Free download · five minutes to run
Is your AI workflow remembering the right things?
Most AI workflows do not fail because the model is weak. They fail because nobody defined the owner, the source of truth, the approval boundary, or how a correction survives the next run.
The AI Employee Memory Check finds that gap in seven questions. Print-ready PDF + agent-readable Markdown, sent to your email. Run it on any workflow, today and every time you add autonomy.
Get the Memory Check
You confirm your address first; nothing is sent and no contact is stored until you do.
What's inside
The operating system around the model, checked in seven questions.
- one bounded recurring output;
- one accountable human owner;
- source authority and freshness;
- approval and proof at the real destination;
- clear permission boundaries;
- a correction loop that changes future runs.
Each question scores 0–2. You get a Green / Amber / Red band, a critical-gate rule that a healthy total cannot hide, the first fix for your lowest score, and a worked example from our own logs.
We run this system live. The questions come from operating a real fleet of AI agents—and from the failures that forced the memory, approval, and verification layers to improve.