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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Project portfolio optimization service with AI
Up to 60% more value from your project portfolio - with the same budget
Executive Summary
Companies, corporations and public institutions lose considerable value potential every year - not due to a lack of ideas, lack of ideas, missing data or insufficient budgets, but through systematically suboptimal project decisions. In complex Project portfolios with dozens or hundreds of projects, traditional planning is no longer sufficient. Excel, scenario techniques, Scorecards or empirical knowledge fail structurally as soon as dependencies, conflicting goals, budgets, risks and strategic constraints have to be considered simultaneously And strategic constraints have to be taken into account at the same time.
This is precisely where our Project Portfolio Optimization Service comes in. It replaces estimation, simplification and political compromises with mathematically calculated, objectively optimal portfolio decisions. The result: Up to 60% more economic benefit, impact or ROI from existing project portfolios - without additional budget.
The decisive difference lies not in better data, but in a fundamentally different decision-making logic. While classic Methods only evaluate individual projects or compare a few scenarios, our optimization approach analyses the entire decision space analyzes the entire decision space. Instead of ten or twenty alternatives, millions to billions of possible project Project combinations are evaluated simultaneously - including all dependencies, target systems and restrictions.
The result is not just another report, but a concrete, reliable answer to the central management question:
Which project combination delivers the maximum possible overall value under real-life conditions?
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The structural problem of classic project portfolios
1. Projects are viewed in isolation
In practice, projects are prioritized individually: Business case, ROI, scorecard, traffic light. What is systematically overlooked is the Portfolio effect. A project can be attractive in isolation and still destroy value in combination with other projects Destroy value - for example by displacing resources, tying up budgets or conflicting objectives.
2. Complexity is reduced - not solved
As soon as portfolios become too complex, organizations react by simplifying them:
- Reduction to a few criteria
- Creation of rough scenarios
- Blanket budget caps
- Linear assumptions
This reduction makes decisions manageable, but not optimal. Value potentials remain invisible.
3. Decision spaces explode exponentially
With just 30 projects, each with four options, there are over 1018 possible portfolios. No human being, no committee and no Excel model can even begin to survey this space. Decisions are inevitably heuristic - in other words i.e. approximate, not optimal.
4. Experience is no substitute for calculation
Management experience is valuable, but it does not scale with complexity. The larger and more interconnected a portfolio becomes, the more dominant cognitive biases, political interests and implicit assumptions dominate.
What makes our Project Portfolio Optimization Service fundamentally different
Our service is based on mathematical optimization and decision intelligence. The aim is not to support decisions support decisions, but to calculate them objectively.
1. Portfolio instead of project logic
We do not optimize projects, but project combinations. Each project is not evaluated in isolation, but exclusively in the context of all other projects, budgets, objectives and ancillary conditions.
2. Complete decision spaces instead of scenarios
Instead of simulating a few scenarios, we analyze the entire relevant decision space. All permissible Combinations are checked algorithmically - including dependencies, minimum requirements, exclusion rules and conflicting objectives.
3. Multidimensional target systems
Modern portfolios do not follow just one objective. Typical conflicting objectives are:
- ROI vs. risk
- Profitability vs. ESG
- Short-term cash flow vs. strategic impact
- Innovation vs. stability
Our optimization approach integrates several targets simultaneously instead of weighting or simplifying them politically.
4. Real restrictions instead of ideal assumptions
Budget limits, capacities, regulatory requirements, dependencies, time constraints - all these factors are modeled hard. The result is not a theoretical optimum, but a portfolio that can be implemented in reality.
How we get up to 60 % more out of your portfolio
Step 1: Structuring the decision space
We start by formally mapping your portfolio:
- Projects and options
- Budgets and resources
- Dependencies and exclusions
- Targets and priorities
This is not about additional data volumes, but about clean decision-making logic.
Step 2: Mathematical modeling
This information is used to build an optimization model that fully represents the real decision space. This model replaces implicit assumptions with explicit rules.
Step 3: Algorithmic optimization
Specialized optimization methods analyze millions to billions of possible portfolios. Not heuristically, not linearly, but systematically and reproducibly.
Step 4: Identification of the optimal portfolio
The result is one or more demonstrably optimal portfolios that deliver the maximum possible value under the given framework conditions Value under the given conditions.
Step 5: Transparent basis for decision-making
All results can be explained:
- Why this portfolio is better
- Which projects are included - and which are not
- Which conflicting objectives were resolved and how
Management and committees retain control at all times.
Why the increase in value is so high
The increase of up to 60 % is not the result of efficiency improvements in individual projects, but of systemic effects:
- Avoidance of cannibalization between projects
- Better use of scarce resources
- Resolution of hidden conflicts of objectives
- Elimination of seemingly attractive but portfolio-damaging projects
- Activation of previously invisible combination potential
In traditional portfolios, these effects remain undetected - not due to negligence, but due to mathematical impossibility.
Typical fields of application
Our Project Portfolio Optimization Service is used, for example, in
- Strategic investment portfolios
- Transformation and digital programs
- Research and development portfolios
- Infrastructure and large-scale projects
- Public budget and funding programs
- M&A and post-merger portfolios
The greatest leverage is created wherever many projects compete for limited resources.
Differentiation from traditional tools and consulting
| Classic approaches | Project Portfolio Optimization Service |
|---|---|
| Scenarios (5-10) | Complete decision space |
| Individual project ROI | Total portfolio optimum |
| Linear models | Non-linear optimization |
| Gut feeling & experience | Calculated decisions |
| Reporting | Decision making |
Our service does not replace leadership, but creates the basis for decision-making that makes leadership effective.
Governance, acceptance and implementation
A common objection is: "But decisions are political." That is correct - and that is precisely why transparency is crucial.
Our approach does not create a black box, but an objective reference. Deviations from the optimum become visible and conscious - not implicit and uncontrolled.
This increases:
- Decision quality
- Traceability
- Acceptance in committees
- Audit security
Conclusion: Decisions are the biggest value driver
In complex organizations, it is not the budget that determines success, but the quality of the portfolio decisions. Those who continue to simplify, estimate and prioritize is systematically giving away value.
Our Portfolio Optimization Service project enables a paradigm shift: from plausible decisions to optimally calculated decisions.
The result is up to 60% more value, impact or ROI - not through more work, but through better decisions.
If you wish, we can analyze your portfolio without obligation and show you specifically what value potential remains untapped today.
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.