Controlling: Faster Month-End Close with Automated Commentary

A mid-sized corporate group with 8 entities and 450 employees closes its books every month. Previously, this took 8 working days: reconciling entries, consolidating, analysing variances, writing the management commentary, preparing the presentation. The same process, every month.

The controlling team of 6 spent 60% of that time on manual reconciliation and data aggregation — instead of the actual analysis that delivers real value to management.

The Risk of External AI Services for Financial Data

The group’s financial reports contain competitively sensitive data: margins by product and region, client revenues, investment plans. The CFO had nothing against AI — but he was not willing to send the numbers off-premises. The solution had to stay entirely within the group’s own infrastructure.

Automated Month-End Close with SoverIQ

SoverIQ Stack was connected to the group’s ERP system and accounting interface — fully on-premises. Every month, the system handles:

• Account reconciliation: automatically match payments, invoices, and bank data; prioritise open items
• Variance analysis: plan-vs-actual comparison at entity and account level; generate root-cause hypotheses from historical patterns
• Narrative reporting: automatically generate management commentary from the numbers — per entity and consolidated
• Anomaly detection: flag unusual entries and outliers before they surface in the presentation

The controlling team validates and adjusts — instead of building everything from scratch.

Results

Close duration fell from 8 to 4.5 working days. The controlling team now spends 70% of its time on analysis rather than data preparation. The quality of management reporting improved measurably — because more time is available for strategic interpretation.