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Blog main article:
Why the state needs control - but requires calculation
A critical look at government financial control in the age of exponential decision-making spaces
Executive Summary
State financial control is a cornerstone of democratic order. It creates transparency, ensures legality and enables parliamentary control. However, in a world of highly complex political, economic and social interdependencies, this system is reaching its structural limits.
Today, the state correctly checks what has happened.
However, it cannot calculate what should have happened.
The greatest economic damage is not caused by illegal spending, but by legal, transparent but systematically suboptimal decisions. This article shows why classic ex-post auditing is not enough - and why government control will need an ex-ante calculation of decisions in the future.
optimally calculate tax money investments ex-ante now
1. The role of state financial control
Government audit audits the budgetary and economic management of the state. Its tasks can be summarized in three terms:
- Audit
- Advising
- Reporting
These functions enable parliamentary control and ensure the rule of law, regularity and transparency. But their logic is backwards: Decisions are evaluated after they are implemented - not before they are selected.
2. The silent assumption behind the audit
Traditional financial control is implicitly based on an assumption:
If all rules are followed, the result is at least acceptable.
This assumption was viable in manageable systems. In today's decision-making spaces, it is no longer.
Conformity to rules says nothing about whether a decision:
- was economically optimal
- Has allocated resources in the best possible way
- generates the greatest social benefit in the long term
A decision can be formally correct and strategically wrong at the same time.
3. From individual decisions to portfolios
Modern policy does not consist of individual measures, but of decision portfolios.
A national budget is not a project, but a high-dimensional portfolio:
- Investments
- Support programs
- Subsidies
- Infrastructure measures
- Social benefits
- Defense spending
Each measure competes with all the others:
- Budget
- Time
- Administrative capacity
- political attention
The crucial question is therefore no longer:
"Was this measure correct?"
but:
"Was this measure the best choice among all possible alternatives?"
Classical testing cannot answer this question.
4. The blind spot: opportunity costs
The largest cost block of government decisions does not appear in any budget: Opportunity costs.
Every decision excludes others. Every prioritization generates renunciation.
This renunciation becomes:
- not calculated
- not shown
- not checked
Financial control sees where money was spent. It does not see where money could have been spent more effectively.
This means that the most economically relevant part of the decision remains invisible.
5. Exponential decision spaces
Above a certain number of projects, the number of possible decision combinations does not grow linearly, but exponentially.
- 10 projects: 1,024 combinations
- 20 projects: over 1 million combinations
- 50 projects: over 1 quadrillion combinations
No one - no ministry, no committee, no cabinet - can intuitively grasp this space.
In such spaces, decisions are not made optimally, but:
- politically negotiated
- historically updated
- administratively simplified
Examination cannot correct this structure because it is created before the decision is made.
6. Why ex post control systematically comes too late
Financial control takes effect when:
- Funds are already committed
- Projects are already underway
- the political costs of a change of course are high
Even serious audit findings then often only lead to
- Recommendations
- Reporting obligations
- long-term learning processes
Not to optimal decisions, but to fewer bad repetitions.
7. The limits of the advisory mandate
The advisory function of financial control also remains bound by this logic. It can:
- point out risks
- draw attention to inefficiencies
- identify structural weaknesses
However, it cannot calculate an optimal alternative because
- its mandate is not designed for this
- its instruments are retrospective
- its role remains deliberately neutral and testing
Consulting does not replace calculation.
8. The necessary paradigm shift
Sustainable state control requires a supplement to the existing architecture:
| Today | Tomorrow |
|---|---|
| Examination ex post | Optimization ex ante |
| Rule conformity | Impact maximization |
| Transparency | Decision quality |
| Control | Calculation |
It is not about abolishing control. It's about adding decision-making intelligence.
We have the tools: Why the state needs control - but needs calculation
Dr. Igor Kadoshchuk is a computer scientist, algorithm architect, and one of the leading minds behind mAInthink's optimization and decision-making algorithms. As scientific director of the StratePlan™ and DeepAnT platforms, he combines in-depth mathematical research with practical applications in project portfolio optimization, business, finance, and public administration.
He holds a PhD in computer science from the renowned Moscow Institute of Physics and Technology (MIPT), where he also taught as a professor of computer engineering and mathematics. He has decades of experience developing highly complex mathematical models for project portfolio optimization and financial systems, investment planning, and strategic decision-making. His professional career includes leading positions such as Head of IT at Gazprombank and Director of Project Management at TransTeleCom.
Dr. Kadoshchuk writes on the mAInthink AI Blog. Kadoshchuk on:
- Algorithmic strategy optimization
- New methods for calculating ROI and impact
- Project portfolio optimization beyond traditional tools
- The limits of human decision-making – and how AI overcomes them
His aim: to calculate strategy, not estimate it.
His contributions combine scientific precision with clear, understandable language – always with the goal of making complex decision-making spaces transparent, manageable, and measurable.