AI governance for everyday work
BeeSensible shows which AI tools your team uses and flags sensitive data the moment someone types it, in ChatGPT, email, chat and documents. The detection engine can run entirely on your own device, so sensitive text never has to reach a cloud.
"Awareness fades when you're busy. That's why we use BeeSensible." Debby Elfrink, Operations director, Speck Pompen
Works with every tool your team already uses
ChatGPT 
Copilot 
Grok 
Outlook 
Facebook The problem
Most teams cannot say which AI tools they use, or what goes into them.
KPMG and the University of Melbourne asked 48,000 working people in 47 countries how they use AI on the job. The answers describe everyday behaviour, not rare accidents: people work fast, paste context, and keep their AI use out of sight.
Source: KPMG & University of Melbourne, Trust, Attitudes and Use of AI: A Global Study, 2025.
How it works
Three steps for AI use at work: see which AI tools your team uses, take sensitive data out of prompts and documents, and turn the result into a number you can show.
Signal
Every tool, how often, and whether it is approved. Anonymous, never tied to a person. 700+ AI tools come already risk-scored with a suggested policy; you confirm or override. Anyone opening an unapproved tool gets a nudge in the browser, not a block.
Anonymise
Names, IBANs, BSNs and 65 data types are flagged as someone writes in ChatGPT, Gmail, Slack and 20+ more. One click to replace, mask, or remove. Clean a full PDF the same way before you share it or hand it to AI.
Analyse
Handled rate, detection categories, which tools create the most risk, and how trends move over time. Aggregated, never individual monitoring.
Where detection runs
01
On a local plan, the desktop app hosts the detection engine and runs it on the machine. Text from the browser, email, and documents is checked locally. Nothing leaves the laptop.
02
Rather not install anything? Detection runs in EU memory (Scaleway NL, Hetzner DE) and is discarded immediately. Nothing is stored either way.
03
People remove, replace, or mask what matters. BeeSensible shows the risk without taking over the work.
On a local plan, detection runs on the device itself. Your text never leaves the machine.
Dear Jane Foster,
Someone types
in ChatGPT, email or a document
Processed on device
the engine runs on the machine, nothing leaves
Check your policy
aggregated numbers for analysis and compliance
Why BeeSensible
Most teams have already tried to manage AI risk one of these ways. Each one breaks at the same moment: someone is busy, pastes context, and hits send.
People know the rules after a workshop and forget them under deadline pressure. Knowledge is no guarantee of behaviour.
BeeSensible puts the warning in the draft itself, at the moment the risk appears.
Classic DLP and monitoring suites can watch for sensitive data, but they send your team's text to a vendor cloud to do it. The privacy tool becomes a privacy risk of its own.
BeeSensible runs the detection engine on the device. It sees the risk without your text ever leaving the machine.
Block ChatGPT and people move to personal accounts and tools IT has never heard of. The risk does not disappear. It moves out of sight.
BeeSensible keeps the tools open, shows which ones are used, and nudges when one is not approved.
Hoping it goes well, while almost half of employees admit putting sensitive company information into public AI tools. One pasted client record can become a reportable incident.
BeeSensible shows the patterns of what almost left, without storing what people write.
Operations director Debby Elfrink fully embraces AI. She sees the upside, wants her team to use it, and knows what can go wrong.
Everyone here knows you have to be careful with customer data. But that awareness fades when you're busy. Knowledge is no guarantee of behaviour. That is exactly why we use BeeSensible.
Annemieke Jongbloed advises SMEs on AI governance through Way Projects. She connects HR, change leadership, and how AI tools show up in real work.
Making agreements is step one. Giving employees the means to follow those agreements in practice is the next.
Solutions
Pick the situation closest to your work. Each page shows the sensitive details that tend to appear there, and how the warning appears before anything is sent.
Since July 2026, Bombus 1.2 is the standard engine behind BeeSensible. A smart combination of fast AI techniques and hard rules, working as one judgement. It builds on Osmia 3.3, our earlier detection engine, and reads sharper: higher recall and stronger on structured data like IBANs and medical codes. It runs on your own device or in the EU, live while you type and across full documents.
How it works
From our blog
Practical articles on where sensitive data leaks into AI tools, what the rules ask of you, and how to roll out AI without a ban.
See which AI tools your team uses, catch sensitive data before it is sent, and keep detection on your own device. Free trial, no credit card.
