AI saves time – but are you measuring the value?

End imprecise efficiency forecasts and opaque distribution formulas. The EncoSphera platform replaces gut decisions with an S-curve-based model that combines geometric means with industry-specific optimization coefficients. This mathematical precision creates a neutral, data-driven foundation for sensitive allocation questions, reduces internal conflicts of interest, and increases acceptance among executives and employees alike. The result: smooth change processes instead of exhausting fundamental debates.

With our proprietary mathematical parameter model, we translate the productivity gains from artificial intelligence into concrete added value for your company – and for your employees.

• Business advantage – Significant cost effects, strengthened competitiveness, and reliable decision-making bases instead of rough estimates.
• Employee focus – Performance-based distributions or flexible work time models ensure real participation in success and promote engagement.
• Transformation security – Transparent distribution of efficiency gains increases acceptance of new technologies, minimizes resistance, and shortens the path to amortization.

This creates a win-win ecosystem in which economic progress and human potential grow equally.

In a world where processes are increasingly automated, the human element becomes the decisive differentiator. Our dynamic rehumanization factor specifically identifies those activity areas where qualities such as creativity, empathy, and complex problem-solving create real added value. By consciously promoting these potentials, a culture of innovation, strong customer loyalty, and sustainable employee loyalty emerges – advantages that no AI can replicate.

Future security

With a clear focus on people, your company remains flexible, resilient, and ready for the next evolutionary stage of the workplace.

The Human Dividend Model is a mathematical framework that enables the distribution of AI efficiency gains between companies and employees. Based on a mathematical parameter model, it calculates how working time reduction, salary changes and AI investments can be optimally designed.

Four categories: Efficiency gains, Employee aspects, Company context, Rehumanisation factors. Using geometric means and S‑curve algorithms, the model yields precise distribution recommendations.

Implementation takes the form of a half‑day training & introduction – no on‑site technical setup required.

Basic company data (personnel costs, employee categories, working hours, revenue/profit, planned AI investments). All data handled GDPR‑compliantly and used solely for model computation.

Yes. Dynamic parameters allow adaptation to different industries and business models without complicating the core logic.

Through structured employee surveys that are converted into geometric means and integrated into the dynamic calculation of the rehumanisation factor.

The Quick Scan is a free 5‑minute quick test that allows you to determine your AI efficiency potential in CHF. Based on a few key data points such as industry, number of employees and current AI usage, you receive an initial assessment of your optimization potential – non-binding and without registration.

The EAS Score (EncoSphera Amplification Score) is a holistic metric from 0–100 that combines the three dimensions of Efficiency, Value Creation and Employee. It is calculated using weighted algorithms and enables benchmarking against industry averages as well as identification of specific optimization potential.

The Quick Scan provides an initial estimate of your AI efficiency potential in CHF in just 5 minutes – ideal for a quick start. The EAS Score, on the other hand, is a comprehensive analysis that evaluates all three dimensions (Efficiency, Value Creation, Employee) and delivers a precise score including benchmarking. It forms the foundation for the Human Dividend calculation.

The Measurement Process is a structured collection of all three dimensions of the EAS Score: Efficiency (AI-driven productivity gains), Value Creation (measurable business value contributions from AI) and Employee (workforce satisfaction and readiness). With our Measurement Kit, data collection is done retrospectively – without requiring a complex 4-week baseline. The process can be conducted as self-service or as a managed service and typically takes 1–2 weeks.

The EAS Score is based on validated data from all three dimensions – without accurate measurement, no reliable conclusions are possible. 83% of companies cannot measure their AI gains. The Measurement Process closes this gap: It provides the data foundation for a precise score, enables benchmarking against industry values and identifies specific optimization potential. Only with these measurement results can the Human Dividend be calculated fairly and transparently.