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Public Sector Projects: Multisite Systems for Government and NGOs

Date:

May 30, 2028

Time:

from 10:00 am to 4:30 pm

Format:

In-person

Level:

experienced

Government bodies and NGOs face unique challenges—tight budgets, multilingual content, strict accessibility requirements, and diverse editorial teams. This session is designed to equip you with the knowledge and structure to build multisite systems that meet these needs and scale sustainably.

We’ll dive into how WordPress multisite, when paired with Greyd.Suite, can serve as a central, secure, and flexible platform for complex public sector needs. From regional departments to international NGOs, this setup supports local autonomy while maintaining brand and content consistency.

This training is for developers, project managers, and digital leads working in or with public institutions or nonprofit networks.

What we’ll cover:

  • Planning and launching multisite environments with accessibility at the core

  • Setting up multilingual structures using taxonomy- or site-based strategies

  • Enabling decentralized content management without compromising control

  • Standardizing layouts and communication templates across dozens of sites

  • Managing permissions and roles across a wide range of users

  • Ensuring long-term security and update workflows in regulated environments

Use cases we’ll explore:

  • Local government networks with individual municipal subsites

  • NGO platforms with country-specific pages and shared resources

  • Public sector campaigns that require rapid deployment and consistent branding

  • Hybrid communication platforms for staff, volunteers, and the public

You’ll leave this session with a concrete implementation plan, a library of reusable design templates, and a clear understanding of how to meet accessibility and governance requirements, without sacrificing usability or performance.

Location*

Fee

€ 895

* about this content

Heads up: this is demo content. The training itself could absolutely be real with Greyd.Suite, but the event, trainer, and location are all made up. Any similarity to real people or places is just coincidence. The images were created with the help of AI.