LedgerAI
Product-level AI compliance across the EU, United States, and South Africa.
LedgerAI maps regulations to AI products, obligations to controls, and controls to evidence. Built for engineering teams, legal leaders, and risk professionals who need deterministic compliance-not guesswork.
AI regulation is no longer abstract.
AI regulation has fragmented across jurisdictions. The EU AI Act, US sectoral frameworks, and South African governance requirements each impose distinct obligations-but all demand product-level accountability.
Most compliance tools operate at company level, offering generic checklists that disconnect legal obligations from engineering reality. When regulators ask, "How does this specific AI product satisfy this specific requirement?"-teams struggle to provide traceable answers.
The result: compliance theater that satisfies neither legal scrutiny nor engineering rigor.
How LedgerAI Works
Compliance that behaves like a system.
LedgerAI establishes a complete traceability chain from regulation to proof. No scoring algorithms. No black boxes. Just deterministic logic that connects what the law requires to what your product implements.
Regulation
A regulation applies to your AI product based on jurisdiction and use case.
Obligation
Specific obligations exist that your product must satisfy.
Control
Technical or procedural controls implement the obligation.
Evidence
Documented proof that the control is implemented and effective.
Core Principles
Designed for accountability, not optics.
Product-Level Granularity
Compliance is mapped to individual AI systems and features-not company-wide abstractions. When regulators ask about a specific product, you have specific answers.
Deterministic Logic
No proprietary risk scores. No opaque "AI ethics" ratings. Just transparent mappings between legal requirements and engineering controls.
Built for Both Disciplines
Engineers see technical controls and evidence requirements. Legal sees regulatory obligations and article references. Both work from the same data.
Multi-Jurisdiction from Day One
EU, US, and South Africa regulations are built into the system. Operate across borders without recreating your compliance framework for each market.
Jurisdictions
Built for real regulatory environments.
European Union
The EU AI Act establishes comprehensive product-level obligations based on risk classification. LedgerAI maps your AI systems to the correct risk tier and surfaces applicable requirements-from transparency obligations to conformity assessments.
United States
US AI regulation operates sectorally-NIST frameworks, state laws, and industry-specific requirements. LedgerAI tracks obligations across federal guidance, state mandates, and vertical regulations relevant to your product's deployment context.
South Africa
South African AI governance includes POPIA data protection requirements and emerging AI-specific frameworks. LedgerAI provides product-level compliance for organizations operating in or serving South African markets.
REGULATION WATCH
Why AI compliance is shifting from policy to systems
LedgerAI Editorial Desk
For the past decade, AI governance operated primarily through principles and policies. Organizations adopted ethical frameworks, published AI principles documents, and established review boards. These efforts were not without value-they signaled intent and established baseline expectations.
But principles alone do not satisfy regulatory requirements. The EU AI Act does not ask, "Do you have an ethics policy?" It asks, "Does this specific AI system satisfy Article 13's transparency requirements?" US state laws do not audit principles-they audit deployed systems.
The shift from policy to systems-level accountability means compliance must operate at the product level. Spreadsheets tracking company-wide initiatives cannot answer, "Which control satisfies which obligation for which product?" This is not a tooling problem. It is a structural problem that requires rethinking how compliance work is organized.
FIELD OBSERVATION
When compliance exists, but evidence doesn't
A company deploys a recommendation engine. Legal reviews the product and determines that EU AI Act transparency obligations apply. The product team implements a user-facing notice. Compliance is satisfied. Documentation exists.
Six months later, the engineering team refactors the UI. The notice is inadvertently removed. No one realizes until an audit request arrives. The company has documentation of the original implementation but cannot prove current compliance.
This is not a failure of intent. The legal team did their work. The engineers did their work. But the connection between regulatory obligation and product implementation was maintained in documents-not in a system that could flag when evidence drifted from reality.
How does compliance remain synchronized with the systems it governs?
SYSTEMS VIEW
How LedgerAI structures compliance work
Teams
Used where accountability matters.
Engineering Teams Shipping AI
See which controls your product must implement. Track evidence requirements. Understand regulatory obligations in technical terms. Ship with confidence that compliance is documented before deployment-not retroactively.
Legal & Compliance Leaders
Map regulations to products without endless spreadsheets. Verify that controls actually satisfy legal obligations. Generate audit-ready documentation that traces from statutory text to implemented controls.
Risk & Governance Teams
Monitor compliance status across all AI products. Identify gaps before audits. Demonstrate to boards and regulators that your organization operates with systematic accountability-not ad hoc processes.
Audit Mode
Always ready to explain your decisions.
When regulators, auditors, or internal governance teams ask questions, Audit Mode provides read-only exports of your complete compliance posture. Every obligation linked to its control. Every control linked to its evidence. Every decision traceable.