Download the one‑page checklist (no email required):

A4 PDF· US Letter PDF

Why this matters: AI can raise quality and access—or quietly erode them. This checklist distills what actually prevents drift, hallucinations, liability surprises, and deskilling. Print it, post it, and use it to run safer, more effective AI programs.

Why this matters: AI can raise quality and access—or quietly erode them. This checklist distills what actually prevents drift, hallucinations, liability surprises, and deskilling. Print it, post it, and use it to run safer, more effective AI programs.


What’s inside (one page, zero fluff)

  • Purpose & Risk Boundary — Define the problem, metrics, and stop‑rules.
  • Accountability & Governance — One owner, safety/QA sign‑offs, and a training dividend.
  • Data & Privacy — Minimization, consent updates, PHI/PII protection, retention.
  • Model & Prompt Controls — Retrieval grounding, citations, test harness, injection defenses.
  • Change Control & Monitoring — Versioning, shadow/A‑B, rollback, drift & alert metrics.
  • Human Oversight & Workflow — Two‑person checks, exception queues, non‑delegable decisions.
  • Documentation & Auditability — Logs, evidence packs, disclosure language.
  • Training & Apprenticeship — Sim cases, graded autonomy, protected learning time.
  • Procurement & Contracts — Data rights, security/audit clauses, quality SLAs, exit plan.
  • Incident Response — Kill switch drills, severity matrix, blameless postmortems.
  • Equity & Ethics — Subgroup performance and accessibility checks.
  • KPI Dashboard — Quality, safety, operations, training, equity.

Formats: A4 and US Letter, print‑ready.
Download now: → A4 PDF· US Letter PDF

Who this is for

  • Law firms & in‑house counsel deploying AI for research, drafting, review, or intake.
  • Hospitals & clinics piloting AI triage, documentation, imaging support, or decision aids.
  • Ops, compliance, and QA leads who need a single page to align stakeholders.
  • Founders and vendors selling professional‑grade AI who want validation moats, not demos.

How to use the checklist (in under 90 minutes)

  1. Huddle (15 min): Name the accountable owner, scope the use case, agree on success/failure metrics.
  2. Mark the boundaries (15 min): Circle forbidden uses and non‑delegable decisions.
  3. Controls sprint (30 min): Fill the blanks for logs, test harness, monitoring, rollback, and on‑call.
  4. Human‑in‑the‑loop (15 min): Define two‑person checks and an exception queue with SLAs.
  5. Publish & post (10 min): Print it; add the owner’s name and review cadence; schedule a 30‑day retro.

Why we’re giving this away

We believe better AI isn’t only smarter models—it’s better workflows. If this single page helps one firm avoid a sanctions order or one clinic avoid a preventable incident, it’s worth it. Share it, fork it, and make it yours.

Download:A4 PDF· US Letter PDF

FAQ

Can we modify and republish it?
Yes—please keep attribution to Thorsten Meyer AI and note your edits.

Is it legal advice or clinical guidance?
No. It’s an operational checklist to support conversations with your counsel, ethics board, and QA team.

How often should we review it?
Monthly while piloting; quarterly once stable; after any model or workflow change.


Credits & Version

  • Version: v1.0 (Aug 2025)
  • Author: Thorsten Meyer AI
  • Attribution: © 2025 Thorsten Meyer AI — thorstenmeyerai.com
You May Also Like

GitHub Spark Tool: Build Apps with One Prompt

Experience the future of development with GitHub’s latest innovation. GitHub Releases Spark Tool Which Can Build Full Apps From a Single Prompt.

Reality Check: Can We Really Retrain Everyone for the AI Economy?

Many question if rapid, widespread retraining for the AI economy is feasible amidst current infrastructural and funding challenges.

Reality Check: Is a 4-Day Workweek a Solution or a Fantasy in an Automated World?

Fascinating debates persist on whether a 4-day workweek is feasible amid automation, leaving us to wonder if it’s a future reality or mere fantasy.

Reality Check: Will Every Job Really Be Automated?

Facing the automation wave, many wonder which jobs will truly disappear and which will adapt—discover the surprising realities ahead.