Compliance & Audit

AI agents your compliance team will actually approve

Human-in-the-loop approvals, immutable audit trails, and deterministic testing โ€” built into the framework, not bolted on.

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The Problem

Why teams stall

Black-box AI decisions

Regulators require explainability. Most agent frameworks stream opaque outputs with no audit trail.

No human gate before action

SOX, HIPAA, and GDPR demand human approval before consequential actions. Retrofitting interrupts is a rewrite.

Untestable agent behavior

Compliance needs reproducible test evidence. Non-deterministic LLM calls make that nearly impossible without the right tooling.

The Architecture

Three libraries. One solution.

Three libraries give your compliance team what they need โ€” without slowing your engineering team down.

Agent@ngaf/langgraph

Signal-native streaming with first-class interrupt support. Every agent action can require human approval before execution. Thread persistence gives you a complete, immutable history of every decision.

Explore Agent โ†’
Render@ngaf/render

Approval workflows rendered as structured UI โ€” not chat messages. The agent proposes an action, renders a confirmation card, and waits for the human gate before proceeding.

Explore Render โ†’
Chat@ngaf/chat

Debug overlay shows every tool call, interrupt, and state transition. Your compliance team can review exactly what happened, when, and why โ€” in a UI they can understand.

Explore Chat โ†’

The Results

What you can expect

100%

Audit trail coverage โ€” every agent action logged

0

Unapproved actions โ€” interrupt gates block execution

<5 min

Time to reproduce any agent decision for auditors

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What's Inside

From Prototype
to Production

The Angular Agent Readiness Guide. Six chapters. Six production-readiness dimensions. What separates demos from shipped products.