AI governance that keeps
you fully in charge

Software that acts inside your operations has to answer for what it did. Thresholds, approvals, permissions and a full audit trail are part of the platform, not a policy document about it.

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What you get

You set where the line sits

Below your confidence line a person decides, above it the work goes through. You move the line when you are ready.

Every action is accounted for

What it read, what it decided and why, timestamped against the record it touched.

It reaches only what you allow

Roles and scopes per connection, EU hosted by default, on-prem where you need it.

You set the line, and you move it

Every process runs at a confidence line you chose. Where the agent is less sure than that, a person decides. Above it, the work goes through on its own, and the setting is yours in both directions.

A confidence line per processBelow it a person decides, above it the work goes through.
It only moves when you move itNo silent promotion because the model grew more confident on its own.
And it moves backOne setting returns a process to full supervision, with nothing to rebuild.
Autonomy · you set the lineSet by Marloes de Vries
A person looksPosts itself
Order entry 0.96
Invoice matching 0.98
Debtor reminders 0.90
Master data changes Always a person
Purchase orders Always a buyer
MovedOrder entry 0.94 → 0.9612 May, after a month of clean runs. One click back to full supervision.

Approvals arrive where the work already is

Nobody logs into a second system to sign something off. The request lands in the channel that person already has open, with everything it needs attached.

In Teams, Slack or the inboxWith the document, the record and the reason attached to the request.
Routed by your own rulesValue, category and delegation, including who covers a holiday.
Nothing waits silentlyEvery request shows its owner and its deadline in the inbox.
A purchase order above the approval limit is routed to Ilse in Teams, Outlook or Slack, with its context attached. APPROVAL · PO-8814 EUR 4,180 needs your sign-off Above the EUR 2,500 desk limit. Assigned to Ilse Bergman Purchase order and budget attached Teams Ready for review Outlook Ready for review Slack Ready for review

It can only reach what you connected

An agent has no standing access to anything. Every system it touches is a connection you made, scoped to the objects and the fields you named.

Read and write, separatelyReading an order and posting one are different permissions.
Scoped per systemPer connection, per object, per field. Not one key to everything.
EU hosted, on-prem where neededGDPR compliant, residency you choose, your data staying yours.
Connected systemsReadWrite
Business CentralSales orders and customers. Not the ledger.
Exact OnlinePurchase invoices, only when matched.
SalesforceAccounts and contacts. Never writes.
OutlookOne shared mailbox.

Our engineers set it up with you.

Forward deployed engineers work alongside your team, so work comes off the desk in the first weeks rather than at the end of a project.

A busy operations office with people working at their desks
The FDE model Forward deployed engineers, with you for the first queue and for every one after.

They work inside your operation. They build the first queue with your team, set the confidence line together, and stay on as your business changes and the next queues come. Not a licence and a manual. A team that knows your floor.

If you preferSame platform Self-served Your own team builds on the same platform.

Triggers, checks and the log are yours to configure. Our documentation and support sit behind your team, and an engineer is a call away whenever you want one.

Talk to us about either ↗

Questions about AI governance.

How do approvals work?

An approval arrives where the approver already works, in Teams, Slack or the inbox, with the document, the record and the reason attached. It is routed to the person you choose, and it shows its deadline in the inbox.

What is the autonomy threshold?

Every process runs at a confidence threshold you choose. The agent scores how sure it is of each piece of work: below the threshold a person decides, above it the work goes through on its own. It only moves when you move it, never because the model grew more confident by itself, and one setting returns a process to full supervision with nothing to rebuild.

What can an agent access?

Only what you connected. An agent has no standing access to anything: every system it touches is a connection you made, scoped per object and per field, with reading and writing as separate permissions. It can work with sales orders and customers in Business Central, for example, without ever touching the ledger.

Where is our data hosted?

Lleverage is EU hosted by default and GDPR compliant, with on-prem where you need it. Your data stays yours: what the agents learn is held on your side, exportable in full, and never used to train anyone else's model.

Is every action logged?

Yes. Every action carries what the agent read, what it decided and why, timestamped against the record it touched. Threshold changes are recorded with who made them and when, so any change in your ERP can be traced back to the document that came in and the decision behind it.

Give your back office an AI workforce.