A staff console holding a chat with an agent, which answers with a deployment whose steps are all complete.AI-generated

AI

AI agents a non-developer can deploy, on European infrastructure

CTO and lead developer at a Belgian company implementing AI and Odoo: providers that keep client data in Europe, and agents a non-developer can deploy.

Client
Pulsia, Belgium
Role
CTO and lead developer, on the board
When
July 2026 onwards

The situation#

Pulsia implements AI and Odoo for other businesses. Its board has three members, and I am one of them, as the CTO and as the company's one developer. The decisions a larger company splits between a CTO and a development team land on one desk.

What I do#

As CTO, I decide what runs where, what client data may touch, and which of two credible options the team should not spend three months discovering for itself. As its developer, I build what those decisions choose, so no decision is taken without knowing what it will cost to carry out.

The decision everything else rests on was the choice of hosting and model providers. Both are in Europe, under data rules strict enough that client material stays inside them. It is the first question a buyer who is nervous about AI asks, and Pulsia answers it with a provider's name rather than a reassurance.

On that footing sits a platform of specialised agents that run in the cloud, and that people with no technical background deploy on demand.

What this note does not claim#

The engagement began in July 2026, so this is a case note rather than a full study, and it carries no figures. The ones that will count are how many agents run, how many deployments the non-technical path has carried, and how long one takes against going through a developer. Each will be dated when it is taken, like every figure on this site.

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Tell me about your project, or the problem you want solved.

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