Make your company AI-native.
Ortelian is a platform plus a forward deployed team. 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 problem
Why AI hasn’t changed how the work runs.
Most companies now use AI, but the work still runs the way it did before. The tools help one person with one task. The process around them stays the same, and the work still waits on people to pass it along.
| AI has improved their productivity | 80% |
|---|---|
| AI has had any impact on earnings (EBIT) | 37% |
Source: McKinsey, The state of AI in 2026 (1,719 participants). Productivity was asked of respondents who use AI in their roles.
Ortelian changes the work itself: a team that redesigns how it runs, and a platform that gives agents the context to do it.
Use cases
Agents take on the work between your teams.
Each of these jobs crosses several teams and systems, and most of its time is lost in the handoffs. Agents do that work. Some jobs run end to end; in the rest, a person keeps the decisions.
01Supplier delays
From four people chasing one late part to one decision.
- Trace the late part to every affected order
- Find the customers and propose a new plan
- Draft an update for each customer
The planner approves the plan. Sales sends the updates.
02Invoice exceptions
From emailing buyers and the warehouse to approving a prepared case.
- Match each invoice to its order and receipt
- Gather the evidence for every mismatch
- Propose the fix
Accounts payable approves each exception.
03Regulation reviews
From searching contracts one by one to a full list, with sources.
- Find the affected clauses and contracts
- Link them to customers and open deals
- Open a review for each, with sources
No sign-off needed. Every affected contract lands with Legal as a review, with sources.
04Non-standard quotes
From quotes waiting days for checks to quotes ready to approve.
- Pull similar deals, stock and supplier lead times
- Apply your margin rules
- Flag anything that breaks them
A manager approves discounts beyond the rules.
05Month-end close
From weeks of matching in spreadsheets to a close that starts with the exceptions.
- Reconcile accounts as transactions arrive
- Prepare the case for every item that doesn’t match
- Keep the close checklist current
The controller reviews the exceptions and signs off.
06Account lists for SDRs
From a spreadsheet of thousands to a ranked list in Slack every morning.
- Join the territory from public registries to the CRM
- Rank every account against your ideal customer
- Post 50 net-new accounts with contacts at 7am
No sign-off needed. Reps work the list each morning and choose who to call.
07New customer setup
From a chain of emails to an account set up in every system.
- Gather the company’s details
- Run the credit check and prepare the terms
- Create the records in the ERP and the CRM
Finance approves the credit limit. Legal signs off non-standard terms.
Which job is held up in your company?Talk to us
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 our forward deployed team works on site with the people who do it, not because our product needs it, but because your company does.
| AI high performers | Nearly 3 in 4 |
|---|---|
| All other respondents | 1 in 4 |
Source: McKinsey, The state of AI in 2026 (1,719 participants). High performers are the 6% who attribute at least 5% of EBIT to AI and call its impact significant.
- 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: 14 steps, 10 done by people, with 4 waits in between.
- Buyer: Reads the delay email
- Buyer: Finds the PO in SAP
- Buyer: Chases a new date
- Waiting: On the supplier’s reply
- Buyer: Logs it in the delay sheet
- Planner: Checks stock and orders
- Waiting: On the buyer to confirm
- Planner: Re-plans, updates SAP
- Customer service: Finds affected customers
- Waiting: On the planner
- Customer service: Drafts the update
- Waiting: On a wording check
- Account manager: Approves credit
- Customer service: Sends it, logs it
After the redesign: 8 steps. Agents do 5, people make 3 decisions. No waits.
- Agent: Matches the notice to the PO
- Agent: Gets a firm date from the supplier
- Agent: Proposes a re-plan
- Planner: Approves the re-plan
- Agent: Drafts each customer update
- Customer service: Sends the updates
- Account manager: Approves credit
- Agent: Updates both systems
One supplier delay, before and after the redesign. An illustrative example.
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.
Seven connected sources, each with its own pipeline, feed one world model: Salesforce (Accounts · Deals · Contacts), SAP (Orders · Products), Xero (Invoices · Payments), Slack (Threads · Mentions), Google Drive (Contracts · Notes), Intercom (Tickets · Conversations), Atlas (Regulations · Public records). In the model, Sara Peeters works at Acme Logistics, which has the Q4 renewal, belongs to the Logistics sector and is billed for invoice INV-2291. A call on 12 September is with Sara and about the company. NIS2 applies to Logistics. What people know is pinned to the record it is about: on Sara Peeters, “Moved to Ops in August.”; on Q4 renewal, “Waits on a security audit.”. Ortelian’s agents and your AI tools read and write only through access and approvals: Scoped per agent; Actions that leave the company wait for a person; Every action recorded.
Illustrative records. Your systems remain the source of truth.
Security and control
Each agent only reaches
what its job needs.
You decide what it can read, what it can change and what it never sees. Anything that leaves the company waits for a person.
- Hosted in the EUThe platform runs in the EU.
- Zero data retentionAgents use models with zero data retention only.
- YoursYou own your data and world model, and can export both.
The alternatives
Tools and consultancies each solve half.
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).
- Fixed feesThe 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-inA monthly platform fee with no annual commitment. You own your data and can export it.
- Agreed limitsAgents 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.
