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Weekly AI ops review

Run a weekly AI ops review that keeps tools honest

One job, one metric, keep or cancel. No vanity dashboards.

What you will be able to do

You will run a weekly AI ops review that keeps tools honest—without fake ROI theater or vanity dashboards.

What the meeting is for

Thirty minutes. Same agenda. Decisions and kills, not vibes.

You are checking:

  • Which AI jobs still save time after review cost
  • What broke (bad drafts, bad pastes, bad permissions)
  • What to change in prompts, tools, or rules next week

You are not building a slide about “AI transformation.” Related: measure ROI and stable system prompts.

Floor vote

Where are you with this job?

One vote per device. Change it any time.

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Who attends

Keep it small:

  • Owner of AI tooling / ops (facilitator)
  • One person who does the highest-volume AI job
  • Optional: security/admin seat holder

Five people in a “steering committee” is how the review dies. Invite workers of the workflow.

The one-page scorecard (copy every week)

For each active AI job (max three on a small team):

  • Job name + owner
  • Volume this week (rough count)
  • Minutes per item before vs after (honest)
  • Edit/rework pain (low/med/high)
  • Incidents (wrong send, bad paste, near-miss)
  • Keep / fix / kill
  • Next experiment (one line) or none

If you cannot fill the row, the job is not real yet.

Agenda that fits in 30 minutes

  1. Seat and tool hygiene (5) — anyone leave? unused seats? new shadow tools?
  2. Scorecard (15) — walk each active job; decide keep/fix/kill
  3. Prompt and policy deltas (5) — version bumps only with a named reason
  4. One commitment (5) — a single next action with owner and date

End on time. Parking lot goes to a doc, not a second meeting.

Ban these metrics

Do not celebrate:

  • Number of prompts run
  • Number of tools in the stack
  • “AI adoption %” with no job definition
  • Model confidence scores
  • Revenue attributed with a straight face and no baseline

Activity is not return. If a number cannot change a keep/kill call, drop it.

Incident blameless, paste ruthless

When something goes wrong:

  • What data left the approved path?
  • What prompt or permission allowed it?
  • What one rule or version bump prevents a repeat?

Blame the missing red list, not the newest hire. Then update the list the same day.

Cadence with monthly cousins

  • Weekly: scorecard + hygiene
  • Monthly: deeper permission review, prompt version audit, cancel unused tools
  • Quarterly: strategy only if weekly notes show a pattern (not because a vendor webinar landed)

Weekly is the muscle. Quarterly without weekly is cosplay.

Worked example (pattern only)

Jobs on the board: quote follow-up drafts, meeting decision logs, coding assistant. Quote follow-ups: volume steady, edit time down, one invented discount caught in review → keep, add “no discounts unless offer code in facts.” Meeting logs: nobody posted Slack summaries → fix process or kill the job. Coding assistant: two near-miss bad APIs → keep with tighter review checklist. One commitment: Alex ships prompt v4 by Wednesday.

How this ties to day-30 pilots

New pilots still get a day-30 keep/kill. The weekly review is where you notice by week two that edit time erased the gain—so you fix or stop early. See where to start.

How a five-person team runs this week

Put a 30-minute Friday block on the calendar with the scorecard template in the invite. Cap active AI jobs at three. Bring one incident or near-miss even if it feels small. End with a single dated commitment. If the meeting slips two weeks in a row, shrink it to fifteen minutes—but do not replace it with a quarterly “AI strategy” deck that never kills a tool.

Pair with ROI without theater

When a scorecard row says “feels faster” with no minutes, send the owner back to a two-week baseline before the next review. The weekly meeting enforces measurement; it does not replace it. Keep/fix/kill without numbers is still guessing—just with a recurring invite.

Facilitation tip

Keep a running doc of killed tools and killed jobs with dates. That archive stops the team from re-buying the same shiny subscription next quarter under a new name.

Field check

Field check

Four questions. Honest answers. No score sent anywhere but this page.

01 / 04

Can you name the one job this piece is for, in one sentence?

Short close

One page, three jobs max, keep/fix/kill, no vanity counts—that is a weekly AI ops review worth having.

Keep these

The working rules

One job, one metric, keep or cancel. No vanity dashboards. Then: Follow the steps in the article; Keep humans on final decisions; Skip invented facts; Reuse the same brief next time.

Mark

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