Selo: Servicing Design Iterations in Under an Hour

Client: Aedifice

Engineer: Civix

Tech Solution: Service AI

Location: Auckland, New Zealand

Project: 210 lots, 243 buildings, 11 acres

Pipe network: More than 5 miles

Automated storm, sanitary and water-network design for 210 lots

Selo is an 11-acre residential development in Auckland with 243 buildings across 210 lots. Developer Aedifice partnered with engineering consultancy Civix to design an extensive utility network using Service AI.

The project included more than 5 miles of storm, sanitary and water-supply pipes. Service AI helped Civix coordinate pipe levels, sizing, engineering checks and council-standard drawings.

A detailed digital architectural rendering of an urban community layout, featuring multiple residential buildings with transparent blue roofs, roads, parking areas, green spaces with trees, and water features, illustrating a planned or conceptual city development.

The Challenge

The network needed to meet strict pipe-cover, clearance and minimum-grade requirements across a dense residential site. Civix had to avoid conflicts with retaining walls while considering capital expenditure (CAPEX) and operating expenditure (OPEX).

Flood resilience was also a key consideration in the catchment. Accurate invert levels, flow analysis and coordinated network design were essential.

Technology in Action

Service AI set every pipe invert to engineering rules, sized pipes to their contributing catchments and performed flow analysis. CAPEX and OPEX modelling supported network design, while built-in QA checked potential conflicts such as pipes close to retaining walls.

The workflow generated council-standard long sections, capacity tables and plans, reducing manual drafting. Trench volumes and excavation methods helped communicate construction requirements to the developer and contractor. Semi-automated TUFLOW modelling assessed flood performance.

The Results

Servicing design iterations that would have taken days were completed in less than an hour. Every pipe invert was designed without manual overrides, and the servicing design was built with zero amendments needed.

The network withstood the 2023 Auckland floods without damage. Nearly 1,000 automated QA checks supported the design review.

Explore Service AI for pipe-network design, read more civil engineering case studies, or discuss your servicing project.

“Iterations of servicing design took less than an hour. Every pipe invert was designed with no overrides. I was blown away by how accurate it was — an optimised design for the client.”

— Professional Engineer, Civix