Automate Business Processes with AI.

Processes with the highest ROI are those with high volume, definable rules and structurable data: invoice and contract processing, support ticket classification, form and PDF data extraction, recurring report generation and customer onboarding. The process diagnostic identifies which ones deliver positive ROI within 3 months.

Traditional RPA automates exact steps and breaks if the format changes. AI automation understands context, handles variability and can process unstructured documents, free text or images. For heterogeneous documents, emails or requests, AI is the only viable option. For fixed-structure processes, RPA + AI combined is most efficient.

A well-defined automation (e.g. ticket classification or document data extraction) can be in production in 4–8 weeks. More complex projects with multiple integrated processes connected to legacy systems require 3–6 months. The initial diagnostic provides the exact timeline.

We define metrics before starting: person-hours saved per week, process cycle time reduction, before/after error rate and cost per transaction. A typical document processing project reduces human time spent on that task by 60–80% — with return on investment in 4–9 months.