Your staff are already using ChatGPT — the only question is whether they do it on private accounts with company data, or within rules you set. This guide covers business accounts, GDPR and AI Act duties, training, and the point where a generic chatbox stops being enough.
Last updated: 11 June 2026
ChatGPT can be used safely in an SME, but not on free private accounts. Use a business tier so your data is excluded from model training, set a usage policy (what data may go in, what must not), and train staff — the AI Act's Article 4 literacy duty already applies. For repetitive processes on your own data, a custom AI agent usually beats a generic chatbox.
The free consumer version of ChatGPT is where company data leaks happen: staff paste client e-mails, contracts or financials into a private account that may use those inputs for model training. The business tiers (ChatGPT Business/Enterprise — check OpenAI's current naming and pricing, typically a per-user monthly fee) exclude your data from training, add admin controls and SSO, and give you an audit trail of who uses what.
The rollout that works in practice: pick a business tier, connect it to your identity provider, and define two or three concrete workflows where it saves time — drafting quotes, summarising meetings, first-draft client answers. Vague 'go experiment' rollouts fizzle out within a quarter.
Two legal frameworks touch everyday ChatGPT use. Under the GDPR, personal data of clients or staff may only go into a tool with a proper legal basis and processing agreement — which is exactly what free consumer accounts lack. Under the EU AI Act, Article 4, every organisation whose staff use AI systems has a literacy duty that is already in force: your people must understand what the tool can and cannot do. Parts of the AI Act's high-risk regime have shifted via the Digital Omnibus, but Article 4 is not one of them — see our AI Act checklist for SMEs.
The practical minimum: a one-page AI usage policy (which tools, which data, which checks) and a short training so the policy is actually understood. Our AI-literacy programme (€12,500) covers both, and training costs are often partly SLIM-eligible — we check that free of charge.
ChatGPT is a generic assistant. It does not know your price lists, your stock, your contracts or your ERP — and pasting them in one conversation at a time is not a process. The moment a workflow is repetitive and data-driven, a custom AI agent connected to your own systems outperforms any chatbox:
Start with the €2,500 AI audit: we map where ChatGPT-style tooling genuinely saves time, where it creates risk, and which one or two processes justify a custom build. Then: business accounts + usage policy + training for the generic work, and — where the business case is proven — a fixed-price proof of concept (€20,000) for the process that pays back most, with managed AI (€500/month) after go-live. No tool religion: if ChatGPT out of the box is enough for you, that is what the audit will say.
Yes — organisations whose staff use AI systems have the Article 4 AI-literacy duty, which is already in force: staff must be adequately trained for the AI they use. Everyday ChatGPT use is not high-risk, but the literacy duty and GDPR still apply.
OpenAI's business tiers are priced per user per month (check openai.com for current pricing). The real cost driver is not the licence but rollout done badly: no policy, no training, no defined use cases. Budget for those three.
On business/enterprise tiers your prompts are excluded from model training and covered by a processing agreement — a fundamentally different situation from free private accounts. Even then: set rules for what data may go in, especially personal and client data.
They overlap heavily for everyday office work. Pick by ecosystem (Copilot if you live in Microsoft 365), by policy needs, and by testing on your own tasks. For process automation on your own data, the model matters less than the integration — that is where custom builds come in.
Yes — that is its strength. What they need is not technical skill but judgment: knowing what to ask, what data to withhold and how to check outputs. That is exactly what an AI-literacy training teaches.
When a workflow is repetitive, data-driven and volume matters: quotes, customer service, document processing. A custom agent works from your own systems with acceptance criteria and monitoring — we prove the case first in a €20,000 fixed-price proof of concept.
Audit (€2,500) → policy + training → custom AI where it pays. We'll show you where the line is.
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