Make your company AI-native.

Your teams already use AI. In an AI-native company, agents carry whole jobs across your systems, and your people make the decisions. We take you there.

Talk to us See the four stages
One company, drawn as an atlas. Each mark is a record; each line is an agent working through a job.

The four stages

Companies are at one of four stages with AI. 88% are still at stage one or two.

57%Stage 1 · AI helps one person
31%Stage 2 · AI reads your systems
10%Stage 3 · Agents carry jobs
2%Stage 4 · AI-native

Where 6,118 people in 10 markets say their organisation is. Source: Notion, The Great Renovation (2026). The stage names are ours.

Below is one company at each stage, drawn as the same atlas.

1

AI helps one person.

People use a chat tool to write, to sum up and to think. AI sees only what each person shows it.

57% of companies

YOU ARE HERE IF: people say they are faster, and the company's numbers do not move.

Grey marks: the company's records. Blue marks: what AI can see.

2

AI reads your systems.

Your AI tools are connected to your data. Tasks go faster, but a person still carries every job. Each tool reads the company in its own way.

31% of companies

YOU ARE HERE IF: two AI tools give two answers to one question.

Three AI tools, each with its own connection. Each one finds its own version of the same customer.

The wall between stage 2 and stage 3

To reach stage 3, your AI tools need one shared picture of your company.

88% of companies have not made this step. We make it with you, on site, one job at a time.

3

Agents carry jobs.

Every record is held once, in one model. An agent takes a job from start to end, and stops where a person must decide.

10% of companies

YOU ARE HERE IF: one job runs with no person who carries it between the steps.

One quote, six steps. The blue label is the one decision a person makes.

4

AI-native.

Agents run the processes the business depends on. People set the rules and take the exceptions.

2% of companies

YOU ARE HERE IF: a new job starts from the model that the last job built.

Eight jobs at the same time. Three of them wait for a person.

The 6% of companies that make a meaningful profit from AI are up to three times as likely to redesign the work, hold the company in one model, decide where a person checks the AI and measure the result.

We do all four with you.

  • redesign the work, 3.0 times as likely: We redesign one job at a time, with the people who do it.
  • hold the company in one model, 2.5 times as likely: We build one model of your company on top of your systems. Nothing to migrate.
  • decide where a person checks the AI, 1.6 times as likely: You set what each agent can read and change, and what waits for a person.
  • measure the result, 2.2 times as likely: Each job has a standard it must pass, tested on your real examples.

Source: McKinsey, The state of AI in 2026 (1,719 participants). “Meaningful profit” is 5% or more of profit from AI. “One model” is McKinsey's “semantic layer and/or knowledge graph”.

Laurens Nys, founder of Ortelian

Who you'll work with

You work with Laurens directly.

Laurens founded Ortelian and builds the platform, so the person who maps your work builds the agents. Before this, he founded GTM Sigma, building go-to-market and knowledge systems for B2B companies.

LinkedIn About Ortelian

We take on three companies per quarter.

The goal is stage 4: an AI-native company. We start with a two-week proof of concept on one job, and we build from there.

Apply for a place Or email Laurens
Antwerp from across the Scheldt, with the Cathedral of Our Lady and the Boerentoren.