Decision intelligence
From local optimum to global optimum
Decisions are not gut feelings. They are a combinatorial problem.
In a world of exponentially growing complexity, classic planning is no longer sufficient. As soon as more than seven projects are evaluated simultaneously, a decision space with 2n possible combinations arises.
With 50 projects, we are talking about over 1 quadrillion (250) possible portfolio variants. No human being. No Excel model. No workshop process can fully capture this space.
Decision intelligence means calculating the entire decision space mathematically – not estimating it.
In this video, we demonstrate decision intelligence using the example of a fictional German city.
Starting point: limited budget, numerous investment projects, conflicting political goals, dependencies, terms and restrictions. The central question is:
The video demonstrates how the entire decision space is calculated, permissible combinations are filtered, and the global optimum is identified.
Transferability to all levels
Decision intelligence is not limited to municipal budgets. The principle shown is fully scalable.
- Municipal level : Budget prioritisation, investment programmes, infrastructure projects
- State & ministerial level : Budget allocation, funding programmes, strategic initiatives
- Companies : CapEx allocation, M&A portfolios, product pipelines, location decisions
Wherever budgets are limited and the number of projects is high, exponential complexity arises. This is where decision intelligence begins.
What decision intelligence really is
Decision intelligence is the systematic, algorithmic calculation of all permissible decision states taking real restrictions into account before the actual decision is made.
It does not replace intuition. It replaces incompleteness.
The result is not a scenario. It is the global optimum within the defined system.
StratePlan: Engine for global optima
With StratePlan, mAInthink has developed a hybrid architecture that combines classic optimisation methods with algorithmic redundancy.
- Exploration of exponential decision spaces (2n)
- Multi-constraint optimisation
- Portfolio logic with dependencies
- Ex-ante ROI maximisation
- Transparent decision traceability
StratePlan calculates. People make the decisions.
