The next session
Critical Thinking with AI: test the claim the decision rests on. A half day. Ask for the next date.
Everything from the hour, with no form to fill. Event code: web
| Ask before you act | Instead of | Try asking | |
|---|---|---|---|
| S Structure | What is the real decision here, and what is fixed? | "Give me ways to increase sales." | "What could be stopping customers from buying, and what evidence would tell those causes apart?" |
| T Test | What would show this answer is wrong, and have I checked it? | Accepting the first explanation that fits | "Give me three explanations, the evidence for each, and what would disprove your leading one." |
| E Engage | Who must agree, who must know, and what must I not hand over to AI? | Sending the AI's draft because it is finished | "Who signs this off, who is affected, and do they know AI drafted it?" |
| P Perform | What will I commit to, on what basis, and what would change my mind? | Picking the most convincing recommendation | "Which option does the evidence support, what am I accepting, and when will I check again?" |
Judgment is how well a person decides once AI has given the answer. The card is training material. It is not an assessment and earns nothing toward certification.
I am working on this decision: [describe it in one sentence]. What the work has to achieve: [the goal]. What is fixed: [budget, deadline, rules]. Before you recommend anything: 1. State, in one sentence, the decision you think I am making. Ask me if that is right. 2. Separate the facts I gave you from your own estimates and assumptions. Mark each estimate. 3. Tell me what would show your recommendation is wrong, and what I could check. 4. Name who would have to agree, and who would have to know, before this is acted on. 5. Give me two options, what each commits me to, and a small first step that can be reversed. Do not make the decision for me. I will decide.
The assistant can point at weak places in its own answer. You still check one thing against real evidence before you act.
Meridian Supplies is a fictional distributor of packaging and consumables with 38 staff. KessidAI is the company's AI assistant. It is connected to the accounting and stock systems and the owner asked it whether to buy a reporting tool.
Your five office staff spend about 200 hours a month preparing recurring reports. ReportFlow AI can automate an estimated 60% of that work.
KessidAI's conclusion: the potential capacity value is more than three times the subscription, a potential net benefit of USD 31,200 a year. Recommend approval this week so that the first automated reports run next month.
What is the real decision here, and what is fixed?
What would show this answer is wrong, and have I checked it?
Who must agree, who must know, and what must I not hand over to AI?
What will I commit to, on what basis, and what would change my mind?
| Action | Sign the annual subscription, after the vendor has run Meridian's own weekly sales and stock report through the tool and the owner and the sales managers have accepted the result. |
|---|---|
| Reason | The Monday report is used and the people who read it say they cannot run the week without it; 200 hours a month is a measured load; the subscription is less than a third of the capacity value even if the vendor's 60% is half right. |
| Owner | The owner, on the finance manager's figures. |
| Evidence | Last quarter's timesheets; the vendor's run on Meridian's own report; finance's answer to how a released hour turns into money at Meridian. |
| What would change it | If the first month's reports need more than two hours of correction a week, stop before month three. A cancellation window is asked for before signature; the case does not say the vendor will give one. |
| Check on | Day 30 and day 60. |
| Action | Run the tool for eight weeks on two reports: the weekly sales and stock report and one other recurring report the owner names. |
|---|---|
| Reason | The 60% is a vendor estimate from one sample; the value of released hours is not known; the money is paid a year in advance. |
| Owner | The finance manager, with one of the five staff. |
| Evidence | Time to prepare falls by at least half; the sales managers accept the report without asking for a manual version for four consecutive weeks; set-up work on Meridian's side stays under 20 hours. |
| What would change it | Any Monday report late or wrong stops the pilot. If the three conditions hold at week eight, approve for the tested reports. |
| Check on | Week four and week eight. |
| Action | Do not sign. First find out which of the recurring reports are still read, and stop the ones that are not. |
|---|---|
| Reason | Part of the 200 hours may disappear at no cost. The tool question is better asked once the real reporting load is known. |
| Owner | The owner. |
| Evidence | A two-week count of who opens or asks for each report. |
| What would change it | If the review shows the reports are needed and the load stays near 200 hours, return to decision one or two. |
| Check on | In two weeks. |
Five emails over five working days, sent by AIR Academy from indhran@airapac.org. Each is one exercise of about ten minutes. Reply "stop" at any time and they end. Your address is used for these five emails and, only if you ask, for the date of the next session. Nothing else. Nobody else sees it. The event code in the subject line tells us which event you came from, so that we can tell the organiser how many people asked, as a count, without names.
Send me the five practice exercises
If the button does nothing on your phone, write to hello@airapac.org with the subject Send me the five practice exercises (web).
The five exercises are also here, one page each. The emails bring them to you one a day.
If you were not in the room, or want the method in your own time: four lessons of five minutes, spoken by the facilitator, and a seven-minute practice decision on the same case. Free, with no account.
Critical Thinking with AI: test the claim the decision rests on. A half day. Ask for the next date.
From Answers to Decisions, one day, for the managers who decide with AI. Practised on StepSim, the AIR APAC decision simulator built by Exeter Labs.