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Aico Journals

Aico Group Oy

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Harmonise and automate manual journal entry process across multiple ERP systems

Create, validate, and automate accounting journal entries

The Aico solution for Journal Entries has been purpose built for finance and accounting. It improves every step of manual journal entry management, replacing slow, arduous and complex work with fast and efficient processes. Aico saves you time, delivers better control, quality and integrity as well as giving you visibility into your journal entry process.

Aico Journal Entries software integrates with one or more leading ERP systems in real-time . This means we are able to connect to all of your data at the same time and give you a complete view of your finances, as a service, from Azure.

Key benefits of Aico Journal Entries solution:


Aico speeds up the process by enabling accountants to:

  • create new journals from configurable templates and validate all data fields in real-time against ERP 
  • creating new journals as copies from previous journal entries
  • set up recurring journal automations

  • Visibility

    Aico helps teams and individuals to keep track of journal process at any given time by:

  • Customisable real-time report dashboard
  • Defining roles and responsibilities within the team

    Streamlined workflows

    Aico improves workflows and eliminates journal approval bottleneck by:

  • Displaying tasks and responsibilities in real-time
  • Customising amount of required approvals and approvers for various journals
  • Distributing workload and responsibilities within the team

    Automation means less manual work

    Aico reduces error prone manual work with:

  • Recurring journal automation
  • Journal reversal date automation
  • Journal approval automation
  • Connect to and pull data directly in real time from the underlying ERP system or systems without any need for exporting files.


    Aico offers easy access to audit trail by:

  • All journals, files and attachments are stored digitally
  • Automatic archiving of document data and supporting evidence