Process Automation

Measured on the process

Before anything is built, the process gets a baseline: cost per case, cycle time, error rate, human hours. The automation is then accountable to those numbers — and to nothing else. This is the entire method; everything below is execution discipline.

Where LLM automation actually pays

The sweet spot is the semi-structured middle: document intake, classification and routing, first-draft generation, reconciliation, triage. Work with judgement but bounded judgement — too irregular for old-school RPA, too voluminous for people. Fully deterministic flows don’t need a model; fully open-ended judgement shouldn’t get one.

Execution discipline

• Human-in-the-loop by design, with confidence thresholds deciding what routes to review — the automation earns autonomy case-type by case-type, on evidence.
• Failure paths are first-class. What happens on model error is designed, not discovered.
• Unit economics tracked from day one: cost per processed case, including inference — so scaling the automation never becomes its own budget surprise.
• Boring reliability: versioned prompts, evaluation sets, monitored drift. The same operational discipline we apply to any production system, because this is one.