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Decision debt: the invisible value destroyer in the portfolio


The most expensive projects are often those that were never decided on.

In almost every corporation, municipality, and organization, there exists a silent cost block that appears in no P&L, shows up in no KPI report, and yet systematically destroys value: Decision Debt.

Decision Debt refers to the sum of all projects, initiatives, and undertakings that have neither been consistently prioritized nor cleanly terminated – they remain in the system, tying up capital, personnel, and management attention, without ever having been part of a consciously optimized decision.

For CFOs, executive boards, and public-sector decision-makers, this is not an operational detail but a strategic risk. Because while classic wrong decisions are visible and can be corrected, Decision Debt acts quietly, persistently, and exponentially.

This article shows why undecided projects are more dangerous than wrong decisions – and why the global optimum of a portfolio remains unattainable without ex-ante calculation.

1. What Decision Debt really is – and what it is not

Decision Debt is not a budget overrun. Decision Debt is not a project delay. Decision Debt is not an operational error.

Decision Debt arises where decisions are avoided, postponed, or politically neutralized.

Typical symptoms:

  • “Let’s just keep the project running for now.”
  • “We’ll decide next quarter.”
  • “The topic is too sensitive to address right now.”
  • “We currently lack a sufficient data basis.”

From a CFO’s perspective, this means: capital remains tied up without ever having been consciously allocated.

2. Why non-decisions are more expensive than wrong decisions

A wrong decision has one clear advantage: it is finite.

It generates costs – but it releases capital once it is terminated or corrected. A non-decision, by contrast, generates ongoing costs with no end date.

Decision Debt acts like a permanent shadow item:

  • tied-up CAPEX
  • tied-up FTEs
  • tied-up management capacity
  • distorted portfolio transparency

And above all: it prevents better alternatives.

Every resource locked into an undecided project is missing from the globally optimal portfolio.

3. Decision Debt is not a cultural problem – but a calculation problem

Decision Debt is often psychologized:

  • “The organization is weak in decision-making.”
  • “There is too much politics.”
  • “Governance is too complex.”

This falls short.

In reality, Decision Debt arises because classical decision models are overwhelmed by complexity. Beyond a certain number of projects, the decision space explodes exponentially.

With just 50 projects, there are already more than one quadrillion possible project combinations. No committee can compare these options – so decisions are postponed.

Decision Debt is therefore not a human weakness, but a consequence of mathematical limits.

1 out of 1.125 quadrillion – guess or calculate?
Impact / cost efficiency
What is not calculated is guessed
1 : 1.125 quadrillion decision combinations

A comparison of scale:

our Milky Way and a corporate decision space with “only” 50 projects
Our Milky Way has 100–400 billion stars



~1011
A German large corporation with 50 projects has a decision space
of 1.125 quadrillion possible project combinations

~1015
A large-corporate decision space has more combinations than the Milky Way has stars.

4. The CFO fallacy: budget allocation ≠ value creation

A common misconception is: “As long as the budget is approved, the project is legitimized.”

But budget approval does not replace an optimality check.

A project can be budget-compliant – and still massively value-destructive if it is inferior to alternative project combinations.

Decision Debt arises precisely here: projects are not stopped because they are formally correct – not because they are optimal.

The global optimum, however, does not ask for formal correctness, but for maximum total benefit.

5. Decision Debt as an opportunity-cost multiplier

Opportunity costs are traditionally considered ex post: What could have been done differently?

Decision Debt dramatically exacerbates this problem because it permanently locks in opportunity costs.

As long as a project is undecided, all better alternatives remain blocked.

This means: Decision Debt multiplies opportunity costs over time.

The longer a project remains in limbo, the greater the lost benefit of the optimal portfolio.

6. Why classical PPM methods fail to detect Decision Debt

Project portfolio management typically works with:

  • scores
  • prioritization lists
  • traffic-light logic
  • business cases per individual project

All of these instruments evaluate projects in isolation.

Decision Debt, however, arises between projects – in the decision space.

A project can look “green” in isolation and still have no place in the optimal portfolio.

Without ex-ante optimization, this contradiction remains invisible.

7. Ex-ante decision calculation as debt reduction

Decision Debt cannot be reduced through more meetings.

It can only be reduced through a fundamental shift in perspective:

Decisions must be calculated before they are implemented.


Ex-ante optimization does not look at individual projects, but at the entire decision space.

It answers a different question:

Which combination of projects maximizes total benefit under all constraints?

Only then do undecided projects become visible – and assessable.

8. Decision Debt and liability: an underestimated risk

For executive boards and CFOs, one aspect is becoming increasingly important: decision traceability.

It is not KPIs that carry liability – it is the decision-makers.

Decision Debt is highly risky in this context because it lacks a documented decision rationale.

A project that “just kept running” is legally far harder to defend than a decision justified by calculation.

Ex-ante optimization therefore reduces not only economic risks, but also personal ones.

9. The global optimum knows no “untouched projects”

In many organizations, there are projects that are effectively beyond questioning.

They are considered given – for historical, political, or reputational reasons.

The global optimum makes no such distinctions.

It recognizes only benefits, costs, constraints, and interactions.

This is precisely its strength: it replaces political debate with mathematical clarity.

10. Conclusion: Decision Debt is avoidable – but not intuitive

Decision Debt is not a marginal phenomenon.

It is the logical consequence of growing complexity and limited human decision capacity.

Those who ignore it pay continuously – without realizing it.

Those who calculate it ex ante transform uncertainty into strategic control.

FAQ – Frequently asked questions about Decision Debt

What is the difference between Decision Debt and technical debt?

Technical debt arises from short-term technical decisions. Decision Debt arises from omitted or postponed strategic decisions and directly affects capital allocation and portfolio quality.

Can Decision Debt be measured?

Yes – but not through classical KPIs. It becomes visible through ex-ante portfolio optimization, which shows which projects have no place in the globally optimal portfolio.

Why is classical PPM insufficient?

Because PPM evaluates projects in isolation. Decision Debt arises from interactions between projects – and these can only be captured mathematically ex ante.

Is Decision Debt a governance problem?

No. Governance often unintentionally reinforces Decision Debt, but it is not its cause. The cause lies in the overload of classical decision models.

How quickly can Decision Debt be reduced?

Surprisingly quickly. Once the decision space is calculated, undecided projects lose their political protection.

Why is this particularly relevant for CFOs?

Because Decision Debt ties up capital, multiplies opportunity costs, and is liability-relevant – without being visible in classical reports.

Author: Dr. Igor Kadoshchuk CTO mAInthink

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.

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