Document Recognition for a Full-Cycle Construction Company

Client:
An end-to-end construction and operations company — from design to commissioning.

Challenge:
14 employees were manually processing technical documentation from contractors, spending dozens of hours per week and encountering error rates of up to 10%.

Solution:
We implemented a custom AI system for document recognition, classification, and metadata tagging — including automated reports and smart labels.

Impact:
Processing accuracy increased to 98%, and internal workflows were accelerated from several hours to just minutes.