NAC Platform Platform Design & Development

NAC is a platform engagement covering the full path from structure to shipped software. CodyFlect was responsible for both the design and the development: defining how the platform is organised, designing its interface, and building the system that runs it.

Because one team handled architecture, interface and engineering, decisions made on the whiteboard survived into production — the screens reflect how the data actually works, and the code reflects how the screens were designed.

Platform projects are decided by structure. Roles have to be clear, data has to relate correctly, and the same handful of screens get reused across every part of the system — so an early mistake in structure multiplies everywhere.

The second challenge is legibility. As records, states and actions accumulate, interfaces that seemed simple during design become dense in use. The design had to stay understandable at real data volumes, not just in a demo.

• Define a clear information architecture before any interface work began
• Design a consistent, component-driven interface across every screen
• Model the data so related records stay reliable as the platform grows
• Build role-based access so people see only what is relevant to them
• Leave a maintainable codebase the client team can keep working on

1. 01 We worked in the order that platform projects reward: requirements and structure first, then interface design, then an iterative build against a fixed component set.
2. 02 The system was delivered in reviewable stages. Each stage ended with something the client could actually use and click through, so feedback arrived while changes were still inexpensive.

The interface is component-driven: navigation, tables, list rows, form fields, filters and status indicators are built once and reused, which is what keeps a platform visually consistent as screens are added.

Density was handled deliberately — clear hierarchy, predictable placement of actions, and responsive layouts so the platform remains usable on smaller screens rather than breaking on them.

Empty, loading and error states were designed alongside the main screens, because in a platform they are part of the everyday experience rather than edge cases.

The front end is built with Next.js and React against the shared component set, so design and implementation stay aligned screen by screen.

The back end runs on Node.js with a PostgreSQL database. Data models, API endpoints and validation were designed together, which keeps records consistent and makes new features cheaper to add.

Authentication and role-based permissions were built into the foundation, so access control is a property of the platform rather than something bolted on per screen.

• Role-based user accounts and permissions
• Structured data models with validated input
• Core record create, read, update and delete workflows
• List and detail screens with search and filtering
• Summary panels and operational views
• Administration area for managing users and content
• Responsive interface across desktop and mobile
• Consistent design system shared by every screen

The platform is deployed to production on cloud hosting with automated builds, and staging is kept separate so changes can be reviewed before release.

The domain runs over HTTPS, the database is managed and backed up, and environment configuration is documented alongside the code.

Handover included the repository, setup documentation and an overview of the architecture so the client team can operate and extend it independently.

NAC was delivered as a designed and developed platform: a defined architecture, a consistent interface built on a shared component set, and a working back end with accounts, permissions and structured data.

The engagement covered both halves of the work the project needed — design and development — and was handed over with its repository and documentation so it can be maintained and extended without us.

No public performance figures are claimed here: what is stated is the work that was completed.

Front-loading structure paid for itself. Spending time on data models and screen relationships before designing made the later stages far quieter.

A component set is what makes a platform feel like one product. Screens built from shared parts stay consistent as the system grows.

Designing empty, loading and error states early prevented the usual late scramble once real data arrived.

Candidate improvements for future phases include expanded reporting views and further workflow automation — listed as directions, not as shipped features.