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Increase ROI with AI
Why artificial intelligence is the decisive lever for measurably more impact today - and why classic optimization is reaching its limits
Executive Summary
The desire to increase ROI has always accompanied companies. What is new, however, is the realization measures - cost reduction, efficiency programs or isolated investment calculations - have largely exhausted their effect have largely exhausted their effect. Artificial intelligence opens up the possibility for the first time, ROI not just locally, but systemically.
This article shows how AI is used to increase ROI, why many AI projects miss their target and why decision-oriented systems such as and why decision-oriented systems such as StratePlan go the decisive step further: from analysis step further: from analysis to real optimization.
1. What does "increasing ROI with AI" really mean?
1.1 The common misconception
Many companies associate AI with automation, reporting or forecasting. These applications can bring efficiency gains, but rarely change the overall strategic return. The ROI increases selectively, not structurally.
1.2 The strategic perspective
Increasing ROI with AI does not mean making individual processes faster, but rather making better Decisions: Which projects are implemented, in which combination, at what Time and with what budget.
2. Why traditional ROI management is reaching its limits
2.1 Linear thinking models
Excel models, business cases and KPIs work linearly. They view projects in isolation and assume stable framework conditions. In reality, however, investment decisions are networked, dependent and dynamic.
2.2 Limited human decision-making ability
Above a certain level of complexity, humans are no longer able to consider all alternatives overview of all alternatives. Thousands of possible combinations arise with just a few projects. Gut feeling and experience systematically reach their limits here.
3. Where AI actually increases ROI
3.1 From forecast to decision
Most AI systems provide predictions or pattern recognition. This alone does not increase ROI. Only when this information is converted into concrete decision-making options and evaluated real added value is created.
3.2 Portfolio optimization instead of individual projects
AI unfolds its greatest leverage where many options have to be evaluated simultaneously: Investment portfolios, project landscapes, bundles of measures. This is where AI can identify combinations that cannot be understood by humans.
4. Increase ROI through weighting and prioritization
4.1 Multidimensional target systems
Companies rarely pursue just one goal. Strategic positioning plays a role alongside returns, Risk reduction, time factors or regulatory aspects also play a role. AI can weight these dimensions and consistently integrate them into decisions.
4.2 Avoiding typical misprioritizations
- Overestimation of short-term effects
- Underestimating dependencies
- Sticking to politically attractive projects
Systematic weighting means that projects are not prioritized by volume, but by impact prioritized.
5. Scenarios: AI as a robustness tester
5.1 ROI under uncertainty
An ROI that only works under optimal assumptions is strategically worthless. AI makes it possible to Evaluation of decisions across multiple scenarios - from optimistic to stress case.
5.2 Stability beats maximization
AI often shows that the best decision is not the one with the highest theoretical return, but the one that remains stable even in the event of deviations. This is precisely where sustainable ROI arises.
6. Why many AI projects do not increase ROI
6.1 Focus on technology instead of decisions
Many initiatives fail because they collect data, train models and build dashboards, without solving the actual decision-making question.
6.2 Lack of integration into management processes
AI results often remain isolated and are not bindingly embedded in decision-making processes. The ROI fizzles out because recommendations remain inconsequential.
7. StratePlan: Increase ROI through decision-capable AI
7.1 Basic principle
StratePlan is not a reporting or forecasting system, but a decision solver. The AI calculates not only what could happen, but also which combination of measures will achieve the highest overall ROI under real achieves the highest overall ROI.
7.2 Role of the human being
The CEO, CFO or market specialist defines goals, restrictions and strategic guidelines. StratePlan calculates this strategy and makes its impact measurable.
8. The measurable effect of AI-supported ROI optimization
In practice, a significant improvement in the overall effect can be seen in over 95% of cases. Typical effects are
- Up to 60% higher overall ROI with the same budget
- Reduction of failed projects
- Better staggering of investments over time
- Conscious, value-enhancing non-decisions
9. Typical fields of application
- Investment and budget planning
- Strategic transformation programs
- Innovation and R&D portfolios
- Restructuring and growth decisions
10. Governance, transparency and safeguarding
AI-supported ROI decisions are documented in a comprehensible manner. Alternatives, assumptions and Results are transparent. This strengthens the position vis-à-vis supervisory boards, investors and Investors and auditors and reduces liability risks.
11. Classic vs. AI-supported
| Aspect | Classic | With AI / StratePlan |
|---|---|---|
| Evaluation of | Individual projects | Overall portfolio |
| Complexity | Reduced | Fully calculated |
| Decision | Discussion | Optimization |
12. Conclusion
Increasing ROI with AI is not an automation project, but a paradigm shift in decision-making Decision making. Those who use AI to calculate better portfolios instead of just generating better reports generate better reports, you can tap into measurable and sustainable value potential.
FAQ - Increasing ROI with AI
Does AI replace management?
No. AI does not replace decisions, but makes them resilient and verifiable.
Is this only relevant for large companies?
No. Especially with limited budgets, the relative ROI gain is particularly high.
How quickly do the effects become apparent?
Often after the first well-founded portfolio calculation.
What does it cost to decide without AI?
Experience shows 20-60% lost impact per year.
Final thought:
AI does not automatically increase ROI. But it does make it systematically calculable for the first time.
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.