Decision analysis
Decision analysis is the older sibling of decision intelligence: options, criteria, tradeoffs, and a way to talk about uncertainty without pretending you have a...
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What decision intelligence actually is
Decision intelligence is not a chatbot with a strategy accent. It is the practice of making a choice inspectable: what was compared, what evidence was used, what was scored, and how sure you were.
What it means
Practitioners use the phrase for systems that combine data, models, and human judgment so a decision can be explained and improved. The useful version is operational. You can point to the work.
A dashboard that reports last quarter is business intelligence. A recorded contest between options is decision intelligence.
Why it matters
Teams lose arguments in meetings and then cannot reconstruct why they picked an option. Intelligence here means you can show the work when someone asks six months later.
How to apply it
Name the decision, name the options, name the criteria, attach evidence, score, and keep a trail. That is the loop. Tools that skip any of those steps are presenting a vibe as a verdict.
A common trap
Buying a reporting tool and calling it decision intelligence. A chart is not a verdict. Neither is a paragraph from a language model.
How Argumont uses this
Argumont runs independent roles, classifies claims, attaches evidence status, scores options, and stores a verdict you can appeal. The product is the loop, not a synonym for AI.
Questions
- Is decision intelligence the same as business intelligence?
- No. BI reports what happened. Decision intelligence structures a choice that has not been made yet, or that needs to be defended.
- Do you need AI for it?
- No. AI can help generate claims and find evidence. The discipline is older than language models.
Related pages
Decision scoring
A score says this option is stronger on this criterion, given this evidence. If you cannot show the evidence, the score is decoration.
Decision scoring
Argumont scores options against criteria you can inspect. Weights are explicit. Reasons are stored. A model agreeing with itself is not a score.
How it works
The product is a sequence, not a conversation that hopes to end well. Each step leaves something you can inspect.
Learn
These articles explain methods Argumont uses in the product. They are education, not a pile of keyword stubs, and not fake news with invented dates.
See how Argumont runs a decision
Argumont challenges assumptions, researches evidence, compares competing approaches, and identifies the strongest decision.
See how Argumont runs a decision