ROI Calculator: AI Integration vs. Manual Processes

AI is especially worthwhile for: recurring cognitive tasks (document processing, customer inquiries, data analysis), high error costs from manual processing, processes with increasing volume, and tasks that need to be available 24/7. The break-even typically falls between 4-18 months.

The investment varies significantly: Simple AI tools for specific tasks (e.g., document classification) from €14,000 excl. VAT. Medium AI projects (e.g., chatbot with knowledge base) €28,000 – 70,000 excl. VAT. Complex AI systems (e.g., predictive analytics) €70,000 – 210,000 excl. VAT. Ongoing costs are €140 – 1,400/month for hosting and API usage.

Ongoing costs include: API usage for AI models (e.g., OpenAI, Azure AI) €70 – 1,050/month depending on volume, hosting and infrastructure €70 – 350/month, monitoring and maintenance €140 – 350/month, occasional adjustments for new requirements. In total, typically €350 – 1,750/month – significantly less than the saved personnel costs.

Modern AI systems achieve accuracy rates of 85-98% depending on the task. For structured data (e.g., invoices, forms), 95-98% is realistic. For unstructured text (e.g., emails, documents), typical values are 85-92%. Accuracy improves with training and feedback. We recommend a pilot phase to measure actual performance.

AI is not advisable for: very low volume (less than 20 h/month), extremely variable processes without patterns, tasks requiring human empathy (e.g., grief counseling), very low error costs, and processes that are already fully automated. In these cases, traditional automation or manual processing is often more cost-effective.

The calculator compares total costs over 5 years: Option A (without AI) = personnel costs + error costs, rising by the annual cost increase. Option B (with AI) = one-time investment + reduced personnel costs + reduced error costs + ongoing operating costs. Break-even is reached when Option B becomes cheaper. The calculator accounts for automation level and error reduction through AI.

AI models achieve typical accuracy rates of 85–98% for trained tasks. For structured data like invoices or forms, 95–98% is realistic. Accuracy continuously improves through feedback and retrained models. For critical decisions, we also implement confidence scoring, so uncertain cases are forwarded for manual review.

Professional AI systems use confidence scoring and a human-in-the-loop approach. This means: the AI evaluates its own certainty with every decision. If the confidence score falls below a defined threshold, the case is automatically forwarded to an employee for manual review. This ensures no erroneous decisions slip through.

No, we handle the development, training, and operation of the AI solution. Your team uses the AI through a user-friendly interface or integrated into existing systems – without any AI knowledge required. On request, we train your employees in using the solution and offer a managed service for ongoing operation and further development.