Decision Log for Automated and AI-Assisted Decisions

Design a decision log for AI-assisted decisions with fields for suggestion, evidence, human choice, override reason and later outcome.

Added October 15, 2026. Written with AI assistance and checked for clarity and placeholders; not reviewed by a lawyer, accountant, clinician or other professional. How these prompts are made

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[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it (what [VERIFY] means).

Design a decision log for decisions where an AI tool helps: [DECISION_TYPE]. People involved: [ROLES]. Why records matter here: [REASON_FOR_RECORDS].

Specify fields: date, case id, tool suggestion, evidence shown, person's decision, agreement or override, reason for override, and outcome later. Include a rule that overrides are welcome and are reviewed for learning, not punishment.

Return the log layout, a worked example of five invented entries, monthly analysis questions (how often is the tool overridden, in which cases, with what result), and a privacy note on keeping the log minimal and restricted [VERIFY] for [JURISDICTION].

Also describe who may read the log, how long entries are kept, and how people affected by a decision can ask for an explanation, with a template reply that states what the tool contributed and what a person decided.

Finish with a quarterly review agenda of thirty minutes: override patterns, cases with poor outcomes, changes to the tool or process, and decisions about whether the log fields still fit.

Show how the monthly numbers work with an example. Suppose the log has 5 entries in a month and the person overrode the tool in 2 of them. The override rate is 2 divided by 5, which is 40 percent. A high rate suggests the tool misses something that people see; a rate near zero may mean people are not really checking. Look at the reasons given for the overrides, group them, and decide whether the tool, the instructions or the criteria need to change. Record each change in the log with its date. Keep the example small, and remind readers that a handful of entries cannot support firm conclusions, so patterns need to be confirmed over several months.

Close with a plain-language note for affected people on how to ask for a human review of a decision, who answers, and how long it takes.

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Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.

Invented month of five entries for a claims triage tool.
C101: tool suggested fast track; person agreed. C102: tool suggested decline; person overrode, reason "missing document was supplied". C103: agreed. C104: tool suggested fast track; person overrode, reason "amount above approval limit". C105: agreed.
Override rate = 2 / 5 = 40 percent. Both overrides involved information the tool did not see (a late document, an approval limit).
Action: add those two fields to the tool input and recheck next month. Five entries cannot prove a trend; watch for three months before changing the process.

• governance