Using LEIs to Build Reliable AI Systems

In a world rushing to deploy AI, one critical element of reliability is often overlooked: ensuring your data truly represents the correct entity.

AI’s Hidden Weakness: Unclear Identity

Artificial intelligence promises insight and answers, but it cannot fix bad data. Across finance, ESG, and supply chain analytics, organizations rely on AI models that depend on consistent, high-quality data, yet entity information remains fragmented and messy. The same company may appear under several names or IDs across systems, leaving models to guess which records refer to the same organization.

That uncertainty undermines explainability and reliability. If a model cannot distinguish who is who in its inputs, how can its outputs be trusted? One answer lies with a simple foundation: the Legal Entity Identifier, or LEI.

What the LEI Brings to AI

The LEI is a globally standardized 20-character code that uniquely identifies legal entities participating in financial or commercial activities. Each LEI is linked to verified reference data, such as an entity’s legal name and jurisdictional registry information, and is maintained by accredited issuers, including Bloomberg, under the oversight of the Global Legal Entity Identifier Foundation (GLEIF).

In practical terms, the LEI is a digital anchor for corporate identity: open, machine-readable, and globally consistent. It allows organizations and their AI systems to know exactly which entity a record belongs to, across jurisdictions and data sources.

Making AI Explainable and Reliable

Modern AI regulations, from the EU AI Act to NIST’s AI Risk Management Framework, emphasize explainability and traceability. LEIs directly enable:

Traceable Data Lineage: Every LEI includes metadata such as its issuing authority and renewal date, letting organizations track data origins and verify authenticity.
Accurate Entity Linking: AI models can merge records from different datasets under a single identifier, reducing duplication and error.
Auditability and Accountability: LEI-linked data provides an auditable trail that ties AI outputs back to verified sources which is a foundation for responsible governance.

In short, the LEI gives AI something it rarely has: a trustworthy representation of “who.”

Where LEIs Already Add Value

Financial Risk and Compliance
Banks use LEIs to identify counterparties and aggregate exposures across portfolios, improving the accuracy of risk models and regulatory reporting.

ESG and Sustainability Analytics
AI-driven ESG systems benefit when corporate disclosures, emissions data, and ownership structures are tied to verified entities through LEIs, ensuring that sustainability insights point to the right companies.

Supply Chain Visibility
Manufacturers and logistics firms use AI to map supplier networks. Linking vendor data to LEIs uncovers hidden dependencies and improves resilience modeling.

Data Vendors and Infrastructure
Market data providers increasingly integrate LEIs to enhance cross-source consistency and support model validation.

Why Identity Matters for Explainable AI

Explainability does not end with understanding how a model works, it starts with knowing where its data came from. If datasets cannot reliably identify their entities, even transparent algorithms produce questionable results.

By embedding LEIs into data pipelines, organizations gain a common identity language. That clarity makes AI outputs more interpretable, reproducible, and defensible while aligning with growing expectations from regulators and investors alike.

Challenges and Momentum

LEI adoption still has some gaps, as many private and non-financial organizations do not yet have LEIs. However, momentum is growing to fill those gaps. Regulators, data vendors, and AI governance frameworks are increasingly aligning around this standardized identifier as the bedrock of trustworthy automation.

Building Trust, One Identifier at a Time

AI systems can deliver poor results not because algorithms are weak, but because the data beneath them is unclear. The Legal Entity Identifier helps solve that by bringing transparency, consistency, and traceability to corporate data.

In an era where explainable AI is becoming a regulatory expectation and a market differentiator, the LEI offers something every model needs: a shared, verifiable understanding of who’s who in the digital economy.

Get Started with Your LEI

Organizations that need to register, renew, or manage their Legal Entity Identifiers can do so directly through Bloomberg LEI at https://lei.bloomberg.com. As a GLEIF-accredited issuer, Bloomberg provides a streamlined process for obtaining and maintaining LEIs; ensuring that your entity data remains accurate, up to date, and ready to power reliable AI systems.