AI Governance & EU AI Act

AI systems must be controlled, explainable, and auditable.

I help teams classify AI risk, design governance models, define human oversight, and create audit-ready documentation for AI-enabled workflows.

RISK

Risk classification

Map AI use cases, users, affected persons, decision impact, and likely governance obligations.

GOV

Governance model

Define roles, responsibilities, review points, controls, policy requirements, and operational limits.

HITL

Human oversight

Design review, override, escalation, and accountability flows for AI-assisted outputs.

LOG

Logging

Capture prompts, outputs, model usage, critical decisions, review actions, and evidence events.

MAP

AI compliance map

Turn AI usage into a reviewable map of risk level, controls, documentation, and missing evidence.

DOC

Audit-ready documentation

Produce documentation that supports internal governance, procurement, and future regulatory review.

Deliverables

AI compliance map, risk level, and audit-ready documentation.

The work makes AI use explainable to management, customers, and auditors.

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