Know which AI tools your organisation uses, and what goes in.
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 what for, and which sensitive data goes into them. So you know what your agreements need to cover.
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 them on their own. A list of purchased tools says nothing about that.
The extension notices when someone opens an AI tool and reports only the domain, without a user id. Every tool in use without a decision 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. At this organisation Otter.ai, an AI note-taker, is new in the Inbox: 130 visits in 30 days, risk High, no decision yet.
The Inbox: tools without a decision yet. Demonstration with fictional data.
See how many people use AI, and what for.
The board asks how far the organisation is with AI. Nobody has a figure.
You see how many of your users used AI this month, how often, in which tools and for which tasks: summarising, communication, analysis, coding. The share that runs through allowed tools sits alongside.
You know what is happening and can name it. This does not measure productivity: how many people use AI and what for, not what it yields.
Insights > Usage. Demonstration with fictional data.
See which sensitive data ends up in AI tools.
Every DPO's question: is personal data going in? Without measurement the answer is a guess.
BeeSensible recognises 65 kinds of sensitive data while someone types, from names and ID numbers to account numbers and medical terms. You see per kind and per app how often they occur and what happened: masked, removed or sent anyway.
You know where the risk sits and where training or policy should focus. The text itself is not kept and not shown.
Insights > Sensitive data. Demonstration with fictional data.
See whether the agreements are followed.
DeepSeek is not allowed. A month later it is still being visited. You want to know that, because it may mean the alternative is not good enough.
Compliance shows what share of AI use runs through allowed tools, which tools that are not allowed still get 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. That is not a verdict on employees, but a question for your policy.
Insights > Compliance. Demonstration with fictional data.
Counts per organisation, never who.
Nobody is tracked
Visits, prompts and usage arrive without a user id. There is no drill-down per employee and no text to read.
Figures from five active users
Below that the dashboard shows no figures. Which tools were seen stays visible.
Only what the extension sees
Visits to AI sites come from the extension in Chrome and Edge. A tool nobody opens there stays out of view.
No decision on your behalf
The risk score is information. Every tool starts on "no decision yet".
Start with a view of AI use in your organisation.
Roll out BeeSensible and watch the first weeks. Then decide per tool what is allowed. Fourteen days free, no credit card.
14 days free, no credit card. Rolled out across your organisation within an hour.
