AI for business
Give Your Team the AI They Already Use
Your people are using AI today, on private accounts you cannot see. The question is not whether to allow it, but whether it happens somewhere you can stand behind.
Banning it does not work
Forbid the tools and the work does not stop. It moves to personal phones and private logins, where nothing is logged and nothing can be called back. The good news buried in that: your people already want to use AI, so adoption is not your problem.
It is already happening
In a Bitkom survey of German companies last summer, a quarter reported staff using private AI accounts for work. Those are only the ones who noticed.
And company data goes with it
In a Cisco survey of security professionals, almost half admitted pasting internal company information into a public AI tool.
It ends up in the incident report
IBM found that one organisation in five had a breach involving unsanctioned AI, and that cleaning those up cost hundreds of thousands more than the rest.
And hardly anyone has rules
Fewer than a quarter of companies have any rules for AI use at all. A ban is not a rule. It is a rule people quietly work around.
The fix is an account, not a policy
People stay on the approved tool when it is as good as the private one. Then nobody has to be policed, and you get a record of what is happening.
- A Swiss provider with everything published
- Processing on hardware we own
- Nothing your team types trains a model
- Histories stay on the devices they were made on
- Inside your own building if you need it
What changes on day one
Adoption without a fight
MATE does the same everyday work: drafting, research, summarising, working with files. Choosing the approved route costs your team nothing, which is the only reason a policy ever sticks.
One account, one contract
This is the step that turns an invisible data flow into one you can govern. Records, reviews, access control: none of it works while the traffic runs on personal logins.
What your team types stays yours
No draft contract, patient note or unreleased roadmap becomes training material. Nobody has to guess which documents are safe to paste, which is the guess people always get wrong.
Swiss processing, on our own machines
We own and run the data centres. There is no cloud contract underneath that could move your workload somewhere cheaper or change the terms at renewal.
Or no data centre at all
On-device Mode works on the employee's own device, so for that work nothing reaches us. For the most sensitive drafting, that is as short as the path gets.
Up to running it in your own building
Where requirements demand it, MATE can run on your premises or in MATE Cloud, with approved integrations inside boundaries you set. The technology page has the detail.
The new AI rules, made manageable
European rules now expect companies using AI to train their staff in it. That is far easier with one tool and one set of instructions than with a dozen private accounts nobody can see.
Prove it on one team first
Every privacy promise applies on the free plan too, so a pilot tests the real thing. Start with one team, measure it against your own requirements, expand from there.
Start where it would hurt most
Take the team handling your most sensitive material, the one you would least like to find on a private AI account, and give them MATE first.