Support teams use AI to draft replies and summarise tickets. BeeSensible highlights customer data in the text. One click turns it into a placeholder such as [NAME1], and the reply is just as useful.
Who this is for
65
kinds of sensitive data recognised while you type, in AI tools, email and chat
At once
Checked text is discarded straight away
EU
Our own servers at Scaleway and Hetzner, European companies with no US parent
An angry ticket, a question about an invoice, a complaint you want to handle well: AI helps you find the right words. A customer email is quickly pasted, with the name and account number still in it. BeeSensible highlights those details as you type. One click masks them, and you ask your question as usual.
From the field
A customer has emailed twice and deserves a good answer. An agent pastes the ticket into an AI tool and asks for a friendly reply. BeeSensible highlights the full name, order number and account number. Once they are masked, the question goes out and the draft is just as useful.
During a chat about a return, an agent asks AI for a summary so a colleague can take over. The customer's address, phone number and email are highlighted and become placeholders. The summary still tells the colleague what is going on.
The team lead and the privacy officer want to know which AI tools support uses and which kinds of customer data turn up. BeeSensible shows this as totals per tool and per type of data, along with how often agents adjust highlighted details before sending.
The catalogue holds over 1,000 AI tools, including tools built for customer service, from ticket handling to full AI agents. Each is scored on six dimensions, including data governance, jurisdiction and vendor trust. When a new one comes into use, it shows up in your overview. Then the organisation decides: allow it, allow it with a condition of your own, or disallow it. Decide, say, that DeepSeek is not allowed and Microsoft 365 Copilot is, and anyone opening DeepSeek sees that decision in the browser, with Copilot offered first as the alternative.
Support agents see the sensitive parts while they write the answer.
A ticket history, a chat transcript, a refund request: open it in the dashboard or the extension, or open a PDF in the desktop app for Mac or Windows. Customer names, email addresses, account numbers and phone numbers are highlighted. You choose what goes and share an anonymised version.
Customer Nadia Willemsen, n.willemsen@example.com, 06-18472039.
Requests a refund of €249.95 to account NL91 ABNA 0417 1643 00. Delivery failed twice.
An impression of the anonymisation screen. Detection runs on the document you open yourself.
Why this is hard
Agents use ChatGPT, Copilot and Gemini to draft replies and summarise tickets, often in a tab next to the ticketing system. Clear rules on which tool is fine for what make that work predictable.
Customer names, contact details and account numbers fall under the GDPR. Sharing them with an AI tool nobody has approved can be a data breach, even when everyone acts in good faith.
Ban AI without a workable alternative and use often moves to tools nobody has a view of. Agents need an approved tool and help while they work.
To customers, to the privacy officer, to the regulator. Accountability means being able to show your technical controls, not just point to the guideline on the intranet.
Across support
The same question comes up in every channel, from email to live chat.
Email and tickets
Drafting replies and summarising long ticket histories with names, order numbers and account numbers.
Live chat
Quick summaries and handovers that still contain the customer's address, phone number and email.
Social and reviews
Replies to public posts that may contain customer details or case numbers.
Call notes
Call notes you rewrite or translate, with the caller's personal data in them.
How BeeSensible helps
Sensitive details are highlighted as people write. They decide what to mask or remove.
Highlights customer names, email addresses, phone numbers, account numbers and payment details while you type.
Runs in the browser, in AI tools, email and chat. Plus a desktop app for macOS and Windows, for Outlook and the desktop versions of ChatGPT, Claude and Copilot. No proxy needed.
When something is highlighted, you replace it with a placeholder such as [NAME1], or remove it. The question still makes sense to the AI tool. Your organisation chooses how warnings and masking are set up.
Administrators see patterns by tool and category. What an agent writes is never stored and cannot be read.
For team leads, privacy officers and CISOs
BeeSensible gives you figures to support your controls: how many highlights support adjusted before sending, what happened after a tool notice, and what share of AI use runs through approved tools. All at organisation level, never per employee.
Total detections
12,438
Top apps
Example dashboard. Counts and types only, never content.
Privacy officer
Show customers and the regulator that agents get help while they write a prompt. With figures for each period: highlights adjusted or sent anyway, a recorded decision per AI tool, and what people did with the notice.
Support team lead
The dashboard shows no text and no individuals. Only totals, with no per-employee drill-down anywhere. Insight into patterns, not surveillance of people.
CISO and IT
No proxy and no new application. The extension runs in Chrome and Edge. Detection runs on our own servers, hosted by European providers, with all traffic encrypted in transit.
Honest answers
Straight answers to the questions people actually ask before rolling this out.
The extension checks text in the input fields of supported tools for sensitive data. That text goes to a BeeSensible server at a European provider, is checked in working memory and discarded straight away. The content never reaches the dashboard and cannot be read by an administrator.
Not on its own. You see a highlight in the text and choose: mask or remove. Your organisation chooses how warnings and masking are set up, and whether someone can still go ahead with a tool that is not allowed.
BeeSensible supports your measures with insight and reports. The assessment stays with your organisation. You are the controller, BeeSensible is the processor and signs a data processing agreement (DPA) with you.
Yes. Detection works in Dutch and English and recognises data common in customer contact: names, account numbers, phone numbers and email addresses.
You get information for IT, privacy and security, a rollout plan and an explanation with videos for your team. No proxy is needed. The extension runs in Chrome and Edge, the desktop app is optional. Central rollout through Microsoft Intune or Group Policy is available on every plan.
Compliance
GDPR
Supports your accountability and helps protect personal data as it is entered.
Payment details
Helps recognise card and account numbers before they reach an AI tool or an email.
Data processing agreement
We sign a DPA with every customer. A product DPIA is available on request.
EU processing
Detection runs on our own servers at Scaleway in the Netherlands and Hetzner in Germany. European companies with no US parent, both ISO 27001 certified.
Try BeeSensible for 14 days with a few colleagues, or see it in a demo first.
Rens, BeeSensible
I'm happy to give you a twenty-minute tour. Leave your details and I'll find a time that suits you. You're also welcome to call or email.
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