Each data upload passes through three sequenced AI agents that extract, prioritise, and solve. All processing runs within your chosen environment — sovereign on-premise or private cloud.
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.
Assigns a quantified impact score to every discovered problem using frequency data, process criticality, and business disruption modelling. Outputs a visual Process Heatmap — the most critical problems ranked first.
Drafts deployable agentic workflows that automate or eliminate each identified process leak, using the Sift8 low-code library. Solutions are reviewed by the client before deployment on their own infrastructure.
The Process Heatmap: a prioritised, auditable map of operational process leaks ranked by business impact.