AI Systems Implementation

What this is for

You know what you want to build. You need a partner who can ship it, into your stack, against your data, behind your auth, and stand behind it on the other side.

AI Systems Implementation is the end-to-end build engagement. We work in two-week iterations and demo into production behind a feature flag from week four. By the time we are done, your system is live for a controlled cohort and has observability you can actually look at.

What "production-grade" actually means

• Evals on every change. A test suite that runs against the model output, not just its code. We fail builds when quality regresses.
• Structured observability. Every call traced. Every input and output logged with redaction. Drift visible before users notice.
• Identity and permissions. The model sees what the user is allowed to see. Nothing more. Audited.
• Integration hardening. Real connectors to your CRM, ERP, helpdesk, warehouse, with retry, dedupe, and reconciliation.
• Operational dashboard. Quality, latency, cost, deflection, and dollars-saved on a single page. Built for the operator who runs it after we leave.

How we work

Two-week iterations. Weekly demos. A single Slack channel. A shared backlog you can see. No surprises at the end of the engagement.

We bring a senior engineer, a systems integration lead, and a product partner who owns the outcome. We do not run pyramid teams; we do not bill junior overhead. The bench is small and senior.

What you will have at the end

• A production system, live for a controlled cohort, behind a feature flag.
• An eval suite and observability dashboard your team owns.
• A written runbook for the operational rotation.
• A retainer proposal for Phase 04, Operate, if you want one.