Practical guide · AI and decisions

How to use AI for a sourced decision summary

Use AI to question and summarize a decision file while keeping sources, assumptions, missing evidence, limits and human responsibilities visible.

Key points

What to remember

  • Sources accessible from the summary
  • Evidence separated from assumptions
  • Calculations run by a deterministic engine
  • Human validation before use
01

Useful applications

AI is effective for accelerating the reading of a corpus that has already been framed. It can suggest a structure, compare positions, identify tensions and formulate validation questions.

  • Summarize several documents
  • Compare arguments and scenarios
  • Identify contradictions or gaps
  • Prepare a recommendation outline
  • Adapt the reading level to the audience
02

What should remain deterministic

Deterministic and testable logic should execute financial calculations, agreed scores, aggregations and eligibility rules. AI explains the result using the calculated values.

Clearly separate what was calculated, extracted from a source, entered as an assumption and estimated by a model.

03

Make the synthesis verifiable

Every decisive statement should point to evidence or be presented as an interpretation. A citation is insufficient when the source does not actually support the conclusion.

ContentTreatmentControl
EvidenceExtraction from a sourceLink and date
CalculationDeterministic engine or formulaFormula and units
AssumptionEntered and attributedOwner and sensitivity
AI interpretationExplicit estimateHuman validation
04

Responsibility remains human

The person or body making the decision chooses the criteria, accepts the risks and commits resources. They should be able to challenge the synthesis and return to the evidence.

Plot can assist perspective and synthesis. Atlas retains the context and decision record. This division avoids presenting AI as an autonomous decision-maker.

FAQ

Frequently asked questions

Can AI calculate an ROI?

It can explain a formula, but the operational result should come from a deterministic calculation with visible units, assumptions and scope.

How can hallucinations be limited?

Bound the corpus, require links to sources, allow no-answer outcomes and have material claims validated.

Should prompts be published?

Not necessarily, but retain the instruction, corpus, model version and validations when the synthesis influences a material decision.

Take action

Apply the method to
your next strategic decision.