Discovery & diagnosis
Map the manual process, quantify the wasted effort, and find the fastest path to measurable return.
00Useful data
Finance workflow automation for SMEs
Make operational data useful without building an IT department.
Datamelo helps finance and operations teams replace manual reporting, spreadsheet handoffs, and repetitive data checks with pragmatic automation that pays back in weeks.
10-200employee SMEs
4delivery phases
€800day-rate anchor
Built for finance, accounting, and operations teams with high-value work trapped inside manual reporting routines.
01Method
From observation to owned system
A practical path from messy workflow to repeatable operation.
Design & build
Replace brittle Excel handoffs with Python, Power Query, AI agents, and workflows your team can inspect.
Training & handover
Document the new operating rhythm and train finance users to run it without becoming dependent on a vendor.
Ongoing support
Keep the automation useful with practical monitoring, iteration, and new opportunities as the business changes.
02Work
Automation for the recurring finance work nobody has time to rebuild.
Management reporting
Consolidate source files, reduce month-end copy-paste, and produce recurring packs with clear audit trails.
Excel-heavy workflows
Turn fragile spreadsheets into repeatable scripts, Power Query flows, and controlled operator steps.
Operational data work
Connect practical AI and Python automation to repetitive checks, reconciliations, and exception handling.
03Why Datamelo
Domain depth over generic tooling
The difference is finance judgment before automation code.
Many automation projects fail because the builder does not understand the operating context. Datamelo starts with the reporting rhythm, controls, handoffs, and decision pressure that finance teams already live with.
- Finance-domain diagnosis from someone who has run the work
- Working automation delivered in weeks, not slide decks in months
- Fixed-scope projects with retainer support after launch
- Built for SMEs without internal data engineering capacity
Start small, prove value