Use cases
From problem to result.
One illustrative scenario per solution: what happens before, what we do, and what changes.
A team ran its work on a shared spreadsheet. Now everyone sees what is theirs.
A team manages its work in a shared spreadsheet that breaks easily and never warns about deadlines.
We turn it into a web app for several users, with assignment rules and deadline alerts.
Everyone sees what is theirs and what is due, without touching the spreadsheet.
Hundreds of PDFs a week, copied by hand. Until they weren’t.
An office receives hundreds of PDFs and scans that someone types into a spreadsheet by hand.
Faithful extraction with OCR and AI, with people reviewing only the doubtful cases.
Data ready to use, traceable back to the page it came from.
An overflowing inbox, sorted before the first coffee.
The customer-service inbox overflows and invoices get lost among the emails.
Automatic classification, draft replies that a person reviews, and invoices filed on their own.
Less time sorting and nothing important left unanswered.
An online shop that recommended the same thing to everyone.
An online shop recommends the same products to every customer.
A recommendation engine trained on the shop’s own data.
Suggestions that fit each customer.
Meetings that end with clear minutes, not vague memories.
Meetings end without minutes and decisions are forgotten.
Transcription and a summary with the decisions and tasks.
Clear minutes in minutes, easy to search.
Long files, reviewed faster and more thoroughly.
A firm takes too long to review long case files.
A team of agents that reviews, cross-checks and flags doubts, always with a person at the end.
Faster, more complete reviews.
From “where do we start?” to using AI with clear rules.
Leadership wants to use AI, but the team doesn’t know where to start or which data it may use.
A practical workshop, usage rules and an anonymisation guide.
The team uses AI with confidence and clear rules.
