How we calculate our results
At Mobizze, we believe in accurate, verifiable, and transparent data. We detail below the methodology behind the automation metrics and financial impact figures displayed throughout our website.
What counts as an automation?
We define an "automation" as any workflow, AI agent, or system integration that autonomously executes tasks without requiring manual human intervention. Examples include: automatic invoice data extraction into an ERP, instant lead qualification and CRM logging, or autonomous customer e-mail triage.
How many clients were analyzed?
Our aggregate metrics are based on data analyzed from over 45 active and past B2B clients and more than 200 individual automation workflows deployed by our engineering team and consulting partner network across Europe and worldwide.
How is satisfaction calculated (98%)?
Our 98% satisfaction rate is derived directly from client quality surveys (CSAT and NPS) administered periodically to operations managers following the initial 90 days of project deployment, combined with our annual contract retention rate for infrastructure maintenance and support.
What time period is covered?
The data displayed reflects cumulative deployment history and ongoing performance monitoring from January 2024 through the current quarter of 2026, ensuring that figures accurately represent the capabilities of modern enterprise AI models.
Do data include group companies?
Yes. Our data includes metrics measured within partner and affiliated industrial companies—such as Portugal Textile and Portugal Shoes—where our core architectures were rigorously benchmarked in real manufacturing and commercial environments, as well as dozens of external clients across retail, real estate, and healthcare.
Measured vs. estimated results
Case study specific metrics (e.g., "80% reduction in administrative work," "22% increase in conversion") were directly measured and audited in operations before and after deployment. Sitewide aggregate figures (e.g., "1,250+ hours saved" or "up to 50% less admin work*") represent conservative estimates calculated by multiplying task volume by previous manual execution time.
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