Assisting an employee
Extract the amount and payment details from an invoice and prepare the information for review.
Replace your team’s manual work with AI automation
using ready-made Glages business process models
Documents and data
Glages model
Data
Conditions
Operations
Outcomes
Process execution
Checks and actions in your application
02How it works
Let AI carry out tasks, not just help your team
Reconciling documents, checking payment conditions, processing an order change—employees often still do this work manually, even when AI already helps them find information and prepare responses.
Glages models define process logic: what information must be checked, when an operation is allowed, and what outcome must be recorded. Your team uses that foundation to automate checks and actions.
Example: processing a supplier invoice
Executing the process
Match the invoice to the order and receipt confirmation, verify approval, and submit it for payment if all required conditions are met.
Go beyond helping someone work faster—remove the need to do the work manually
03Reliable automation
Check AI actions before they happen, not after an error
Moving money, changing an order, granting access—these decisions cannot rely on guesswork.
The application checks actions against the Glages model before execution. Rule violations are blocked. AI assumptions cannot stand in for missing information.
Routine checks belong in software. Required approvals stay with people.
AI proposes an action
The application checks it against the Glages model and current data
Allowed
The required conditions are met—the operation may proceed.
Blocked
The action violates the rules—the operation is blocked.
Needs information or approval
Execution waits for the required information or a decision from an authorized person.
Example: two requests do not mean two refunds
The first refund request has already been submitted, but the payment service has not confirmed the result. The customer contacts you again through another channel.
Before allowing another refund, the application must establish the outcome of the original operation. No response does not mean that no money was sent.
How control is enforced
Developers integrate the check into the application. Every operation subject to control must pass through it. Simply sending the model to an agent in a message is not enough.
Control covers the rules and operations included in the model and supported by the implementation. Technical failures and data errors require separate handling.
04Implementation
Save time and money on implementation
Do not start by rebuilding all the business logic of a process. Use a Glages model that defines the required data, conditions, allowed operations, and outcomes.
Your team or contractor can focus on connecting your systems and launching the solution instead of recreating that logic.
Less to build from scratch
Process rules and supported scenarios are already defined in the model.
Less repeated work
Requirements, checks, and automation all use the same logic.
License the process model. Implement it with your team or contractor.
05Scaling
One model, multiple implementations
Reuse a Glages model across other departments or client projects without rebuilding all the logic of a compatible process.
Glages model
Implementation 01
Implementation 02
Implementation 03
Across your company
Apply a shared model in departments and branches with compatible processes.
Across integration projects
Use the model in solutions for multiple clients under the terms of the license.
Data and integrations are configured for each implementation. The shared process logic does not have to be built again.
06Use cases
Which tasks are ready to leave manual processing behind?
Documents, payments, orders, bookings, and service requests. Explore examples of work you can discuss automating with Glages models.
01 / 12
Example task01
Document checks
Check that information is complete, current, and consistent
What to check
Whether all required documents apply to the case and are valid on the relevant date
Example task02
Request approval
Check conditions and route a request to an authorized employee
What to check
Which version of the request the approval covers and whether its conditions have been met
Example task03
Payment confirmation
Match an order, amount, and confirmed payment result
What to check
Whether confirmation comes from the required source, rather than just a message claiming payment
Example task04
Refunds
Check eligibility, the allowed amount, and refund history
What to check
Whether a refund has already been issued and whether the outcome of the previous attempt is known
Example task05
Order changes
Process changes to order items, delivery addresses, or terms
What to check
Which changes are allowed at the current stage of fulfillment
Example task06
Delivery claims
Link the claim, delivery information, and compensation conditions
What to check
What decision has already been made and whether a new action would lead to duplicate compensation
Example task07
Resource booking
Check availability of a space, equipment, or time slot
What to check
Whether the resource is occupied and whether the current reservation is still valid
Example task08
Check-in and access
Link the booking, payment, and access conditions
What to check
Whether the required information is confirmed and the resource is ready for use
Example task09
Repair approval
Link diagnostics, the estimate, and authorization to proceed
What to check
Whether the current scope of work has been approved, including subsequent changes
Example task10
Work acceptance
Match a completed stage with supporting evidence and acceptance criteria
What to check
Whether there is enough evidence to accept the completed stage
Example task11
Invoicing
Check the basis, amount, and obligation associated with an invoice
What to check
Whether the invoice matches the confirmed scope and has not already been issued
Example task12
Changes to obligations
Account for agreed changes to deadlines, amounts, and terms
What to check
Which new terms apply and which previous terms they replace
These are examples, not a complete list of tasks. Tell us about your process—we can discuss a suitable model, the scenarios it needs to cover, and its availability.
Find a model07Cost savings
Evaluate the savings before scaling up
Start with one process. Compare the time employees spend on it today with what changes after automation.
Decide in advance what would justify implementation: less manual processing, more completed tasks, or a lower cost per case.
Employee time
How many manual actions and employee hours it takes to process one case.
Autonomous completion
What share of tasks finish correctly without employee intervention.
Total cost
The cost of a completed process, including the license, implementation, operation, and remaining manual work.
Prove the value on one task first. Then implement where it pays off.
Discuss your first process08Let’s discuss your task
What work would you like to stop doing manually?
Tell us what employees do today, which systems they use, and what outcome you want to achieve.
We can discuss a suitable Glages model, its availability, and the possibility of a first implementation.
License the model. Implement it with your team or contractor.
Let’s discuss your workflow
A brief description is enough for an initial inquiry. Please do not send confidential documents or your customers’ personal data.
Before you implement
Do we need to replace our existing systems?
The model provides the foundation for a solution connected to your data and systems. The changes required are assessed for each implementation.
Who handles implementation?
Your internal team or chosen contractor. Glages licenses the model; application development, integrations, and operations are agreed as part of the implementation project.
Can any task be automated?
First, you need to establish what the model covers, what data is available, and where human involvement is required. When a situation falls outside the model’s scope, AI must not invent missing rules at runtime.
Does the model guarantee that there will be no errors?
No. Control covers the rules and operations included in the model and supported by the implementation. Errors in data, integrations, and external services require separate handling.
What is available now?
Glages is in development. You can discuss a task and a potential pilot now; the availability and timing of a specific model are determined separately.