Case studies and notes
A few of our amazing clients
Gartner expects more than 40% of enterprise AI agents to be demoted or switched off by 2027, and the reason has nothing to do with the model. It is missing plumbing: no agent identity, no access log, no way to answer "what did it touch" once something breaks.
A band of strangers can improvise together the moment someone calls the key and the changes. Your teams can move just as fast, once the same kind of shared structure exists for your data.
Fabric rents you an engine with a floor price; BigQuery meters what you actually scan. Here is the honest cost, residency and skills comparison for a five to twenty person team.
GPAI enforcement is now live and Mistral shipped real product news this month. Here is an honest map of which language models are genuinely EU-owned, which are just EU-hosted, and which give you neither.
A ski tourer reads a danger number, a problem type and a confidence level before deciding whether to go. Most business dashboards only ever give you the number.
Data residency and data sovereignty answer different questions. Here is what each one actually protects, what a CLOUD Act warrant still reaches, and when the difference is worth paying for.
Only one of Article 50's four transparency duties has a clock still running: machine-readable marking for AI features shipped before August. Here is what that actually requires, and what does not wait for it.
Retrieval-augmented generation in one image: the model brings the technique, your data brings the sheet music, and a good system says so when the music is missing.
What an F2 capacity costs in euros, why a one-year reservation is usually the wrong lever, and the Power BI licensing cliff at F64 that quietly lands on your invoice.
The Digital Omnibus pushed high-risk AI Act obligations back to December 2027, but transparency labelling, AI literacy, prohibited uses and GPAI rules did not move. A plain-language calendar and a five-item to-do list.