Use Cases

Governance for High-Risk AI Workflows

In regulated environments, AI failures aren't just technical problems — they're compliance violations, regulatory exposure, and institutional risk. Mirror OS provides governance where it matters most.

The Stakes Are Different in Regulated Environments

When AI makes decisions about customer identities, transaction approvals, or financial advice, every action must be explainable, attributable, and auditable. “The AI decided” is not an acceptable answer to regulators.

KYC / Onboarding

Critical Risk

Multi-agent workflows for document extraction, identity verification, and risk assessment require governance at every handoff.

Without Governance

  • PII exposure across agent boundaries
  • Decision logic opacity in approval chains
  • Audit trail gaps in multi-step verification

With Mirror OS

Complete audit trail from document intake to final decision, with policy enforcement at every step.

Fraud / AML Triage

Critical Risk

AI-driven transaction monitoring and suspicious activity analysis demand real-time compliance enforcement and evidence preservation.

Without Governance

  • False negatives with regulatory consequences
  • Attribution gaps when violations occur
  • Reasoning collapse in complex analysis chains

With Mirror OS

Real-time policy enforcement with immutable evidence for every flagged transaction.

Regulated Customer Service

High Risk

Customer-facing AI in financial services must maintain compliance language, required disclosures, and consistent policy application.

Without Governance

  • Unauthorized financial advice
  • Missing required disclosures
  • Inconsistent policy application across agents

With Mirror OS

Every customer interaction governed for compliance, with complete conversation audit trails.

Have a Different Use Case?

Mirror OS is designed for any high-risk AI workflow in regulated environments. Let's discuss your specific governance requirements.