, and sandbox programmes now operate in over 50 jurisdictions worldwide.

What is responsible AI and why does it affect enterprise value?

Responsible AI is the practice of developing and deploying AI systems that are fair, transparent, accountable, and privacy-preserving — it affects enterprise value by reducing regulatory risk and building stakeholder trust.

How do you create and manage a portfolio of companies in Opagio?

Opagio's portfolio feature lets investors and fund managers add multiple companies, track their intangible asset values over time, compare benchmarks, and generate consolidated portfolio-level reports.

What AI governance frameworks should companies adopt?

Companies should adopt AI governance frameworks covering ethical principles, risk management, transparency, accountability, and compliance — drawing from standards like the EU AI Act, NIST AI RMF, and ISO/IEC 42001.