Examples

Worked examples: Large organisations

Find the situation that looks like yours.

Filter: Large organisations. Showing 7 of 14 examples. Show all 14 examples. These are worked examples. They do not describe real clients.

Finance

The pricing model for life cover and the date of 2 December 2027
An insurer prices life cover with machine learning, so we would build in the file of a high-risk system.
Two registers that do not join
A bank cannot match its AI to its supplier register; we would build a tested route to leave its provider.

When the client's guidelines say no model provider may see the file
A law firm's client forbids model providers, another expects AI; we would build a route per matter, set at intake.

Speech driven reporting arrived before the governance did
A mental health organisation already reports by speech recognition; we would log who generated and who approved each note.
The ranking your recruiters asked a chat assistant for is on the high risk list
Recruiters rank applicants with a chat assistant; we would build screening overseen by named people and tested on past applications.
What a municipality must be able to show about the algorithm behind a benefit decision
A municipality's model picks benefit applications for extra checks; we would build it so a caseworker can deviate from it.
What the board of a water company approves when it approves artificial intelligence
Engineers give pumping station settings to an unlisted chat assistant; we would build an air-gapped assistant on the premises.