The manual work, removed — with AI in the loop.

Most teams lose hours a week to work software should do: copying data between systems, reading and sorting incoming emails and documents, chasing approvals, updating spreadsheets. LLMs are now good enough to handle the messy, language-heavy parts of that work — but only when they're wrapped in real engineering, not a demo.

We design each automation around a concrete workflow. We map the trigger, the steps, the tools it touches, and — critically — where a human needs to approve before anything irreversible happens. Then we build it: document extraction, classification and routing, data sync across your CRM/ERP/sheets, and multi-step agents that can use tools to complete a task end to end.

Reliability is the point. We add validation, retries, error alerts, and audit logs so you can see exactly what ran and why. Agents get scoped permissions and guardrails — they can only touch the systems and actions you approve. Nothing runs silently in a way you can't trace or roll back.

Every automation ships with a number attached: hours saved per week, turnaround time before vs after, error rate. We review it after launch, tune it, and expand to the next workflow once it's proven.