Prepare an order
Information from an incoming order is prepared for checking and processing in the ERP, the system that manages areas such as orders and stock.
From an incoming document to the next process step.
Lleverage connects AI-assisted document processing to your business workflows. Think of orders, invoices and purchasing information that need to be prepared, checked and passed to a system.
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An employee reads a document, looks up related information and prepares it for entry into a system. Lleverage can connect these steps. This is an example of Intelligent Automation: combining AI with process steps and checks.
Three working situations where this solution could play a part.
Information from an incoming order is prepared for checking and processing in the ERP, the system that manages areas such as orders and stock.
Invoice information is compared with purchasing data. A discrepancy can be sent to an assigned employee before the workflow continues.
A workflow can pause and ask an assigned user for a decision. The relevant step continues after that decision.
Connect information preparation with the next process step rather than repeatedly reading, copying and entering it separately.
Build in decision points where an employee needs to assess the work. Assignment and exception handling are configured explicitly.
Project roles and permissions for individual resources help define what users may see or change. Connected systems also need their own permission configuration.
Lleverage focuses in part on businesses that make, trade or move physical products. Manufacturing, wholesale and goods flows are therefore familiar starting points, for example where order and purchasing documents recur.
The amount of repeated work, input quality and variation between documents determine whether this approach is useful. Company size alone says little about that.
There need to be usable systems for subsequent steps and people who can assess decisions and exceptions.
Start with representative documents and the requirements for the output. Establish which information may be read or changed and when an employee needs to review it.
AI outputs need to be assessed against your process requirements. Human decision points and exception paths are configured deliberately; setting a deadline does not itself create an escalation.
We review the desired integrations, data region and usage together. Where usage-based billing is enabled, Lleverage describes controls for agent usage and seats. An agent limit does not stop all background workflows.
Lleverage provides ways to define access and data processing boundaries. The selected features, subscription and processing agreement determine how these work in your process.
For paid subscriptions, Lleverage describes EU-only processing on written request. This can limit integrations. We assess the desired processors and features together.
Project roles and permissions for individual resources limit what users can do. The permissions used by integrations in other systems also need to be configured appropriately.
For paid subscriptions, Lleverage describes zero retention: AI model providers do not retain submitted data. This does not cover all platform data; test environments are covered on a best-effort basis only.
Enterprise SSO lets users sign in through their own identity provider. The supplier needs to activate the connection. Subscription requirements, domain scope and permissions are assessed before setup.
Lleverage lists ISO/IEC 27001 and SOC 2 Type II. These concern information security management and assessed controls. We check which services and time period the documents cover during selection.
I am Joshua Boermans, an Automation Consultant at Korper. I assess what could be automated and where it would add value. I then work with technical colleagues to shape a suitable approach. Korper is a partner of the supplier described here.

We discuss the current steps, manual work and exceptions. You do not need to choose a tool beforehand.
We consider the expected value, existing systems and the ongoing management required.
If automation is a good fit, we identify the technical work needed. We coordinate implementation with the technical team at Korper.
You decide which steps run automatically and where an employee makes a decision. Document quality, exceptions and changes remain part of managing the process.
We start with representative documents and clear requirements. Exceptions and checks form part of that assessment before a workflow goes into use.
Choose a recurring document flow, such as orders or invoices. Examples, current steps and the systems involved help us discuss the possibilities.
According to the data processing agreement, special-category and criminal-offence personal data require an explicit written agreement. We assess this beforehand.
Tell me where the work gets held up. We can explore whether this solution fits and what a useful next step would be.
Free of charge and without obligation. Around 30 minutes, through Microsoft Bookings. Privacy information.