Everyone can create their own account, join an existing organisation or create a new one and choose their own license according to their needs. 

Users can signup and choose their own plan

In moving to a more user-based subscription model, we would like to offer an overview page where our customers can manage their billing information. This page will contain information like:

Also, our customers should be ablte to interact with the page to up or downgrade plans, have insight to support and services, some FAQ etc. 

Being able to manage billing details and history

When an interface is created (or edited), there is a step where either the customer, the consultant or both, can write down the test scenario's the interface should cover. 

This will be a table-like overview, where the following information can be registered:

At the moment, we offer the opportunity to add attachments to the interface. This is a step forward. 

Testscenarios and field mapping can be reported within the platform

Our users who have edit rights on the interface page, can now assign a responsible users (or users) in the more information sidebar of the interface, under the details tab. With this, you can make it visible who the contact person of a specific interface is within your organization. 

5.3 - Have the option to assign a responsible user to an interface in BrynQ

With this, you can now create and transform a dataset from AFAS, and have it uploaded to a FTPS server, using the AI chatbot. 

This can be useful for for example a payroll interface, where you have to get data from AFAS, change the data by adding columns, calculate information or other operations, and uplaod it to a FTPS server of your own company, or a server of a third party. 

Build an interface between AFAS and FTPS

In order to guide our customers through our AI chat, we would like to add userguiding to the main bottlenecks. 

Userguiding for BrynQ AI

Our AI automatically detects changes within your data. Now you can only process your full dataset but with this feature, it's possible that your interface only processes changes in the data.

Detect changes in data automatically to only process changes

With this, you can now create and transform a dataset from AFAS, and have it uploaded to Sharepoint, using the AI chatbot. 

This can be useful for for example a payroll interface, where you have to get data from AFAS, change the data by adding columns, calculate information or other operations, and uplaod it to Sharepoint where you can give other parties or countries access to this data. 

Build an AI chat interface from AFAS to Sharepoint

With this, you can make the choice whether you want to have more focus on your data tabel, or on your transformations summary within the AI chat.

5.3 - Have the option to resize your screen between the tabel and the transformation summary

You can now visually see which transformations have been done to your data in the AI chat, by being presented a step-by-step descriptive summary of your actions. 

5.3 - Have an overview of used transformations in the AI chat

For a cleaner look, the running button of the interface cards is now interactive. Via the button, you can start or stop the interface. The button will change status based on the running status of the interface. 

Running label becomes an interactive run button

Most often you will face issues when working in BrynQ. with this feature, you can report issues or wishes from everywhere within the platform without the need to login to the helpdeskportal. 

Send your helprequest directly from BrynQ

For admins, it is possible to export all or a selection of visualisations from the dashboard they are working in. With this feature, this is also possible for users without admin or edit rights. Note that you can only export the data you can see in your dashboards according to your roles or userrights. 

5.3 - Export visualisations without having admin / edit rights to the dashboards

With this feature, you can not authorize specific interfaces. This can be done by giving access through the user, or through a role. 

Users: Settings > Authorization > Users → Go to interfaces tab

Roles: Settings > Authorization > Roles → Go to interfaces tab

There will be multiple levels of authorization:

Current authorizations will remain as they are, admins are now able to take away any rights or assign new or specific rights for new interfaces.

Authorize your interfaces on user and role level

Your data can be processed to PowerBi input format so it can easily be used in your own dashboard tool. 

Send your data from AFAS to PowerBi input format

With this, you can open the data in your AI interface chat fully, and filter within the data tabel. This provides more interaction with and insights into your data.

Have the option to filter in your AI chatbot data tabel

If you have a live interface and you change it, you can go back to a certain version if anything goes wrong or you just want to revert your changes.

Have to possibilty to have multiple versions of your interface

With this, you will have the option to export the more detailed logs of your interfaces to excel, in order to be able to work on or forward your data internally. 

5.2 - Export your interface logs

You can assign a phase to an interface so it's clear for everybody that the interface is not yet in production but only in test or development modus. 

Have to possiblity to differentiate between test and production interfaces

Export button to export your data from your AI chat table view to an xlsx file.

5.2 - Export your transformed data from the table in the chat

To offer more safety, taking into account our ISO27001 certification, it is now possible to end all sessions of a user with the click of one button, located at the settings of a user. This minimizes the risk of unathourized access to accounts. 

5.0 - End all user sessions via usermanagement

With this, you can test per row, and not only all rows of data at once.

Being able to only test specific rows of data

An UpdateConnector in AFAS Profit is a predefined method to upload data into AFAS Profit. This requires a high level of knowledge of AFAS Profit so when this feature is released, our AI genius will take this work from you and automatically select the correct updateConnectors. 

AI picks relevant Updateconnector from Chat

At the moment, the starting steps are technical. We would like to improve these steps with a screen for every step, guiding you through the thought-proces. 

5.2 - AI chat starts with step-by-step guide and introduction

The login of an user is shared between BrynQ and other platforms so an user only need to login once for several apps like the helpdesk, knowledge base, Azure, etc. 

5.2 - Users can use BrynQ login to login to other applications

Send your data from AFAS to your email

With this, you can put your interface live on production data.

Have the ability to transfer your test interface to AFAS production

For data that does not result from a changes detect, there should be a possibility to denote whether you want to update new lines in AFAS or delete them from AFAS

Being able to edit and delete data from AFAS when no changes have been detected

You can use and reuse template interfaces. In this library, we have a set of predefined interfaces and use cases that are often wanten or requested by our customers. 

Choosing predefined interfaces from a library is possible

You are able to add 1 file to your interface to use as a source system

Build your interface based on a file source

As we forge ahead, we’re committed to ensuring that you’re by our side at every milestone. Explore the initiatives, features, and improvements we’re working on to enhance your engagement with our platform.