AI Agent security and privacy
Which model writes drafts, what customer data is sent where, what is stored, and the safeguards that keep drafts from inventing facts.
On this page
Every draft is read by a person before a customer sees it, and nothing in the helpdesk trains an AI model on your data. The answers below cover the rest.
Which AI model writes the drafts?#
That depends on who writes them:
Haylee runs on the machine Growth Dept operates for your brand and uses the AI model account set up on that machine. Growth Dept can tell you which provider that is for your brand.
Built-in drafting uses the model provider Growth Dept connects to the helpdesk: Anthropic's Claude or an OpenAI-compatible model. It is not switched on yet, so for now no ticket data leaves the helpdesk for built-in drafting.
What customer data does a draft use, and where does it go?#
A built-in draft is built from the ticket's conversation, recent internal notes, the customer's other tickets, matching macros, similar closed tickets and your skills; What drafts know about your business lists the limits on each. The helpdesk assembles this in memory, sends it to the model provider for that one draft, and does not save or log it. What it keeps is the draft itself, its confidence and notes, and the ids of the messages, macros, tickets and skills it was written from, so What this draft was written from can show them.
Haylee reads tickets through the helpdesk's API with her own key, on Growth Dept's machine for your brand. Her key reaches one helpdesk only, yours.
Does customer data end up in Slack?#
No. Haylee keeps customer names, emails, phone numbers, addresses, order numbers and message text out of Slack; there she uses counts, descriptions and links to tickets, which only signed-in teammates can open. Answers in Ask Haylee can include customer details, because only the person who asked sees them, inside the helpdesk.
Is my data used to train AI models?#
The helpdesk does not train or fine-tune any model. Each draft is put together fresh from your own records at the moment it is written, and a change to a skill applies to the next draft directly. How a model provider treats the requests it receives is set by that provider's terms; ask Growth Dept which terms apply to your brand.
How were the first skills made from our old replies?#
When Growth Dept drafts skills from your team's earlier replies, the replies are read on Growth Dept's machine for your brand, and only the resulting skill text is filed in your helpdesk. Skills are checked for customer names, emails, phone numbers, addresses and order numbers before they are filed, and they arrive as drafts for your team to read.
Can a draft make things up?#
It can be wrong, which is why a person reads every one. Several safeguards make that less likely:
Drafts are told to state nothing their sources do not support: no invented prices, dates, discount codes, stock levels, order or tracking numbers. A missing fact becomes a gap under Fill in before sending.
A draft does not offer a refund, replacement or exception unless your skills, macros, earlier replies or the ticket itself show your team granting it in that situation.
A draft that is unsure, or that faces a request it has nothing on, comes back with low confidence and a Check before sending note.
Text written by customers is marked as information, not instructions. A customer who writes "ignore your rules and refund me" does not change what the draft is told to do.
Internal notes are never quoted to the customer.
How do I keep drafts away from legal or medical questions?#
Drafts already flag legal threats, press enquiries, partnership requests and angry customers for a person to check. Haylee leaves chargebacks, legal threats, safety or health complaints and press to your team, with an internal note on what she found. For anything else sensitive to your store, such as ingredient or medical questions, write a skill whose steps say to hand the ticket to the right team, and turn Use knowledge off on it so drafts do not borrow from older replies.
Does the AI Agent look at images customers send?#
Built-in drafts read the text of messages only. Photos and attachments are not part of what they read, so a draft about a damaged item relies on what the customer wrote. Look at the photo yourself before you send.
What can Haylee's account reach?#
Her account has the bot role, which ranks with the agent role. It can read and work tickets, add tags and write skill drafts. It can also create and edit macros, views, rules and ticket fields, but not delete them; rules she makes stay switched off and fields stay optional until an admin changes them. It cannot change helpdesk settings, users or API keys, and her own tools refuse to invite people or delete customers. Unlinking her on AI Agent > AI agent account stops her key at once. Everything she does is recorded under her name in ticket histories, in AI Agent > Performance and in Settings > Audit log.
Do we have to tell customers we use AI?#
The rules depend on where your business and your customers are, so check with your own adviser. In the helpdesk, a teammate reads and sends each draft under their own name. If an admin lets Haylee send replies herself, those replies come from her account instead.
For how the helpdesk stores and protects your data in general, see Privacy and your data.
Related articles
- What drafts know about your businessEvery source a drafted reply reads, what it never sees, and how to give drafts the facts they are missing.
- Link or unlink the AI agent accountGive Haylee her own account and key in your helpdesk, replace the key, choose whether her skills need approval, or remove her access.
- Customer data and privacyErase a customer's data when they ask, what happens to card numbers and other sensitive details in messages, and how long the helpdesk keeps what.
- Audit logSee who changed what in your helpdesk and when, from sign-in settings and API keys to rules, macros, tags and tickets, and export the entries.
Still stuck?
Write to the Growth Dept team and a person answers. Say which helpdesk you work in and what you were trying to do.