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Compliance & Audit App

LedgerAI tracks your POPIA, GDPR, FSCA and EU AI Act obligations on iPhone, iPad, Mac and the web, and turns it into a cryptographically-signed audit any regulator can verify without an account.

In the iPhone, iPad and Mac apps, a Copilot answers your compliance questions with citations. Drift is measured each time you re-check against a saved baseline, and the Audit Pack is a signed file you hand over - not a login.

Free for individuals · on iPhone, iPad & Mac · verify a signed pack →

What LedgerAI Does

Track. Sign. Verify.

LedgerAI is a compliance & audit app for iPhone, iPad and Mac. It keeps your regulatory posture current, then turns it into proof a regulator can independently trust.

01

Track

Map every POPIA, GDPR, FSCA and EU AI Act obligation to a control and its evidence, on iPhone, iPad, Mac or the web. In the Apple apps, a Copilot answers in plain language and cites the exact obligation it relied on.

02

Sign

Generate an Audit Pack and sign it on your device with a Face ID or Touch ID check. The signature seals your compliance posture as of that date - a signed record, not a screenshot.

03

Verify

Hand the signed pack to any regulator. They confirm it is authentic and untampered using the public verifier - no LedgerAI account, no upload, nothing leaves their browser.

Proof that doesn’t depend on us. A signed Audit Pack is checked in the auditor’s own browser: no LedgerAI account, no upload. When you sign in, your evidence and controls sync to your LedgerAI account, stored with Google in the United States (not end-to-end encrypted), so they’re the same on every device. If your policy is that audit data never leaves your environment at all, the self-hosted org-audit agent runs the audit inside it: credentials and raw data stay with you, and LedgerAI receives only the signed pack’s hash and redacted summaries.

Inside the App

What you get.

Frameworks that matter

POPIA, GDPR, FSCA and the EU AI Act - each obligation traced to a control and the evidence that proves it. The self-hosted org-audit agent can also tag the evidence it collects to SOC 2 and ISO 27001 controls.

AI Copilot with citations

In the iPhone, iPad and Mac apps, ask a plain-language question and get a cited answer that points to the exact obligation, control or law article in your own workspace. Answers are generated on the device, with Apple Intelligence where your hardware supports it.

Drift detection

Save a baseline, then re-check: LedgerAI compares the new result against it and tells you what held, what weakened, and what broke. If you schedule the org-audit agent on your own cron, each run reports the same way - so you fix gaps before an auditor finds them, not after.

A signed Audit Pack & public verifier

One tap produces a Face ID-signed Audit Pack. Anyone can confirm it’s authentic and untampered at the public verifier - no account, no upload, fully client-side.

Who It's For

Built for the people who answer to regulators.

Compliance officers, founders, and regulated South African and international businesses - anyone who has to prove their posture, not just claim it. Financial services, health, SaaS, and AI-product teams use LedgerAI to walk into an audit with a file, not a panic.

Individuals and small teams use the app free, with every framework included. Organisations that need the audit to run inside their own environment use the sovereign org-audit agent. See pricing.

Compliance is no longer abstract.

Regulation has fragmented across jurisdictions. POPIA and the FSCA at home, GDPR and the EU AI Act abroad - each imposes distinct obligations, but all demand accountability you can actually evidence.

Most compliance tools live in spreadsheets and dashboards that disconnect legal obligations from operational reality. When a regulator asks, “How exactly do you satisfy this requirement, and can you prove it?” - teams struggle to give a traceable, trustworthy answer.

The result: compliance theatre that satisfies neither the auditor nor the business. LedgerAI replaces it with a signed record anyone can verify.

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.

01

Regulation

A regulation applies to your business based on jurisdiction and what you do.

02

Obligation

Specific obligations exist that your organisation must satisfy.

03

Control

Technical or procedural controls implement the obligation.

04

Evidence

Documented proof that the control is implemented and effective.

Deterministic compliance: Every obligation traces to a control. Every control traces to evidence. Every decision is auditable.

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.

EU

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.

US

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.

ZA

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

PRODUCT
Recommendation Engine v2.1
REGULATIONEU AI Act
OBLIGATIONArticle 13
CONTROLUI Notice
EVIDENCEScreenshot + Code
Figure 1. The product serves as the anchor point. All compliance work-obligations, controls, evidence-is mapped to specific AI products, not company-wide abstractions.

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.

Complete traceability chain
Evidence verification status
Control effectiveness metrics
Jurisdiction-specific compliance views
Next Steps

Make your next audit a file, not a fire drill.

Free on iPhone, iPad, Mac and the web. No subscriptions.