The AI Control Checklist — Emily Hartstone
Free Resource — Emily Hartstone

Before you deploy AI —
ask these 10 questions.

Most businesses are moving fast on AI. Few are asking whether they have the control infrastructure to back it up. This free checklist gives you the framework to find out — before something goes wrong.

  • Know exactly what your AI is — and is not — authorized to do
  • Map every system, workflow, and dataset your AI can touch
  • Understand the difference between AI safety and AI control
  • Score your current posture honestly — before consequence requires it
10 Questions across 5 domains
01Do you know exactly what your AI system is authorized to do — and what it is not?
02Who in your organization has the ability to approve, pause, or revoke AI-initiated actions in real time?
03Have you mapped every system, workflow, or dataset your AI can touch?
05Is there a human review layer before high-stakes actions execute — or does it happen automatically?
+6…and 6 more questions inside across Governance, Readiness, and Strategy
What your score means
0–3
High Exposure

Your AI deployment is running ahead of your governance infrastructure. The risk is real and likely already present.

4–7
Partial Control

Foundations in place, but significant gaps remain. The areas where you scored 0 are structural vulnerabilities, not minor omissions.

8–10
Strong Posture

Meaningful AI control infrastructure in place. The work now is maintaining and evolving it as your systems scale.

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Control isn't the absence of risk.
It's the presence of clarity — before consequence requires it.
— Emily Hartstone

From Emily Hartstone — founder, strategist, and builder of runtime control infrastructure for enterprise AI.

EH

Emily Hartstone, MBA

Founder, From The Hart Management LLC
Runtime Authority Control LLC · Hartstone Institute · Emily Hartstone

emilyhartstone.com hartstoneinstitute.com