Weekly AI Operations Review

AI experiments multiply quickly. Useful systems are rarer.

The weekly review is a small operating ritual that distinguishes temporary excitement from repeatable value.

Gather the evidence

Before the review, collect every experiment from the previous week:

• what task it attempted;
• who used it;
• time saved or quality improved;
• failures and edge cases;
• whether someone would use it again.

A simple record is enough. The goal is comparison, not bureaucracy.

Score the experiment

Evaluate each experiment on four dimensions:

1. Value: did it improve an important outcome?
2. Reliability: did it work consistently enough?
3. Effort: can it be maintained without special attention?
4. Risk: what happens if it is wrong?

An impressive demo with low reliability is still a demo.

Decide its status

Every experiment should receive one status:

• stop;
• keep testing;
• document and repeat;
• automate carefully;
• make it part of the standard process.

This is the moment where experimentation becomes operations.

Keep the decision log

Write down why you chose the status. In three months, this record becomes a practical map of where AI creates genuine leverage for the business.

Copy this template

Start small.
Make it repeatable.

1. Input: Define the job, audience, constraints and source material.
2. Draft: Use AI for structure and options, not the final unchecked answer.
3. Review: Check facts, judgment, tone and the consequence of a mistake.
4. Deliver: Put the useful output where work actually happens.
5. Learn: Record what improved, failed or should change next time.

H² Signal / Weekly

Keep your decision system sharp.

Get one concise weekly note with practical workflows, tools and ideas worth testing — no template bundle pitch attached.

Subscribe on Substack ↗