Enter your organization's data and get an immediate estimate of the expected return on investment in assessing and developing AI readiness.
* Numbers are estimates based on industry studies
Every number in the calculator is based on published studies and documented sector data. Below is an explanation of each formula and its source.
Organizations spend between 2%–6% of total salaries on training (average 5%). Pre-measurement reduces waste by 35% by precisely targeting programs to actual gaps.
Studies indicate IBM until 66% of organizations achieve tangible productivity improvements from AI. Coefficient 50% Reflects that only half of the improvement is achieved in the first year. Sector ratios are based on reports McKinsey andCisco AI Readiness Index.
A study indicates MIT (2025) until 80%–95% of projects AI fail to achieve measurable value. Coefficient 8× Reflects the average cost of failure compared to the cost of early measurement that prevents it.
| Sector | The Coefficient | Source |
|---|---|---|
| Information Technology | 15% | McKinsey 2024 |
| Financial and Banking | 12% | IBM 2025 |
| Government and Public | 10% | Cisco 2025 |
| Industrial and Manufacturing | 13% | McKinsey 2024 |
| Healthcare | 11% | IBM 2025 |
| Education | 8% | OECD 2024 |
| Retail and Services | 9% | McKinsey 2024 |
These ratios reflect the average expected annual productivity gains from adopting AI per sector.
Pricing tiers are based on market data for similar organizational readiness measurements and the cost of internal development for the same measurement.
This calculator provides Indicative estimates No guarantees. Actual numbers vary depending on: