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.
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Blog main article:
Calculate maximum profit AI
why classic methods fail and StratePlan makes the difference
Executive Summary
Maximum profit is not an estimate, but the result of a fully calculated decision architecture. However, in business practice - especially at CEO and CFO level - this goal is regularly missed. The reason is structural: as the number of projects, investment options and constraints increases, the decision space explodes exponentially. At this point, experience, intuition and spreadsheets fail in equal measure.
Traditional tools such as Excel or linear business cases are designed for isolated considerations. They optimize individual projects or compare a few variants. What they cannot achieve is the simultaneous calculation of all project combinations, including dependencies, budget restrictions, risks, timing effects and strategic conflicts of objectives. From as few as seven projects, there are more than 128 possible portfolios - with ten projects there are over 1,000, with fifteen projects over 32,000. In real corporate or real estate portfolios, we are quickly in the millions or billions of possible combinations.
This is exactly where StratePlan comes in.
StratePlan is not a traditional management consultancy or reporting tool. It is an algorithmic decision-making intelligence that calculates the maximum achievable profit - under real constraints. Instead of evaluating projects individually, StratePlan calculates the optimum project mix, the correct sequence, the exact budget allocation and the highest possible total return for the entire portfolio.
The decisive difference:
StratePlan does not look for a "good" solution, but for the best mathematically possible one.
Several optimization methods are used in parallel - from branch & bound and dynamic programming to heuristic and evolution-based algorithms. These work redundantly and independently of each other. The result is not a gut feeling or a simplified model assumption, but a robust, resilient decision that remains stable even under changing conditions.
For board members, managing directors and financial decision-makers, this means a paradigm shift:
- Away from experience dominance
- Away from politically motivated project prioritization
- Away from Excel-based approximations
Towards a calculated strategy in which it is transparently comprehensible why a certain portfolio delivers the maximum profit - and why all other variants are objectively worse.
In a time of tight budgets, rising capital costs and increasing complexity, the question will no longer be whether companies need to calculate their decisions, but rather how long they can afford not to do so.
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.