Answer
Should you use AI to make a decision?
Use it to lay out what the decision depends on. The choice itself needs someone who will live with it.
Use it to work out what the decision actually depends on: the options, the assumptions each rests on, what would make each wrong. Do not use it to choose, because choosing requires bearing the consequence.
Most decisions are hard because the situation is unclear rather than because the choice is close. What the options actually are, what each depends on, what would have to be true, what has already been decided elsewhere: assembling these is genuine work and it is work these systems do well. Once it is done, the decision is frequently obvious, and where it is not the remaining difficulty is a judgement about what you are willing to accept.
That is where the delegation should stop, for a reason that is not about capability. A decision is a commitment by a party who will experience its consequences, and that experience is what makes the judgement about acceptable risk meaningful. A system with no stake produces a defensible answer, which is a different object from a chosen one, and a business that accepts a defensible answer has not decided anything — it has deferred.
There is a specific failure worth naming: the decision that looks like an analysis. Ask which option is better and you will receive a comparison ending in a recommendation, expressed confidently, resting on weights nobody stated. The weights are the decision — how much you value speed against cost, risk against upside — and they were supplied by the system because you did not supply them. That is how a business ends up operating on preferences it never set.
The productive form is therefore to ask for the structure and keep the weighting. What are the options. What does each assume. Where do they differ. What would make each one wrong. What information would change the answer. Every one of those is answerable without knowing what you value, and having them makes the decision faster rather than removing it.
The last question is the most useful and the most under-asked: what would change my mind. A stated answer to that turns a decision into something you can revisit deliberately when the situation moves, rather than either defending it indefinitely or reversing it on a feeling. It is also the thing a system is genuinely good at generating, because it does not require any view about what you should want.
There is one class of decision where more delegation is defensible: high-volume, low-consequence, reversible choices where a consistent rule beats individual judgement. Which enquiry to handle first, which item to flag, how to categorise something. These are decisions in name and routing in substance, and the arguments above do not apply to them because nobody is bearing a consequence per instance.
A decision is a commitment by somebody, and the part a machine can do is everything up to the commitment.
Siddharth Sharma, Context Theory
Related questions
What about using it to break a tie?
If the options are genuinely equivalent, the tie-break is arbitrary and any method works, including this one. Usually they are not equivalent and the tie reflects an unstated preference you have not resolved. In that case the useful move is to find what you are actually weighing rather than to have something choose for you.
Can it help with a decision you are avoiding?
Sometimes, and usefully, by naming what is being avoided. Asking what makes this decision uncomfortable, or what each option costs that is not financial, produces material that is hard to generate about yourself. That is a different use from asking it to decide and it is one of the better ones.
METHOD
Every figure below carries its source and the date it was verified. Nothing on this page is asserted.
The numbers on this page.
| What | Value | Specific to |
|---|---|---|
| Close rate — response under 5 minutes vs over 24 hours | 32% vs 12% | Category-wide |
| Sub-15-minute compliance — automated routing vs manual only | 62.5% vs 39.1% | Category-wide |
Optifai speed-to-lead benchmark · n=939 companies · Q2 2025–Q1 2026 · verified
2026 speed-to-lead benchmark · verified
What is specific to this page.
| Kind | Claim | Check it against |
|---|---|---|
| Workflow | Most difficult decisions are difficult because the situation is unclear rather than because the choice is close, so assembling the options, their assumptions and their failure conditions frequently makes the decision obvious. | Writing out the options and what each assumes for a decision currently felt to be hard. |
| Constraint | A recommendation produced without stated weights supplies the weighting itself, and the weighting is the decision, which is how a business comes to operate on preferences nobody set. | Asking a recommendation what weights it applied and comparing them against the business's stated priorities. |
| Response | Questions about options, assumptions, differences and failure conditions are answerable without knowing what the asker values, which makes them the delegable portion of a decision. | Checking whether each requested output could be produced without a view about the asker's priorities. |
| Buying behaviour | High-volume reversible low-consequence choices are routing rather than decisions, because no consequence is borne per instance, and a consistent rule outperforms individual judgement on them. | Classifying a candidate decision by whether anyone bears a consequence for an individual instance of it. |
Each row would be wrong on another industry's page. Where a sourced figure exists it is in the table above instead; these are the constraints that shape the work and do not happen to be numbers.
Start with the measurement.
Reading about a benchmark is not the same as knowing your own number. The audit produces yours, measured rather than estimated.
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