Use Case · Cross-Industry
Reporting
& Management Information
Automatic generation of reports from any number of source systems. No manual exports, no copy-paste, no stale figures. Reports that write themselves.
Why Reporting Is a Lever
200-500 hours per month on copy-paste
Every month the same ritual: month-end close. Quarterly report. Board pack. Compliance report. Every report starts the same way, and is equally frustrating. Export data from 4-8 systems. Consolidate in a spreadsheet. Transfer into PowerPoint. Review round. “The figures don’t add up.” Back to the beginning.
A mid-market organisation spends 200-500 hours per month on reporting. That is 2-4 full-time roles doing nothing but transferring data from one system to another. The error rate in manual consolidation runs at 5-8%. And the reports are already out of date by the time they are finished, because the data is 2-3 weeks old.
The real problem: nobody has time for the analysis. The question “What do these figures mean?” goes unanswered, because everyone is occupied with “How do I get hold of these figures?”
How the Process Changes
Before / After
pro monatlichem Board-Report
The Solution in Detail
How We Automate Reporting
01
Data Connection & Automatic Export
The AI agent connects to all relevant source systems and pulls the required data automatically, at a configured time or on demand. No manual CSV exports, no copy-paste, no forgotten systems.
RPA bots and API connectors for SAP, Dynamics 365, Salesforce, DATEV, HR systems, production systems. Configurable data fields per report type. Incremental data retrieval.
02
Consolidation & Harmonisation
Data from different systems is automatically harmonised: periods synchronised, formats aligned, currencies converted, duplicates removed, missing data points identified.
Rule-based transformation and mapping. Automatic detection of format inconsistencies. Historical comparison. Full audit log for traceability.
03
Report Generation & Formatting
From the consolidated data, the AI agent produces the finished report as PowerPoint, PDF, Excel or web dashboard. Including tables, charts and commentary on variances.
04
Anomaly Detection & Analysis Support
The AI agent automatically detects deviations from expected values, trends and prior periods. It flags anomalies with context, so management and controllers can focus on analysis rather than searching.
Statistical variance analysis against historical data. Trend detection. Automatic commentary generation for material changes.
Results
What Reporting Automation Typically Delivers
80%
Less effort
per report
100%
Consistent
data foundation
Echtzeit
Instead of 2-3 week
old data
<4 Mo.
ROI at high
reporting frequency
The greatest lever is not the time saved, but the quality of decisions. Reports built on current, error-free figures lead to better decisions than manually consolidated data that is 3 weeks old.
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Ready?
How many hours does your team spend per month on reporting?
Let us calculate in 30 minutes what reporting automation would deliver for your organisation, in time saved, in data quality and in better decisions.
No sales pitch. Just an honest assessment.
120+ Clients. 100% Satisfaction. 7 months to Profitability.
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Based on your industry and process landscape
Calculate concrete ROI
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Show examples from your industry
Real results of comparable companies
Define timeline and next steps
Concrete roadmap, no vague promises