AI START PLAYBOOK — A Decision-Grade Framework to Approve, Kill, and Defend AI Initiatives

Most AI initiatives fail before the first line of code is written.

Not because models are weak —

but because decisions are undefined,

accountability is diffused,

and failure is ungoverned.

AI Start Playbook exists to stop bad AI before it starts.

This is not an AI tutorial.

This is a decision-grade governance framework designed to issue a clear, defensible ruling on any AI initiative:

GO / REMEDIATE / KILL

Before capital is committed.

Before risk becomes irreversible.

Before regulators, auditors, or customers get involved.

This playbook forces answers to the only questions that matter:

• What exact business decision is being automated?
• Who is personally accountable if it fails?
• What is the Cost of Error (COE) in real dollars?
• Which decisions must never be automated?
• When — and how — must the system be killed instantly?

If these cannot be answered, the initiative does not proceed.

What this playbook gives you

✔ A pre-build decision filter to terminate weak AI ideas early

✔ A governance system aligned with audits, regulators, and boards

✔ A quantified AI Readiness Score (ARS) — not opinions

✔ A mandatory Kill-Switch doctrine for high-risk AI

✔ A single, auditable AI Decision Record (AIDR)