Composable AI steps inside existing workflows — classification, extraction, drafting, and review, wired into production systems.
Replacing an entire workflow is rarely the right first move. Inserting an intelligent step where the bottleneck actually is delivers value in weeks.
We identify the constraint, build the step, measure it against the manual baseline, and only then expand scope.
Incoming work is categorised and directed with confidence scoring.
Structured data pulled from unstructured inputs with field-level confidence.
First drafts prepared for human approval, never auto-published.
Sampling and review loops keep accuracy visible over time.
Current handling time and error rate are measured.
An AI step is added at the constraint point.
The step runs alongside humans without acting.
Confidence thresholds are set and the step goes live.
Adjacent steps are automated once stable.
First measurable improvement inside a single quarter.
Shadow mode proves accuracy before anything changes.
Each stable step makes the next one cheaper.
