How Nexio Projects brought AI into daily work

By Vladimir de Ziegler · Updated

Shared building practices and support helped a 45-person team move from individual experiments to a managed library of agents.

Reported daily AI usage
88%
Rollout period
4 months
Published agents
100+
Illustrative workflow with human review and explicit ownership.
Elements illustration of the workflow pattern. This is not a customer screenshot or a measurement of the project.

The problem

As more people built agents, the team needed a common way to choose workflows, find existing agents, and manage quality.

How Nexio organised the rollout

Nexio formed a cross-functional task force, introduced an ethical-use policy, and ranked workflows by value and feasibility. An agent register, office hours, and human review supported the growing library.

Where Elements contributed

Elements supported workflow demonstrations, troubleshooting, workspace diagnostics, and a governance playbook. Nexio’s team led its internal rollout. Elements also wrote the customer story published by Dust, where it is identified as a partner.

What to take from the project

Give each workflow an owner. Make existing agents easy to find. Decide who reviews outputs and who maintains an agent once people rely on it.

The outcome

Nexio reported 88% daily AI usage across 45 people after four months, with more than 100 published agents. These figures describe the rollout documented in the Dust customer story.

How to read these results: Nexio reported the usage and agent counts for its four-month rollout. These are adoption measures, not a cash-saving calculation. Elements supported the programme and wrote the story hosted by Dust, where it is identified as a partner; that publication is not independent validation.

Read the published Dust customer story

About this update: Added measurement context and a related implementation guide.