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Online Strategy Optimization Service
Executive Summary
Today, companies, institutions and investors are not faced with a lack of strategies, but a lack of objectively optimal strategic decisions. The real challenge of modern corporate management does not lie in the development of individual strategic options, but in the systematic evaluation, combination and selection and selection of competing strategies under complex constraints.
Budgets are limited, markets are volatile, target systems are contradictory, risks are dynamic - and strategic decisions and strategic decisions have a simultaneous impact on growth, profitability, Resilience, ESG goals and organization. The scope for decision-making is growing exponentially. Traditional strategy processes, Excel models, scenario workshops or management intuition reach clear mathematical limits here.
The Online Strategy Optimization Service from mAInthink GmbH addresses precisely this structural deficit. It transforms strategic decision-making into a standardized standardized, mathematically sound online service, that calculates the entire permissible strategic decision space - instead of simplifying it, discussing or subjectively evaluating it.
At the center is StratePlan: a ready-to-use decision and strategy optimization system, that makes complex strategic management tasks available Online tool as a service.
To the online strategy optimization service
1. The structural problem of classic strategy work
In many organizations, strategy work is still seen as a creative, discursive and experience-based process, discursive and experience-based process. In an increasingly complex world, this is precisely the structural problem.
Modern strategies are characterized by:
- several simultaneous strategic options
- limited investment and resource budgets
- Interdependencies between strategic initiatives
- different time horizons of impact
- Risks, uncertainties and volatility
- regulatory, political and ESG constraints
As soon as more than a few strategic options are considered at the same time the strategic decision-making space explodes. Just ten strategic initiatives, each with two to three characteristics lead to thousands of possible strategy combinations. In real corporate contexts, we are quickly talking about Millions to billions of possible strategies.
No management team, no strategy workshop and no Excel model can fully capture this space.
2. Why classic strategy processes systematically fail
2.1 Scenarios, roadmaps and management intuition
In practice, three approaches dominate:
- Scenario planning with few alternatives
- Strategic roadmaps and target images
- Experience-based decisions in top management
What they all have in common is a fundamental error in thinking: They only consider an extremely small section of the actual strategic decision-making space.
What sounds strategically plausible is almost always mathematically not optimal.
2.2 The fallacy of strategic simplification
In order to remain capable of acting, strategic complexity is often reduced: fewer options, clear narratives, simple target images.
Mathematically, however, the opposite is required: Complexity must be calculated - not simplified.
The consequences of classical simplification:
- suboptimal capital allocation
- Strategies with hidden opportunity costs
- Over- or underinvestment in individual initiatives
- strategic path dependencies with long-term loss of value
3. Strategy optimization: from narrative to calculation
Strategy optimization does not mean
- better presentations
- more workshops
- more precise vision statements
But: the objective calculation of the optimal strategic decision under all relevant constraints.
The focus shifts from Strategy as a story to Strategy as a predictable decision-making structure.
4. StratePlan: Strategy as a mathematical system
StratePlan was not developed as a theoretical framework, but as a ready-to-use decision-making infrastructure.
The system translates strategic questions into formalized optimization models and calculates, among other things
- which strategic initiatives should be implemented
- which combination of strategic measures generates the highest overall benefit
- how investment budgets can be optimally distributed strategically
- which seemingly attractive strategies must be excluded
StratePlan does not replace strategy departments or management teams - it it supplements them with the decisive mathematical level, that human decision-making cannot structurally achieve.
5. From strategy project to online service
A central innovation of mAInthink is the Standardization of strategic decision-making as an online service.
What was previously only possible in complex, time-consuming strategy projects is now available as a scalable service, is now available as a scalable service:
- no months of strategy workshops
- no manual scenario definition
- no subjective prioritization
Instead: Upload → calculation → strategic basis for decision-making.
6. Data upload: minimal, structured, effective
The Online Strategy Optimization Service deliberately works data minimalistically.
Supported formats:
.xlsx.xml.json
Only structured numerical data is processed, e.g:
- Strategy or initiative ID
- Investment requirement
- expected benefit, profit or impact
- Restrictions, dependencies, targets
Texts, visions or narratives are not required for the calculation and are deliberately not used.
This increases data protection, reduces scope for interpretation and speeds up optimization considerably.
7. Data protection and confidentiality by design
The service follows the principle of structural data minimization:
- no sensitive content
- no strategic texts
- no conclusions about business models
Optionally, customers can disguise their data with own, unknown multipliers. StratePlan also calculates on scaled or encrypted data, without knowledge of the real values.
8. Mathematical optimization instead of gut feeling
StratePlan addresses NP-hard optimization problems, that inevitably arise when making strategic decisions.
Characteristics:
- exponentially growing decision space
- no exact solution using linear models
- not solvable with classic strategy tools
The service combines:
- exact optimization methods
- heuristic search algorithms
- hybrid AI approaches
The goal is not academic perfection but a practically optimized strategic decision with maximum economic impact.
9. Measurable added value: ROI, impact, robustness
Real-life applications regularly demonstrate this:
- up to 60% higher ROI with the same budget
- more robust strategies under uncertainty
- Reduction of strategic misinvestments
- transparent, comprehensible decisions
The decisive factor is not the optimization of individual measures but the optimization of the overall strategy.
10. Who is the Online Strategy Optimization Service suitable for?
The service is aimed at organizations with:
- multiple competing strategic initiatives
- limited investment budgets
- high uncertainties and risks
- strategic responsibility at board or owner level
Typical fields of application:
- Corporate and group strategies
- Transformation and restructuring programs
- Growth and investment strategies
- ESG and impact strategies
- public and institutional strategies
11. Integration instead of replacement of existing systems
StratePlan does not replace existing systems or processes such as:
- ERP
- BI and controlling systems
- classic strategy processes
It supplements them with a decision-logical optimization level, which these systems are structurally unable to map.
12. Strategy redefined
The Online Strategy Optimization Service represents a fundamental change of perspective:
Away from: "Which strategy seems plausible?"
Towards: "Which strategy is objectively optimal?"
Strategic decisions thus become:
- predictable
- reproducible
- transparent
- scalable
13. Conclusion: Strategic decisions are the critical bottleneck
In a world of growing uncertainty, it is not information but strategic decision-making quality is the decisive competitive factor.
The online strategy optimization service from mAInthink makes this quality available for the first time systematically, mathematically and as an online service.
Not as a vision.
Not as a methodology.
But as a ready-to-use decision-making infrastructure
for strategic management in the 21st century.
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.