Each data upload passes through three sequenced AI agents that extract, quantify, and solve. All processing runs locally on your infrastructure — sovereign by design.
Scans unstructured data to identify discrete process leaks — the specific moments where processes break, stall, or silently repeat. Converts raw operational noise into a structured catalogue of friction events.
Attaches a euro value to every discovered problem using frequency data, salary benchmarks, and opportunity cost modelling. Outputs through a visual Leak Heatmap — the most expensive problems ranked first.
Drafts deployable agentic workflows that automate or eliminate each identified process leak, using the LeakDetect low-code library. Solutions are reviewed by the client before deployment on their own infrastructure.
The Leak Heatmap: a quantified, prioritized map of every hidden operational cost.