ROI Calculator

Estimate the ROI of AI orchestration realistically in just a few minutes.

The calculator quantifies the economic leverage of AI agents — not as a buzzword, but as concrete cost and saving logic: team size, salary structure, repetitive work, automation rate, plus implementation and operating costs.

Conservative estimate, not hype
Usable for SMBs and Enterprise
Calculated instantly in your browser
Calculate directly

Enter the key parameters.

The calculator is based on the same logic as before: personnel costs in the affected area, share of repetitive work, realistically automatable share, plus one-off and ongoing costs.

Your Data

All values are estimates. The calculator deliberately shows conservative values.

How many people work in the processes to be automated or orchestrated?

35%

35% of working time is repetitive tasks

50%

50% of that can be handled by AI agents

MVP setup including configuration, integration and testing.

API costs, hosting, monitoring and support.

Hinweis

This calculation shows conservative estimates. The actual ROI depends on your specific processes. Factors like error reduction, faster cycle times and higher data quality are not included.

Methodik

What goes into the calculation and what stays deliberately conservative.

Kostenbasis

personnel costs x repetitiver share

We first calculate which cost block is currently tied to recurring, rule-based work. This creates an honest baseline without AI marketing rhetoric.

leverage

Automation rate statt Vollautomatisierungsfantasie

The calculator doesn't assume 100% takeover. It only evaluates the share that orchestrated AI systems and agentic workflows can realistically carry.

Invest

Setup plus Betrieb

One-off implementation and ongoing AI costs are netted out clearly. This shows when an MVP actually amortises and what the 3-year ROI looks like.

Naechster Step

If the numbers make sense, we validate them against your actual processes.

In the strategy call we examine which use cases make sense first in your company, which data sources are actually needed, and how a solid MVP is built.

strategy call anfragen See use cases