Case studies
How we improve Finance workflows with AI.
Four case studies in reporting, cash and forecasting, with their starting point, approach and results.
SaaS / Investor reporting
How DemoUp Cliplister automated its investor reporting and reduced controlling workload by more than 90%.
>90 % less controlling workload
DemoUp Cliplister brings accounting, sales and payroll data together in an automated financial reporting system. Standardized data pipelines replace manual consolidation and deliver management and investor reports on demand.
B2B services / Working capital
How a DACH services group built an independent weekly cash-in forecast.
Full transparency across working capital development.
A working-capital engine connects unbilled work, invoices and open receivables at item level. Group Finance gains its own data-backed 12-week forecast across eight regions.
B2B services / Revenue forecasting
How a key-account pipeline was converted into a defensible revenue forecast.
Data-driven revenue forecasting for maximum accuracy
For one multinational key account, a vintage model replaces the previous correlation logic. Run-off curves translate orders, call-offs and backlog into a monthly revenue forecast from n+1 to n+6.
SaaS / Reporting
How Honeysales processes more than 827,000 data points at the push of a button and automated its reporting.
>827k data points processed at the push of a button
Finton connects DATEV raw data, budget, bank transactions and invoice data in an automated reporting system. Monthly reporting and liquidity tracking run in Google Sheets with drill-down to posting level.