OpenAI has restructured ChatGPT around three distinct modes: Chat for everyday conversation, Codex for software development, and — the one worth understanding this week — Work, a genuinely different kind of tool. Rather than answering a question in the moment, Work is built to take a multi-step task, run it independently across hours if needed, and hand back a finished deliverable: a spreadsheet, a report, a slide deck, a small web app. It’s bundled into Plus, Pro, Business, and Enterprise plans at no extra cost, powered by the same-day GPT-5.6 model family, and increasingly available across web, mobile, and desktop. For SME owners who’ve mostly used ChatGPT as a faster search box or drafting assistant, this is a meaningfully different proposition.
Why “agentic” is the word that matters here
The shift from answering to doing is the whole story. A tool that drafts an email when you ask it to is useful but bounded — you’re still doing the orchestration. A tool that reads data from your connected apps, works through a multi-step process on its own, and returns with something close to finished work changes what you can realistically delegate to it. That’s genuinely valuable for a small business without a spare pair of hands for research, reporting, or repetitive document work. It’s also exactly the kind of capability that raises new questions the moment it touches anything containing customer data, financial figures, or commercially sensitive information — because “working independently for hours” also means “acting without a human checking each step.”
What to actually check before you switch it on
Before connecting Work to anything with real business data, treat it like you would any new starter with access to your systems: what can it actually see, what can it do without asking, and is there an audit trail of what it did? Start with a low-stakes task — pulling together a market summary, drafting a first-pass report from public information — before pointing it at anything involving client records or financial data. Check your data protection policy covers AI tools that act autonomously, not just ones that respond to prompts, since UK GDPR obligations don’t relax just because a task was delegated to software rather than a person. If you’re not sure where the line should sit for your business, that’s a genuine governance gap worth closing before adoption outpaces the policy, not after.
Also worth confirming: which of your other business tools does the agent get connected to, and could you disconnect that access in a hurry if something went wrong? An agent that can read your inbox, your files, or your CRM to complete a task is powerful precisely because of that access — which is exactly why it deserves the same offboarding discipline you’d apply to a departing employee, not an assumption that a subscription toggle is enough control on its own.
Where this actually helps a small business
Used well, agentic tools like this are less about replacing a role and more about clearing the backlog of useful-but-never-quite-urgent work — the competitor scan nobody has time for, the report that always gets pushed to next week, the first draft of a document that usually eats an afternoon. ApplyAI works with UK SMEs specifically on this kind of practical AI adoption: identifying where a tool like this genuinely saves time versus where it just moves the review burden somewhere else. The businesses getting real value out of agentic AI right now are the ones being deliberate about what they hand over, not the ones switching everything on at once.
The takeaway
ChatGPT Work is a real shift in what these tools can do unattended, and that makes it worth understanding now rather than after it’s already quietly running against your business data. Trial it on something low-risk first, confirm your data governance covers autonomous AI activity, and scale up only once you’ve seen what “finished” actually looks like from the other end.
