AI automation engineering

Automation fails on the exceptions, not the happy path. We put deterministic code on everything predictable and reserve model calls for the cases where language is genuinely ambiguous.

What we build

  • Agents with one scoped credential per task
  • Document and back-office pipelines with a human approval gate
  • Quote-to-cash and onboarding wired into the systems you already run

Intelligent RPA

Document and back-office automation that combines models for the messy 20% with deterministic code for the rest.

See the offer