Decision scenarios
What could follow from your choice?
We compare possible outcomes and the conditions that would bring them about, identifying the factors with the greatest influence on the result.
PREDICTIVE ANALYTICS COMPANY
When the
stakes
are high.
AISEENT is an analytics company for businesses and public-sector organisations. We compare scenarios, assess risks and review forecasts before consequential decisions.
Move your cursor to shape the fieldProbability branches
Main pathsRare branchesExcluded
Probability branches: shared foundations, different outcomes.
01Data and context02Possible scenarios03Informed choices
01 / WHAT WE DO
Your forecast.
An independent view.
You may already have a forecast from an internal team or a consultant. AISEENT helps examine its foundations: the evidence behind the conclusion, the assumptions it depends on and what changes under a different course of events.
For questions of strategy, growth and risk management. Start with a review of one decision.
02 / EXPERTISE
The question defines
the scope of work.
A second opinion
What supports the existing forecast?
We examine the data, model logic and sensitivity of the conclusions, showing which assessments have support and which need further investigation.
A map of risks
What matters before the decision?
We examine risks in the areas you identify, their potential consequences and signals of change, highlighting what deserves attention first.
03 / THINKING IN SCENARIOS
Before choosing a path,
explore the alternatives.
Look at one question from several angles. Choose an example challenge.
THE QUESTION
Enter a new market now — or adapt the offer first?
WHAT WE EXAMINE
- Demand and competition
- Resources and constraints
- Conditions that could shift the outlook
Scenario probabilities
Illustrative example55%Baseline scenario30%Alternative scenario15%Stress scenario
Initial conditionsPossible consequences
Main scenariosLow-probability branchesExcluded models
Thin branches are variations within the three scenarios. Dashed lines that end early represent models excluded from the final assessment.
Models and selection rationale
Illustrative model selection
Demand and competition
In comparisonCompare demand, competitors and available resources.
An adapted offer
In comparisonCompare entry with the original and an adapted offer.
Growth without constraints
ExcludedThe assumption ignores team and budget limits.
WHAT THE ANALYSIS PROVIDES
A comparison of entry options and the factors that could strengthen or weaken each one.
The diagram, probabilities and model selection are illustrative. They are not findings from an actual study.
04 / OUR APPROACH
The question first.
Then the examination.
We separate facts from assumptions, establish what can be tested and identify information gaps. We define the limits within which the findings can inform a decision.
Define the question
Clarify the decision, what is at stake and when the findings are needed.
Examine the foundations
Review sources, data and assumptions. Make gaps and limitations explicit.
Compare scenarios
Explore alternatives and the conditions that would change the assessment. Show where the results diverge.
Explain the findings
Connect the analysis to your question: risks, possible outcomes and reasons to reconsider the decision.
WHAT YOU RECEIVE
A basis for your decision.
The scope depends on the question. Three things should be clear in the findings.
Scenarios and assessments
Possible outcomes and the conditions behind them. Numerical probabilities where the evidence supports them.
Risks and signals
What could change the picture, and which events to watch for so you can reconsider the decision in time.
Evidence and limits
Sources, key assumptions, disagreements and questions that cannot yet be answered with confidence.
OUR WORKING PRINCIPLE
We explain the forecast.
And what could change it.
We show which evidence supports the conclusion and which assumptions still need testing. We explain the period the forecast covers and the changes that would call for a reassessment.
When there is not enough information to make an assessment, we say so and identify the data needed.
05 / ONE QUESTION
Let’s discuss
your question.
What decision are you facing? Is there a forecast you want to examine? Two or three sentences are enough to start the conversation.
DIRECT CONTACT
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