PSINOVA AI Accounting Intelligence
Smart account allocation directly in SAP – less effort, greater accuracy
How much time do your accounting clerks spend each day searching through historical documents for the correct account assignment? With PSINOVA Accounting Intelligence, that effort becomes a thing of the past.
The solution analyses your existing historical SAP posting data, identifies established patterns, and delivers the right account assignment suggestion to your staff instantly – directly within their familiar SAP environment, with no media breaks and no additional applications required.
How it works
When a document is opened, PSINOVA Accounting Intelligence automatically draws on your historical FI postings, master data, and transaction data. The result is a frequency-weighted list of the most probable account assignment combinations – G/L account, cost centre, order, and WBS element.
Every suggestion comes with full transparency. Each recommendation is directly traceable to the source documents behind it, so your staff understand not just what is being proposed, but why. That clarity builds trust – and turns a decision that once took minutes into one that takes seconds.
Your benefits at a glance
Automatic parameter filling
When a document is opened, the system automatically retrieves all relevant header and line item data – business partner, company code, document type, etc. – without the user having to search for it themselves.
Immediate account assignment suggestions
Instead of manually searching through historical documents, the AI directly provides the most likely account combinations along with their frequency as a percentage.
One-click transfer
The assigned account is transferred to the document with a single click – either in full (general ledger account + all subsidiary accounts) or just the general ledger account. No manual typing, no need to look up the chart of accounts.
Fully automated processing with a high degree of confidence
If the probability of a match exceeds the configured threshold, the system posts the entry automatically – without any user intervention. Routine postings with a clear pattern are therefore processed entirely in the background.
Time saved through the learning process
The longer the system runs, the more accurate the suggestions become – because the database grows and current booking patterns are given greater weight thanks to the decay function. The time and effort required per document therefore continues to decrease over time.