Control over AI
Customer support

Customer data stays in the ticket, not in the prompt

Support teams use AI to reply faster and summarise tickets. BeeSensible highlights customer data in the text you write, before a reply or email leaves the desk.

  • On-device or EU processing
  • No content stored
  • Helps with GDPR

Who this is for

  • Support agents drafting replies to customer enquiries
  • Account managers using AI to summarise ticket histories
  • Team leads reviewing conversations and escalations
  • Privacy officers and CISOs overseeing customer contact
Support agent working at a desk

18

apps with a highlight while you type: AI tools, email, chat, and social

0 sec.

The text you type is processed and discarded at once

Local or EU

Detection runs on-device or on EU infrastructure

An angry ticket, a question about an invoice, a complaint you want to handle well: exactly the messages where AI saves time. And exactly the messages with names, addresses, and account numbers in them. BeeSensible highlights that data while you type, so you can remove it before you send.

From the field

Three moments your policy never reaches.

In the inbox

Pasting a ticket for a quick reply

An agent has a full queue and a customer who has already emailed twice. She pastes the whole ticket into ChatGPT and asks for a friendly reply. That ticket holds the customer's full name, order number, and account number. The reply is ready at once, and the data has left the company.

In live chat

A complaint that gives away more than needed

During a chat about a returned product, an agent asks AI for a summary so a colleague can take over. The customer's address, phone number, and email all go into the prompt. The summary reads well, but the customer's personal data has now been processed by an outside tool.

At the team lead's desk

The question you cannot answer

After a privacy complaint, the privacy officer wants to know which customer data ended up in which AI tools. A guideline on responsible AI use exists. Proof that agents got a warning at the moment itself does not.

01 See and decide

See which AI tools support already uses, and decide per tool what is allowed.

The catalog already covers more than 20 AI tools built for customer service, from ticket handling to full AI agents, each scored on data governance, jurisdiction, and vendor trust. When someone on the team opens one, you see it appear. Then the organisation decides: allow it, allow it with a condition of your own, or not allow it. Anyone opening the tool afterwards sees that decision in the browser, with the approved alternative leading.

20+ support AI tools already risk-scored in our catalog
Search tool, vendor or categoryโ€ฆ
700+ tools
ChatGPT๐Ÿ‡บ๐Ÿ‡ธ
HighAllowed
Claude๐Ÿ‡บ๐Ÿ‡ธ
MediumAllowed
DeepSeek๐Ÿ‡จ๐Ÿ‡ณnew
CriticalNot allowed
Perplexity๐Ÿ‡บ๐Ÿ‡ธnew
MediumNo decision yet
Mistral๐Ÿ‡ซ๐Ÿ‡ท
LowNo decision yet
Midjourney๐Ÿ‡บ๐Ÿ‡ธ
MediumNo decision yet
02 Guidance while people write

Customer names, account numbers, and payment details are marked before support replies.

Support agents see the sensitive parts while they write the answer.

ChatGPT5
Summarise the last 3 support emails from this customer.
I can help draft the escalation. Review the card number before forwarding to the payments team.
I need to escalate: client Anna Kowalski, account #CS-48291, says her โ‚ฌ3,200 card payment 4532 1234 5678 9010 was processed twice on 3 May.
ChatGPT can make mistakes. Check important info.
03 Clean

Clean a ticket export before it goes into an AI tool.

A ticket history, a chat transcript, a refund request: open it in the Mac or Windows desktop app, and customer names, email addresses, account numbers, and phone numbers are marked for you to remove before you share the document or paste it into AI.

Ticket export.pdf
Customer name
Email address
Account number
Phone number

Why this is hard

The risk sits in the moment someone types.

01

AI is already open next to every ticket

Agents use ChatGPT, Copilot, and Gemini to draft replies and summarise tickets. Often in another tab, next to the system. Policy lags behind what happens every day.

02

Customer data is personal data

Customer names, contact details, and account numbers fall under GDPR. Pasting them into a consumer AI tool is a breach, even when the agent acts in good faith.

03

A ban backfires

Banning AI outright gives you no safety, only tools people keep using quietly. Agents need help at the moment they type, not a rule they route around.

04

You have to be able to explain it

To customers, to the privacy officer, to the regulator. Accountability means showing that technical controls work, not just that a guideline exists on paper.

Across support

Recognisable wherever you work.

The same risk shows up in different channels, 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 where the customer's address, phone, and email go along.

Social and reviews

Replies to public posts where customer details or case numbers slip in by accident.

Call notes

Call notes you rewrite or translate, full of the caller's personal data.

How BeeSensible helps

A warning in the text field, before anything is sent.

Sensitive details get a highlight while staff write. They decide what to remove, replace, or mask.

Recognises customer data

Highlights customer names, email addresses, phone numbers, account numbers, and payment details while you type.

Works in the tools you already use

Runs in the browser, in AI tools, email, and chat, plus a desktop app for macOS and Windows for document redaction and on-device detection. No proxy, no training up front.

You stay in control

You choose: remove, replace with a realistic alternative, or mask. The extension never changes your text on its own and never blocks sending.

Counts, not content

Administrators see patterns by tool and category. What an individual agent writes is never stored and cannot be read.

For team leads, privacy officers, and CISOs

Show the control works, without looking over anyone's shoulder

BeeSensible gives you the figures accountability asks for: how many markings support adjusted before sending and how many went out anyway, 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

  • ChatGPT
  • Gmail
  • Gemini
  • Slack

Example dashboard. Counts and types only, never content.

Privacy officer

A control you can demonstrate

Show customers and the regulator that a control sits at the moment of input, with figures per period: markings adjusted or sent anyway, a recorded decision per AI tool, and what people did with the notice.

Support team lead

No view into individuals

The dashboard shows no text and no single people: only aggregate counts, with no per-employee drill-down anywhere. Insight into patterns, not surveillance of people.

CISO and IT

Nothing changes in your stack

No proxy and no new application. The extension runs in Chrome and Edge. Detection runs on-device or on EU infrastructure, all traffic encrypted in transit.

Honest answers

The questions we hear first.

Straight answers to the questions people actually ask before rolling this out.

Does BeeSensible watch everything agents type?

No. The extension analyses text in the input fields of supported tools to highlight sensitive data. In on-device mode, that text never leaves the machine. Otherwise it travels to a BeeSensible server inside the EU, is processed in working memory, and is discarded at once. The content is never stored and cannot be read by anyone, not even an administrator.

Does it block AI tools or block sending?

No, BeeSensible blocks nothing. You see a highlight in the text and choose what to do: remove, replace, or mask. The agent stays in control, and the team gets insight into patterns.

Does this make us GDPR compliant?

No tool makes you compliant on its own. BeeSensible helps with GDPR by covering the moment of input and supporting your accountability. Your organisation stays the controller, BeeSensible is the processor, and a processing agreement is signed.

Does detection work on Dutch data too?

Yes. The detection engine handles Dutch and English reliably and recognises data common in customer contact, such as names, account numbers, phone numbers, and email addresses.

How much work is the rollout?

Limited. There is no proxy to configure. The desktop app for on-device detection and document redaction is optional. The extension runs in the browser your team already uses and can be rolled out centrally through your management console.

Compliance

Built to support the checks you already have to show.

GDPR

Supports your accountability and covers the moment personal data is entered.

PCI DSS

Helps recognise payment details and account numbers before they reach an AI tool or email.

Processing agreement

A processing agreement is signed with every customer. A product DPIA is available on request.

EU processing

Detection runs on the user's own machine, or on ISO 27001 certified EU infrastructure (API in the Netherlands, detection in Germany).

Give agents a signal at the moment that counts

BeeSensible works in the tools your support team already uses. No rollout project, and you see your first detections in minutes.