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Project Allocation Online Optimization Service
Executive Summary
In modern organizations, value is not created by the number of good projects, but through the correct allocation of projects, budgets and resources. The decisive management question is therefore not which projects are fundamentally sensible, but which combination of projects generates the highest overall value under all restrictions.
This is precisely where the Project Allocation Online Optimization Service comes in. It transforms a highly complex management task that was previously almost impossible to manage into a standardized online service, that calculates project allocation mathematically - instead of discussing it, prioritize or simplify them.
The core of the service is StratePlan: a ready-to-use optimization infrastructure, that makes project allocation available as an online tool as a service and algorithmically analyzes the entire permissible decision space.
About the Allocation Online Optimization Service project
1. Project allocation is the actual decision problem
In many organizations, project allocation is handled implicitly: Budgets are distributed, projects are started, others are stopped - often often on the basis of experience, political considerations or individual assessments.
In reality, however, project allocation is a highly complex decision problem in its own right, highly complex decision-making problem. It is characterized by:
- many parallel projects
- limited investment and resource budgets
- Interdependencies between projects
- different durations and impact curves
- Risks, uncertainties and regulatory requirements
- conflicting strategic and operational objectives
Thousands of possible allocations arise from just a few projects. In real portfolios, the decision space quickly covers Millions to billions of possible combinations.
This space is structurally unmanageable for human intuition.
2. Why classic allocation logics fail
2.1 Prioritization is not optimization
Typical approaches to project allocation are
- Project rankings and scoring models
- Traffic light logic and business case comparisons
- Budget allocations in committees
These methods generate sequences, but not an optimal allocation. They often ignore
- Combination effects between projects
- mutual dependencies
- Budget competition over several periods
The result is allocations that appear comprehensible, but are mathematically and systematically suboptimal.
2.2 The fallacy of simplification
In order to be able to make decisions complexity is often reduced: fewer projects, rough budgets, simplified assumptions.
Mathematically, this is exactly what leads to wrong decisions. Complexity must be calculated, not simplified.
The consequences:
- Misallocation of capital
- hidden opportunity costs
- Overfunding of individual projects
- Underfunding of system-critical initiatives
3. Project allocation as a mathematical optimization problem
Project allocation is not a valuation problem, but a combinatorial optimization problem.
The central question is not:
"Which project is good?"
But rather:
"Which project allocation maximizes the overall value under all budget, risk and dependency restrictions?"
This shifts the focus from individual projects to the Optimization of the entire project portfolio.
4. StratePlan: Calculate project allocation instead of making decisions
StratePlan translates project allocation into formalized mathematical models.
Among other things, it calculates
- which projects are implemented
- which projects are excluded
- how budgets are optimally distributed
- how dependencies and restrictions are adhered to
StratePlan does not replace existing project or portfolio tools. It supplements them with the crucial optimization level, that traditional systems cannot provide.
5. Project allocation as an online service
The Project Allocation Online Optimization Service makes this calculation available for the first time standardized and scalable for the first time.
The process is deliberately kept simple:
- structured data upload
- algorithmic optimization
- clear allocation recommendation
Instead of iterative workshops and discussions:
Upload → calculation → optimal project allocation.
6. Data upload: minimalist and secure
The service deliberately reduces data.
Supported formats:
.xlsx.xml.json
Only structured numerical data is processed:
- Project ID
- Investment requirement
- expected benefit, profit or impact
- Restrictions and dependencies
Texts, descriptions or narratives are not required for optimization and are deliberately not used.
7. Data protection through structure
The Project Allocation Online Optimization Service follows the principle of structural data minimization.
- no sensitive content
- no project texts
- no conclusions about strategies
Optionally, data can be shared with customer-specific multipliers can be scaled or masked. The optimization also works on ciphered or abstracted values.
8. Mathematical optimization instead of gut feeling
Project allocation belongs to the class NP-hard optimization problems.
Typical properties:
- exponentially growing decision space
- not solvable by linear models
- unsuitable for manual scenarios
The service combines:
- exact optimization methods
- heuristic search algorithms
- hybrid AI methods
The goal is not theoretical perfection, but a practically optimal allocation decision with maximum measurable effect.
9. Measurable benefits of optimized allocation
Real-life applications show that
- up to 60% higher ROI with the same budget
- significantly reduced bad investments
- more robust project portfolios
- transparent, comprehensible decisions
10. Who is the service relevant for?
The Project Allocation Online Optimization Service is aimed at organizations with:
- complex project portfolios
- limited budgets
- high investment responsibility
- strong conflicts of objectives and resources
11. Supplementation instead of system replacement
The service does not replace existing systems such as
- ERP
- PPM tools
- Controlling or BI systems
It supplements them with a mathematical allocation level, which has been missing until now.
12. Conclusion: Value is created through allocation
It is not projects that determine success, but their correct allocation.
The Project Allocation Online Optimization Service makes this decision for the first time calculable, reproducible and scalable.
Not as a method.
Not as a workshop.
But as a ready-to-use online service
for modern project and investment management.
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.