Both run on AI. The difference is who does the work: with ChatGPT, a person asks and copies the answer. With an agent, the routine runs on its own inside your systems, and you approve what matters.
Side by side
| Criteria | ChatGPT on its own | Agent in your operations |
|---|---|---|
| What it is | OpenAI’s chat assistant, which answers when someone asks. The Enterprise plan adds more data controls for companies. | An agent that runs an entire routine without anyone having to ask. |
| Who does the work | Each person asks, copies, pastes and double-checks. | The agent handles it end to end. Your team only steps in where people are needed. |
| Your systems | Depends on what each person connects or pastes into the chat. | Connected to your ERP, CRM, WhatsApp, email and spreadsheets. |
| Control | Each user decides what to do with the answer. | You approve what matters. Everything is logged. |
| Who builds and maintains it | Your team, whenever they find the time. | We build, monitor and fine-tune it together with your team. |
| Results | Hard to measure, scattered across people. | Hours given back and money saved, measured every month. |
Based on public information about each tool, checked in October 2026 · names and trademarks belong to their owners
When ChatGPT is enough
When an agent makes more sense
You can use both: your team keeps ChatGPT for everyday work, and the agent takes over the routines that repeat.
FAQ
It can. We pick the AI model that works best for each task, whether from OpenAI, Anthropic, Google or another provider. What changes is that the agent runs the whole routine inside your systems.
No. It’s still useful day to day. The agent takes care of what repeats and has to happen inside your company’s systems.
The agents run in your company’s own accounts, with access only to what the routine needs, human approval where it matters and a log of everything they do.
Other comparisons