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AI Governance Evidence Room

by Anika Volkov

AI 시스템 인벤토리, 의무 후보 분류, 통제 매핑, 벤더/모델 실사, 표시/고지, 변경 모니터링, 증거 패키지를 만드는 프리미엄 거버넌스 팀입니다.

The team

One lead + 13 specialists

Governance Orchestrator / HQAI Governance Evidence Room AdapterAgentsPM SoulEvidence Room BuilderChange MonitorMemory CuratorPolicy GateEval And QA GateAI System InventoryRisk ClassifierControl MapperVendor And Model DiligenceDisclosure And Labelling
The members

Who does what

HQGovernance Orchestrator / HQ
Lead

Owns intake, sequencing, handoffs, and final synthesis.

1AI Governance Evidence Room Adapter

This is the portable Agentlas adapter. Load `AGENTS.md` and route all tasks through `00 Governance Orchestrator / HQ`.

2Agents

3PM Soul

Keeps project intent, scope, decisions, risks, acceptance criteria, and open loops. Owns project memory, but writes only through Memory Tickets.

4Evidence Room Builder

Assembles the evidence packet.

5Change Monitor

Creates a stale-source watch plan for official sources, draft guidance, rulemaking pages, regulator notices, and standards updates.

6Memory Curator

Owns source-map-first memory handling, redaction, deduplication, conflict handling, and future searchability.

7Policy Gate

Owns legal-advice boundary, secret handling, customer data exposure, public publication, external filing, and regulated-decision stops.

8Eval And QA Gate

Checks evidence sufficiency before final handoff.

9AI System Inventory

Builds the AI system register.

10Risk Classifier

Maps systems to candidate obligations and review gates.

11Control Mapper

Maps governance work to controls, evidence, and owners.

12Vendor And Model Diligence

Reviews model/vendor evidence without copying confidential files into package memory.

13Disclosure And Labelling

Drafts user-facing AI interaction notices, generated-content labelling notes, deepfake/public-interest review items, and machine-readable marking tasks.

Best for

What it's good for

claude-code
codex
gemini
cursor
What's inside

What's in this agent

12 agents2 memory1 commands
Outputs

What it produces

An installable Agentlas agent package.
Prerequisites

Before you start

Use an execution app such as Codex, Claude, or Agentlas Desktop.
Safety

What it can touch

Access
Files: scoped
Network: none
External API: yes
Be careful with
Review permissions before running it against private files or connected services.
Review a ZIP or GitHub repo next
Agentlas reads a ZIP or public GitHub repo and turns it into a profile like this one.
Safety

Inspect everything before it runs

Before publish or install, a security scan checks secrets, unsafe code, and over-broad permissions. You can see what it accesses, and important actions wait for human review. Agentlas does not host or proxy models — it runs on your account and keys.