AI & Automation

We run a short evaluation phase against your real data with a success bar agreed up front. Sometimes the honest outcome is that a deterministic rule or a fixed integration solves it more cheaply, and we’ll say so.

We’re model-agnostic — frontier APIs or open-weight models hosted in your environment, chosen per use case for cost, latency and data residency. The orchestration layer is built so swapping models is a config change, not a rewrite.

No. We use enterprise endpoints with training opt-out, or host open-weight models inside your own infrastructure where data residency demands it. Which one we pick is a decision we make with you, not for you.

Scoped permissions per action, explicit guardrails, evaluation suites that run on every change, and full logging so anything automated can be audited and reversed. Nothing ships that can’t be rolled back.

A scoped system typically goes from evaluation to production in six to eight weeks. The eval phase is deliberately short and cheap so you can stop before the expensive part if the numbers don’t hold up.