SYSTEM EXAMPLES

Things we've built.

A system can be a strategy, a workflow, a dashboard, an automation or a focused tool. These examples show the kind of problems Systems House can take from idea to working implementation.

Showing 3 examples.

Lifecycle engine for a DTC brand

Email, paid, and analytics wired into one revenue view.

The situation. Three channels, three sets of numbers, and a weekly report rebuilt by hand every Monday morning. Nobody could say what a customer was worth without opening four tabs.

What we built. A single conversion definition written into a warehouse, with the email platform, ad accounts and storefront all reading from and writing to it. Lifecycle flows rebuilt on top of the unified customer record, and reporting automated end to end.

Result. Fourteen hours a week of manual reporting removed, email-attributed revenue more than doubled against the same send volume, and one number everyone in the business agrees on.

AI intake and triage for a services firm

Inbound requests classified, routed, and drafted before a human touches them.

The situation. Every inbound request landed in one shared inbox and waited for whoever opened it first to decide where it should go. Response times were measured in hours and depended entirely on who was on shift.

What we built. A classification and routing layer sitting in front of the existing inbox — no new interface for the team to learn. Requests are categorised, routed to the right queue, and a first-draft response is prepared for review. Anything the classifier is unsure about goes to a human queue with its reasoning attached.

Result. Eighty-three per cent of inbound is now triaged without a person, average first response fell to four minutes, and the team adopted it immediately because nothing about their day-to-day tooling changed.

Pipeline system for a B2B team

CRM, enrichment, and forecasting connected end to end.

The situation. The CRM had been configured for a sales motion the company had stopped running two years earlier. Reps kept their real pipeline in a spreadsheet, and the forecast was assembled in a meeting.

What we built. Pipeline stages redesigned around how the team actually sells, with entry and exit criteria written down. Enrichment and routing automated on the way in, quote and approval flows automated on the way out, and forecasting generated from stage data rather than from opinion.

Result. Win rate up thirty-one per cent, every open deal visible in one place, and the whole thing live in six weeks.