Learn

AI decision support that informs a choice and leaves it with you

AI decision support means using AI to help a person make a choice: gathering facts, laying out options, testing claims, and setting out the trade-offs. The person still decides. Where the line falls between helping and deciding is the most important design choice in the field, and it is often drawn carelessly.

Argumont is decision support. It is not legal, tax, medical, investment, or employment advice, and it never makes the Human Decision.

Levels of automation

In 1978 the engineers Thomas Sheridan and William Verplank described a scale of automation that runs from a computer offering no help at all, through one that suggests options or a single course, to one that acts entirely alone and ignores the person. Most useful decision support sits in the middle of that scale: the system narrows the choices and explains them, and a person approves.

The scale remains a good way to ask of any tool how much it decides on its own, and whether that is what you intended.

What good support does

It shows its sources, so a claim can be checked. It separates what is known from what is assumed. It argues more than one side, so the person sees the case against an answer as well as the case for it. And it states what would change its conclusion, which tells the person what to watch after deciding.

Where authority should stay

Authority belongs with whoever will answer for the result. For a household, that is the family; for a company, the named owner of the decision; for licensed matters such as medicine, law, and tax, a qualified professional. Support can make each of them better informed. It should never quietly become the decision maker of record.

The common mistake

Letting fluency stand in for evidence. A confident, well-written answer invites people to act without checking, and the habit grows with every answer that happens to be right. The second mistake is automating the final step, the click that commits the money, because the analysis sounded sure.

How Argumont supports a decision

Argumont runs a Decision Room in which each option has its own Champion, the Challenger attacks the weakest reasoning, the Scout investigates facts, and the Inspector marks what the evidence actually proves. The Judge issues a Verdict naming the leader, what it rests on, and what would change it. The Human Decision, what you or your organization actually chooses, is recorded separately, and you may follow the Verdict, Challenge it, or take another course.

Support first, then a person decides

A clinic manager must choose between two scheduling systems, one costing $14,000 a year and the other $19,000. Research during the analysis finds that the cheaper system lacks a claims feature the clinic's insurers require, a fact buried deep in its documentation. The analysis ranks the costlier system first, at an extra $5,000 a year, and states that the ranking would reverse if the cheaper vendor delivered the feature before the contract date. The manager reads the record, telephones the vendor, learns the feature is six months away, and signs with the costlier system. The support informed the choice; the manager made it and owns it.

Questions

Does Argumont make the decision for you?
No. It structures the analysis and issues a Verdict. You decide whether to follow it, Challenge it, or choose another course, and that Human Decision is recorded on its own.
Is AI decision support a substitute for professional advice?
No. For medical, legal, tax, investment, or employment matters, treat it as structured preparation for a conversation with a qualified professional.

Bring Argumont a Decision worth challenging.

Start with a paid 60 day pilot on your own real Decisions.

Use Argumont as support