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Algorithm-based management consulting for CEO, CFO and board of directors
Algorithm-based management consulting marks a fundamental paradigm shift in the strategic management of companies. In a world of growing complexity, limited resources and non-linear interactions, traditional consulting models - characterized by experience, benchmarks and linear business cases - are reaching their structural limits. Decisions are often interpreted, discussed and politically negotiated rather than objectively optimized.
This is precisely where the algorithmic approach comes in. It translates strategic, financial and operational management decisions into calculable decision spaces in which all real restrictions - budget, time, resources, dependencies and risks - are explicitly modeled. Instead of evaluating individual projects on this basis, all possible combinations of projects and measures are systematically analyzed. The result is not a recommendation, but the demonstrably best decision portfolio under the given framework conditions.
For the CEO, this means the transition from visionary strategy to mathematically validated implementation. Strategic guard rails, priorities and conflicting objectives are not watered down, but rather mathematically clarified. The CEO remains the strategic architect - the algorithm ensures consistency, scalability and decision-making discipline.
The CFO is evolving from a manager of budgets and forecasts to an architect of optimal capital allocation. Investment decisions, CapEx priorities and portfolio structures can be objectively justified, transparently documented and secured vis-à-vis the supervisory board, investors and auditors. Forecasts are not abolished, but lose their dominant role in favor of calculated alternative courses of action.
Algorithm-based consulting creates a new quality of governance for the executive and supervisory board. Decisions become comprehensible, comparable and audit-proof. Political bias, personal preferences and asymmetric information lose influence, while liability and reputational risks are measurably reduced.
Central to this is the realization that strategic decisions explode in combinatorial terms: Just a few projects generate thousands to billions of possible decision portfolios - an order of magnitude that systematically overwhelms human thinking. Algorithms can fully calculate this complexity and often deliver counter-intuitive but demonstrably superior results. It often turns out that fewer projects, combined in a targeted manner, generate a higher overall benefit than maximum actionism.
Algorithm-based management consulting is therefore neither classic software nor traditional consulting. It is a new thinking and management model that does not replace intuition, but validates and improves it. Managers continue to make decisions - but on an objective, mathematically validated basis.
For CEOs, CFOs and boards, one thing is clear: in future, the winner will no longer be the one who argues most convincingly, but the one who can calculate decisions under real restrictions. Algorithm-based management consulting makes precisely this possible - and thus defines the next evolutionary stage of professional corporate management.
Get to know algorithm-based management consulting for CEOs, CFOs and boards now
Sascha Rissel is an entrepreneur, founder and CEO of mAInthink GmbH, as well as a Board Member of KI Bundesverband Hessen and a WEF SME Member. For more than 20 years, he has been developing, scaling and optimizing technology-driven business models at the intersection of corporate strategy, technology and mathematical decision optimization.
With StratePlan, mAInthink is developing a Decision Intelligence solution for the mathematical optimization of CAPEX, capital allocation and investment portfolios in fixed assets. The objective is to calculate the optimal combination of investment projects under real-world budget, resource and dependency constraints, enabling organizations to generate greater impact from their existing capital.
Sascha Rissel's work focuses on CAPEX Optimization, Capital Allocation Optimization, Project Portfolio Optimization, Multi-Year CAPEX Strategy Planning and Live Boardroom Simulation. StratePlan combines mathematical optimization, algorithmic decision models and Hybrid AI to translate complex investment decisions into measurable business performance.
With CAPEX Live Boardroom Simulation, changes in budgets, priorities and constraints can be recalculated during a board meeting, alternative portfolios can be compared, and trade-offs can be made immediately visible. This transforms a sequential planning process into a new decision loop: question, calculation, comparison and decision within the same meeting.
Through the StratePlan Online Decision Service, Sascha Rissel also advances the concept of “Decision Intelligence 4 All”: making mathematical decision optimization accessible not only to large corporations, but also to mid-sized companies and the public sector.
Sascha Rissel regularly contributes his expertise through professional publications on Project Portfolio Management (PPM), CAPEX Optimization and Decision Intelligence. His work includes specialist contributions within the professional environment of the GPM German Association for Project Management, and he is a specialist author for ControllingPortal, writing about mathematically grounded approaches to investment, portfolio and corporate performance management.
His work focuses on measurable impact, transparent and robust decision-making, and transforming highly complex mathematical models into practical solutions for industry, business and the public sector.
His guiding principle: bringing strategy, technology and impact together consistently – and turning decisions into measurable performance.