Same projects. Different combination. Greater results.
You can achieve higher returns with your existing projects.
We calculate the optimum scenario - before you decide.
Free of charge. Without obligation. Based on your existing projects.
StratePlan calculates the optimal portfolio where traditional tools reach their limits.
Instead of evaluating projects in isolation, we analyze all possible combinations - and identify the best solution.
The global optimum is not an assumption - it can be calculated.
Select business area:
Blog main article:
Decision intelligence for CapEx and project portfolios
Why traditional investment planning fails due to mathematical limitations - and a new category emerges
In almost every company today, billions are invested in factories, IT programs, real estate, infrastructure and product development. In practice, however, these decisions are still made as they were 30 years ago: with isolated business cases, Excel models and committee votes.
The problem is not a lack of professionalism.
The problem is math.
Because modern investment realities do not consist of individual projects - they consist of portfolios with dependencies, conflicting objectives, budget limits, risks, regulatory restrictions and strategic priorities. Each new project option doubles the scope for decision-making. With 30 projects, there are already over a billion possible combinations. With 50 projects, there are more than a quadrillion.
No management board, no CFO, no planning tool can systematically capture this space.
Why traditional CapEx planning is inevitably suboptimal
Traditional methods answer questions such as:
- "Is project A profitable?"
- "Does project B have a positive NPV?"
- "Does project C fit into our budget?"
But they do not answer the crucial question:
Which combination of projects generates the maximum total value under all real restrictions?
This is precisely where business cases, Excel, BI tools and PPM software fail. They evaluate individual projects - but they do not optimize portfolios.
The mathematical object behind this is a so-called NP-hard optimization problem. The number of possible project combinations grows exponentially (2n). From around 15-20 projects, the decision space is practically no longer manageable for human or linear tools.
The result: companies typically lose 30-50% of the potential portfolio value without realizing it.
Decision Intelligence: A new category is emerging
This is where Decision Intelligence for CapEx and project portfolios begins.
Decision Intelligence is not reporting.
It is not planning.
It is not classic AI.
It is the mathematical calculation of optimal decisions in highly complex, restrictive decision spaces.
Instead of asking:
"Which project is good?"
decision Intelligence asks:
"Which combination of projects is globally optimal?"
At the same time, it takes into account
- Budget restrictions
- Scarcity of resources
- Dependencies between projects
- Risk, resilience, ESG
- regulatory requirements
- strategic target weights
The result is not a gut feeling, but a calculated, comprehensible optimal solution.
Why AI alone is not enough
Pure machine learning models can recognize patterns - but they cannot optimize combinatorial decision spaces.
That's why real decision intelligence is based on hybrid AI:
- mathematical optimizers (mixed-integer programming, heuristics, branch-and-bound)
- combined with machine learning for forecasts, uncertainties and scenario simulations
Only this combination can calculate the one best portfolio out of billions of possible portfolios.
What this means for CFOs, board members and public investors
Decision intelligence makes investment management possible for the first time:
- globally optimal instead of locally plausible
- transparent instead of political
- reproducible instead of heuristic
- strategically controllable instead of Excel-driven
The central question shifts from:
"Which project do we approve?"
to:
"Which portfolio structure maximizes our overall long-term value?"
Category owner instead of tool provider
Decision Intelligence for CapEx and project portfolios is not a product category. It is a new way of thinking about investment decisions.
Companies that master this category are no longer competing on software features - but on the quality of their decisions.
And this is where a new standard is emerging:
Investing no longer means choosing.
Investing means calculating.
That is the category. That is the future. And that is the standard by which modern companies will be measured.
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.