Scenario Modelling AI
See what could happen before you decide.
Scenario Modelling AI turns a question into a model you can test, compare and explain. You make the call.
Testing a decision, step by step.
Here’s how it works on an example decision: build more, or store more?
Start with the question you need answered.
It turns your question into a model, using your own figures and published sources.
It shows how each option plays out.
See the options side by side over the years ahead.
It shows what would change the answer.
If demand grows faster than expected, a different option comes out ahead.
You get a clear brief to decide from.
The options, what drives them and how sure we are, on one page.
Use it for many kinds of decision.
Each study is built around one choice and the evidence behind it.
Energy and water
What if a plant goes offline during a heatwave?
Transport
Which upgrade helps the most people for the money?
Public money
Which way of paying for it is fairest?
Buildings
Which design costs least over its life?
Climate
Which places are most at risk in a storm?
Public services
How much extra demand can services handle?
Plan for a range, not a single number.
Where less is known, the band gets wider, so nobody mistakes a guess for a promise.
Why planning has changed.
254.8 mm
A record rainfall in under a day
In April 2024, the UAE saw its heaviest rainfall since records began in 1949. Khatm Al Shakla in Al Ain received 254.8 mm in under 24 hours.
NATIONAL CENTRE OF METEOROLOGY · APRIL 2024
#1
Extreme weather is the top long-term risk
The World Economic Forum’s Global Risks Report 2026 ranks it as the most severe global risk over the next ten years.
WORLD ECONOMIC FORUM · JANUARY 2026
5.8m
More people to plan for
Dubai’s 2040 Urban Master Plan expects residents to grow from 3.3 million in 2020 to 5.8 million by 2040.
DUBAI 2040 URBAN MASTER PLAN · 2021
Decisions that last decades need more than one forecast.
Built so you can trust the numbers.
The maths can be checked.
Results come from set formulas, not AI guesswork.
Each figure shows its source.
Inputs show where they came from, when, and how sure we are.
Uncertainty is shown honestly.
Ranges show what isn’t known. They are not predictions.
Your data stays where it belongs.
Studies can run inside your own environment, under your control.
Use it on its own or inside Agentic OS.
Scenario Modelling AI
For testing decisions before you make them.
Interactive, explainable models for strategy, resilience and investment.
You are here
Agentic OS
For the work inside government.
The same studies, inside the system leaders already use for briefings and decisions.
Common questions
What is Scenario Modelling AI?
It is a decision-support product for exploring how a system, policy or investment behaves under different assumptions. It combines AI-supported research with interactive models, transparent calculations and sourced comparisons, and prepares a brief from the same model.
Is it a forecasting tool?
Not on its own. Results show how the model behaves under its assumptions. Forecasts and engineering conclusions need the right evidence and expert review, and each study makes clear which is which.
Where do the numbers come from?
From set formulas and your inputs. AI helps build and explain the analysis, but the model does the calculating, so the same inputs always give the same answer.
How is uncertainty shown?
With ranges and sensitivity tests. A range reflects the inputs you choose. It is not a probability unless the model has evidence for one.
How long does a study take?
It depends on the decision, the data and how deep the research goes. A focused comparison can start with a small model. A deeper study adds research and more scenarios.
How does it relate to Agentic OS?
Scenario Modelling AI is its own product. It can also run as a specialist workspace inside Agentic OS.
Which decision is on your desk?
Tell us the choice you’re weighing. We’ll show you how it could be tested.
Request a private briefing