Know which AI tools your organisation uses, and what goes into them.
You bought ChatGPT or Copilot, and people keep finding other useful AI tools on their own. BeeSensible shows which tools are in use, how often and for what, and which sensitive data goes into them. So you know what your AI policy needs to cover.
Prefer to try it yourself? 14 days free, no credit card.
Home in the dashboard. Demonstration with a fictional organisation.
See which AI tools are in use, including the ones nobody asked for.
An AI note-taker, a presentation tool, a free chatbot: employees find these on their own, and a list of purchased tools won't show them.
The extension notices when someone opens an AI tool and reports only the domain, without a user ID. Every tool in use that has no decision yet appears in the Inbox, with the facts from our catalogue: vendor, hosting, training policy, known incidents and a risk score.
You see which tools are in use and which of them need attention. In this organisation, Otter.ai, an AI note-taker, has just appeared in the Inbox: 130 visits in 30 days, risk High, no decision yet.
The Inbox: tools with no decision yet. Demonstration with fictional data.
See how many people use AI, and what for.
The board asks how far along the organisation is with AI. Nobody has a number.
You see how many of your users used AI this month, how often, in which tools and for which tasks: summarising, communication, analysis, coding. Alongside that, you see what share of use goes through allowed tools.
You know what is happening and can put numbers on it. This doesn't measure productivity: it shows how many people use AI and for what, not what it delivers.
Insights > Usage. Demonstration with fictional data.
See which sensitive data ends up in AI tools.
Every DPO asks the same question: is personal data going in? Without measuring, the answer is a guess.
BeeSensible recognises 65 types of sensitive data as people type, from names and ID numbers to account numbers and medical terms. For each type and each app, you see how often it appears and what happened next: masked, removed or sent anyway.
You know where the risk lies and where training or policy should focus. The text itself is neither stored nor shown.
Insights > Sensitive data. Demonstration with fictional data.
See whether people follow your AI policy.
DeepSeek isn't allowed, yet a month later people are still visiting it. That's worth knowing, because it may mean the alternative isn't good enough.
Compliance shows what share of AI use goes through allowed tools, which tools that aren't allowed are still being visited, which tools have no decision yet, and what people did after a notice: opened the alternative or continued anyway.
You see where policy and practice drift apart, and can adjust course. It's not a verdict on employees but a question for your policy.
Insights > Compliance. Demonstration with fictional data.
Counts for the organisation, never for individuals.
Nobody is tracked
Visits, prompts and usage come in without a user ID. You can't drill down to an employee, and there's no text to read.
Figures once five users are active
Until then, the dashboard shows no figures. The list of tools it has seen stays visible.
Only what the extension sees
Visits to AI sites are reported by the extension in Chrome and Edge. A tool nobody opens there won't show up.
No decision on your behalf
The risk score informs you; it doesn't decide for you. Every tool starts at "no decision yet".
Start by seeing how your organisation uses AI.
Roll out BeeSensible and see what comes in over the first few weeks. Then decide, tool by tool, what's allowed.
14 days free, no credit card. Rolled out across your organisation within an hour.
