AI Exposure · AI chatbot

What Claude actually does with your data

Anthropic's chatbot. The same personal versus organisational story as the others, with the training question put to you as a setting.

Trains on your data
Depends on account and setting
Processed
Not clearly published
Can you turn it off
Not for personal accounts
Verified
2 July 2026, against Anthropic's published documents

What AI is in it?

  • The chat itself. Whatever someone types, pastes or uploads goes to Anthropic's servers to be answered, the same shape as ChatGPT and Gemini.

Does your data train AI models?

Depends on account and setting.

On personal accounts, Free, Pro and Max, chats are used to improve Anthropic's models if the person allows it. The setting is called Model Improvement, under Privacy Settings.

Incognito chats are never used for training even when the setting is on, and conversations flagged for safety review may still be looked at to enforce Anthropic's usage policy.

On the business side, Claude for Work, Team, Enterprise and the API, Anthropic's stated default is: "By default, we will not use your inputs or outputs from our commercial products to train our models." Feedback you send, on any plan, is the exception, and is kept for up to five years.

Where is your data processed?

Not clearly published.

The training pages I read do not state where a personal account's chats are processed.

Anthropic is an American company, so the working assumption for a UK charity is the United States. This is one to ask the vendor directly. If a clear page appears, I will cite it here.

What changes between free and paid?

The account is the story.

The pattern is the same as every chatbot in this directory: a member of staff on a personal Claude account is a consumer, with settings your organisation cannot see or change.

The business plans exist to change that, and on Team and Enterprise an administrator can, for example, switch off feedback submission for the whole organisation.

Can your organisation turn it off?

Not for personal accounts.

Personal accounts belong to the person: the Model Improvement setting, Incognito use and everything else is theirs to decide. Team and Enterprise plans add organisation-level settings under an agreement your charity actually holds.

What does this mean for the people you support?

A chatbot is a chatbot: it only sees what someone gives it, and people give it a lot.

The specific habit to watch is the helpful one, a caseworker or fundraiser pasting real records in to save time, on an account nobody in your organisation controls, whichever vendor's logo is on it.

What to check this week

  1. Check the setting on personal accounts. Anyone using Claude for anything work adjacent should open Privacy Settings and check Model Improvement, and know that Incognito chats are excluded from training either way.
  2. Keep real records out of personal accounts. The rule is the same across ChatGPT, Gemini and Claude: no beneficiary, donor or staff records into an account your organisation does not hold, whatever the settings say.
  3. Give regular users a proper home. If people rely on it, Claude for Work or a private alternative puts the use under your organisation's own agreement, with admin controls and a no-training default.

Sources

Everything above is my plain English reading of what Anthropic publishes. The originals:

Vendors change these documents quietly and often. If you spot something out of date, email me and I'll re-verify the entry.

What this page cannot tell you

This page can tell you what Claude does with what goes into it. It cannot tell you what goes into it at your organisation, and that is the half that matters.

The answers above kept splitting on whose account it is, and the free personal kind is invisible to you: it shows up in no system you run and on no bill you pay, and nobody declares it on a survey.

So the next step is not a setting. It is finding out what is being pasted, by whom, from which accounts, which is what a discovery is for. And your team needs a rule clearer than "be careful", which my free Charity AI Policy Generator writes with you in a few minutes.

See your whole toolkit at once

This page covers one tool. The AI Exposure Report Generator covers your toolkit: tick the tools your charity uses and get one report showing what the AI inside each of them does with your data, as a Word document you can table at your next meeting. Free, and nothing you tick leaves your browser.

The Report Generator, start to finish: tick your tools, read your exposure, download the report.

Generate your charity's AI exposure report →

Read the other tools

The same questions, answered for every tool in the directory.

Your office suite

AI chatbots

Meeting notetakers

Charity CRMs

Accounts

Marketing and design


Start with a discovery

The first step is always the same, and it's a small one: a short, fixed-price discovery. Over a couple of weeks I work out what your team is already doing with AI, where your data actually lives, and the one thing worth building first. You get a written report and a call to talk it through, with no obligation to go further. It's genuinely useful on its own, whether or not we end up building anything.

Here's a sample, laid out exactly as the real one is delivered.

Cover of a sample Private AI Discovery report, prepared for a UK charity
See the sample report → PDF, opens in a new tab

For context: I work mainly with UK charities and non profits, with chief executives, operations and finance directors, programme leads, and the people who look after data and IT. Respectfully, I don't work with recruitment or development agencies.

Not sure it's time for that yet? Just email me, tell me who you are and what your organisation does: peter@peterbrady.co.uk