Excel-to-system transformation
The spreadsheet that runs a department becomes a web system with real records, permissions, history and validation — without losing the way the team already thinks.
Custom workflow automation that replaces spreadsheets, fragmented tools and paper processes with software: validated data entry, approval workflows, scheduled jobs, internal tools and the integrations between them. The measure is simple — how many hours a week stop being spent retyping.
The work starts by watching the process as it actually runs, not as the org chart describes it.
The spreadsheet that runs a department becomes a web system with real records, permissions, history and validation — without losing the way the team already thinks.
Multi-step approvals with roles, deadlines, escalation and an audit trail, so a stalled request is visible instead of sitting in someone's inbox.
Documents, forms, imports and machine input parsed and checked at the boundary, so bad data is rejected where it enters rather than found at month-end.
The screens the operation actually needs — daily lists, exception queues and the numbers a manager checks before a meeting.
Recurring exports, reconciliations, notifications and syncs that run on their own — with alerting when one does not.
None of these look urgent on any single day. They are the reason headcount grows faster than revenue.
A process that exists only as a habit, documented nowhere, and different depending on who is doing it.
Because the numbers are assembled by hand from exports of systems that never agreed in the first place.
When they are on holiday, the work stops — and their spreadsheet is the only documentation.
Nothing validates the data at entry, so a typo travels all the way to an invoice or a delivery.
There is no record of who approved what, and no way to show it later.
The rules are complicated enough to need a person, but simple enough that software should be doing them.
Manual tracking across loose Excel files became one operational hub that handles record generation, validation and team access on its own.
Production data that used to be written on a clipboard now arrives in the systems that make stock and planning decisions.
Read the case study →With the step that is repeated most and trusted least. That is usually a data-entry or reconciliation task, and automating it first pays for the next stage while proving the approach to the people who have to use it.
Usually not. Most automation sits between systems that already work — reading from one, validating, and writing to another. Replacing a system is a separate decision, and a more expensive one.
In the projects here, they became the people who handle the exceptions instead of the routine — and they are usually the best source of requirements, because they already know every case the software will have to survive.
Tell me what you are trying to build, automate or scale. You get a straight answer on fit within a day — and a name to call if it is not me.