Is my business data safe with AI automation?
The right first question — and one most vendors hope you won't ask in detail. Here's what actually happens to your data, and the questions that separate safe setups from risky ones.
When a workflow reads your inbox, your CRM and your invoices, "is this safe?" isn't paranoia — it's diligence. The honest answer: it depends entirely on how the automation is built, and you can evaluate that with five questions, no technical background needed.
The five questions to ask any vendor (including us)
- 1. Where does my data physically go? Good answer: it moves between your existing tools and a model API over encrypted connections, and isn't copied into some new database you've never heard of. Data should live where it already lives.
- 2. Is my data used to train models? The critical distinction: consumer chatbot accounts may use conversations for training; business API tiers from the major providers contractually don't. Any professional setup uses the latter. If a vendor doesn't know the difference, end the call.
- 3. What access scopes does the workflow hold? A returns workflow needs your orders, not your payroll. Minimal scopes, granted per workflow, revocable by you at any time — you keep the keys.
- 4. What's logged? Every action, with inputs and reasoning, reviewable by you. Logs are how you audit, and how approval boundaries get enforced honestly.
- 5. What happens when we part ways? Access revoked, credentials destroyed, and your workflow documentation handed over. Get it in writing — ours is in our terms.
The threat people miss
Shadow AI — staff using consumer tools ad hoc — is how business data actually leaks. A governed workflow with proper API tiers, scoped access and logging is not just more convenient than the ad-hoc version; it's dramatically safer. Regulated industries (law, accounting, health) automate successfully by adding review gates, not by abstaining.