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Case studies

Real cases, measured numbers.

Four processes, in four industries, documented in detail. Each case is the full presentation, to browse right here: the starting point, what actually changed and what it is worth, with an explicit distinction between what we measured and what is an estimate on real volumes.

Why a case is repeatable

The process changes, the conditions do not.

The process differs from company to company, but the conditions that make the return fast are always the same four. If you recognise them in your situation, the cases above concern you more than it seems.

High, repetitive volume

A process that shows up every day in the same shape, where saved time multiplies.

Unstructured input

Email, PDFs, spreadsheets: where AI adds value and where classic automation stops.

Knowledge that already exists

Catalogues, price lists, quote history. Messy material is fine: no data project needed first.

A person who does it by hand today

The process is mapped by interviewing whoever runs it: no system logs to clean up before starting.

The next case could be yours.

A few days on a high-volume manual process: we map it, introduce automation and measure the return.