Make your company AI-native.

We work on site to redesign how the work gets done, deploy AI agents inside the systems your team already uses and own the outcome. Nothing to migrate, nothing new to learn.

Based in Belgium, on site across Europe and the US. Hosted in the EU.

The model can be rented. The world it works in cannot.

Why that decides who wins with AI

01 · What changes

The work changes. Your team’s tools don’t.

Agents keep records current, prepare what people need and take the next step, mostly in the background. Anything that leaves the company, like an email to a customer, waits for approval.

Illustration · the agent’s work arrives in Slack and HubSpot. Names are made up.

02 · Why AI stalls

AI stalls in most companies for two reasons.

Ortelian fixes both: a team that changes the work, and a platform that gives agents the context.

  1. We work on site and redesign the process with your team before we build.

  2. Our platform gives them a world model of your company and the world around it.

The work

To get value from AI, the process has to change.

Most companies add AI to the process they already have. Someone pastes a document into a chat tool, and every other step stays the same: the handoffs, the chasing, the waiting. The value comes from redesigning the process, so agents do those steps and people keep the decisions. To do that, you need to know how the process really runs, including the parts nobody wrote down. So we work on site with the people who do it.

  • We map the work

    We observe the work and talk it through with the people who do it. We also read the records in your systems and go through your written procedures.

  • We redesign it with your team

    Agents take the repetitive steps and the chasing between them. Your people keep the judgement, the relationships and the decisions.

  • We test it on real examples

    Examples of your work become evaluations. A change goes live only when it passes them.

Today

  1. BuyerReads the delay email
  2. BuyerFinds the PO in SAP
  3. BuyerChases a new date
  4. WaitingOn the supplier’s reply
  5. BuyerLogs it in the delay sheet
  6. PlannerChecks stock and orders
  7. WaitingOn the buyer to confirm
  8. PlannerRe-plans, updates SAP
  9. Customer serviceFinds affected customers
  10. WaitingOn the planner
  11. Customer serviceDrafts the update
  12. WaitingOn a wording check
  13. Account managerApproves credit
  14. Customer serviceSends it, logs it

Four people do every step, with four waits

After the redesign

  1. AgentMatches the notice to the PO
  2. AgentGets a firm date from the supplier
  3. AgentProposes a re-plan
  4. PlannerApproves the re-planApproval
  5. AgentDrafts each customer update
  6. Customer serviceSends the updatesApproval
  7. Account managerApproves creditApproval
  8. AgentUpdates both systems

People make three decisions. Agents do the rest.

Illustration · a made-up supplier delay, mapped today and after the redesign. Agents do the steps in your systems, and people keep three decisions.

The context

Agents guess when they don’t know the business.

The facts are spread across your systems, people’s heads and the world outside. Ortelian joins them in a world model for knowledge work that agents work from. Every finding links to its source, and every job adds to it. It stays yours.

Illustration · the same agent with the same job, working from its tools and from a world model. Names and numbers are made up.

The alternatives

Tools and consultancies each solve half.

OptionWhat you getWhat’s left to you
AI toolsFaster answers, in another window.Most of the work, done the way it was before.
ConsultanciesA plan for how the work should run.Building it, running it and keeping it working.
An in-house teamPeople who own it, once you have hired them.Hiring, and building a platform from scratch.
OrtelianRedesigned work, with agents doing it inside your tools.Approving what leaves the company.
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. That work is where the idea for Ortelian’s world model came from.


Start with a call.

We look at where the work in your company is held up and whether an audit is worth it. The audit takes about two weeks on site. Then we build in two‑week cycles (see how we work).

If we go further

  • Fixed fees

    The audit is a fixed fee, credited against the first build. Each build is a fixed fee agreed at the end of the audit.

  • No lock-in

    A monthly platform fee with no annual commitment. You own your data and can export it.

  • Agreed limits

    Agents only use the access you give them, on models with zero data retention.

Questions

Frequently asked questions.

What is a world model for knowledge work?

A world model for knowledge work is a map of what shapes a company’s work, inside the company and in the world around it, that agents query instead of rebuilding it from tools on every run. It has three layers: the data that keeps it current, a graph of the companies, people, places, regulations and events that matter and how they relate, and the knowledge attached to those things. Every fact keeps its source. We build and maintain one for every company we work with, and every agent works from it.

Where do you work?

We are based in Belgium and work with companies in Europe and the US. We travel to your offices and work on site with your team. The platform is hosted in the EU.

Do we need to move to a new tool?

No. Agents work inside the systems you already use: your CRM, your systems of record, Slack, Teams and email. Your data stays where it is, and your team keeps working where it works today. Ortelian’s own app is where agents, workflows and limits are set up and monitored.

Who is Ortelian a good fit for?

Companies with complexity in their team, product, service or market, where the work depends on context that no single system holds. If a process is simple, an agent doesn’t need that context and you probably don’t need us. We work best with teams that want to become AI-native and are ready to move quickly, give feedback and put improvements into practice.

What does AI-native mean?

We use four questions. Does AI own actual work, rather than only answer questions? Do agents share a current picture of the business and the world around it? Has the work been redesigned around what AI can now do? Do agents improve from feedback and evaluations? A company that can answer yes to all four is AI-native.

Why do you work on site?

To redesign a process, we need to know how it really runs, including the steps nobody wrote down: the chasing, checking and workarounds that happen in email, chat and conversation. We see those by working next to your team, and being there lets us redesign the work with the people who do it.

What do we need before starting?

An internal owner, ideally a founder or someone on the leadership team, with the authority to make decisions and drive implementation. A team willing to test, give feedback and iterate with us.

How is Ortelian priced?

You pay for implementation and ongoing platform use. The audit is a fixed fee, credited against the first build if you go ahead. Each build is a fixed fee agreed at the end of the audit. The platform is a monthly fee sized to your usage, with unlimited users and no annual commitment.

How do we know the work is good enough?

Evaluations built into Ortelian test whether agents meet agreed standards on real examples of your work. They keep running after launch and track quality, cost, completion time and human effort.

What can an agent do on its own?

We agree what agents can access and what they can do. Work inside the company, like updating records or preparing a report, usually runs on its own. Anything that leaves the company, like an email to a customer or an invoice, waits for a person’s approval by default. Those limits are part of the deployment and are reviewed as the work changes.

What happens after launch?

Your team runs the system, or we run it for you. Workshops during the build prepare your team to own it. Either way, we host the platform, review failures, update the knowledge, instructions or workflows, and the evaluations keep running to show the work stays at the standard. Over time your team takes on more of the day-to-day changes, and we spend our time finding where the work is held up next.

Antwerp from across the Scheldt, with the Cathedral of Our Lady and the Boerentoren.