AI that does the work
and shows its sources.

Less than most agencies imply, because we start with a scoped pilot: one workflow, your data, a working deliverable. The proposal itemises what ships, including the integrations, guardrails, evaluation and handover. Scaling beyond the pilot is priced only after the pilot has earned it.

The ones that fit your data, budget and residency requirements, decided in discovery. We're model-agnostic, and builds are structured so the model can be swapped without rework as better or cheaper options ship. What matters more is how answers are grounded, how failures are caught and how the system plugs into the tools and cloud you already run.

It stays yours. Work runs under NDA, and your documents and customer data ground your system and nothing else. Where needed we deploy inside your own cloud or private environment, on enterprise API terms under which providers don't train on your data. Retention, residency and access rules are agreed in the scope, and access is logged.

Any language model can, so our job is to make errors rare, visible and safe. Every assistant answers from your own documentation with sources shown, and when confidence is low it hands over to a human. It's tested against your real cases before launch, and the logs let you audit what was said and why.

Sometimes buy, and we'll tell you so in discovery. Off-the-shelf makes sense when the workflow is generic and the tool can reach your data. Custom earns its keep when the workflow is core to how you make money, answers must come from your documentation, or no tool integrates with your systems. Discovery ends with a written recommendation either way.

Whoever you choose: you're not locked to us. Every build hands over with documentation, admin training and a runbook your team can operate, under IP and ownership terms agreed before work starts. A light retainer for monitoring, evaluation re-runs and changes is the usual shape, itemised in writing and cancellable, or you run it in-house.

A working pilot, not a slide deck: one workflow, your own data and a working deliverable, built on the stack you already run. Guardrails, an evaluation suite from your real cases and a runbook for your team are included. Your materials remain yours, with deliverable rights, licences and handover agreed before work starts.