ChatGPT at Work: How to Protect Company Data and Use AI Safely

Drafting emails, summarising meetings, translating, analysing spreadsheets: generative AI has become part of many teams' daily work, often with no rules. The main risk isn't the tool itself but what gets pasted into it: customer data, contracts, internal figures. Here's how to benefit from AI without exposing your business.

The risks to know

• Confidential information leaks into consumer tools whose terms nobody checked.
• Personal data about customers or employees shared without a legal basis, while laws such as Morocco's Law 09-08 regulate its processing.
• Wrong answers ("hallucinations") copied into documents or sent to customers.
• Personal accounts used for work, with no control and no recovery when someone leaves.

Consumer vs business plans

Vendors generally offer business plans (team, enterprise, API access) with different commitments on data use, retention and account administration. Read the terms of each plan and pick the one that matches how sensitive your data is.

Write a simple AI policy

1. Define the approved tools and accounts (business accounts only).
2. List what must never be entered: identifying customer data, health data, passwords, documents marked confidential.
3. Require human review of anything sent outside the company.
4. Name a go-to person for questions and new use cases.
5. Train teams with concrete examples from their own work.

Going further: an AI assistant on your own data

For sensitive work, the best option is often an internal assistant that answers from your documents (procedures, offers, knowledge base), hosted in a setup you control: API access with privacy commitments, per-team permissions, or even open-source models on your own servers. That's the RAG approach explained in our RAG guide.

How we help

We build AI agents connected to your documents and tools, with clear access rules and an architecture matched to how sensitive your data is. Let's talk about your project.