How this is different from ChatGPT

If you’ve used ChatGPT, Chat will feel instantly familiar. You type a question, you get an answer, you keep the conversation going. The composer, the streaming replies, the ability to follow up — it all works the way you’d expect.

The differences aren’t about the basics. They’re about everything around the conversation: where your words go, what the assistant is allowed to do, and whether you can trust the answer it gives you. A consumer chatbot is built for one person chatting on the open internet. Chat is built for you doing your job, inside your company, with your company’s information.

This page explains those differences — and why each one is there to protect you, not to get in your way.

The short version

	A consumer chatbot	SUPERWISE Chat
Who it’s for	Anyone, anywhere	You and your colleagues
What it knows	The public internet	Your approved company knowledge, plus general knowledge
Where your words go	Into a shared consumer service	Into your company’s private workspace
Who sees your chats	Governed by a consumer privacy policy	Only you, unless you choose to share
Whether you can trust an answer	You have to take its word for it	Answers cite their sources so you can check
What it won’t do	Few guardrails, inconsistent	Consistent, company-set guardrails you can understand
Working with colleagues	One person, one window	Share a chat, start a channel, work alongside teammates in real time

Everything below is just these rows, explained.

One assistant your company stands behind

A consumer chatbot is a single product that millions of strangers share. It’s tuned for the average of everyone — which means it’s tuned for no one in particular, and certainly not for your company.

Chat is different: your company sets up the assistant (or assistants) you talk to. An assistant is a saved configuration — its instructions, its tone, and the specific knowledge it’s allowed to draw on. Your company can stand up a general-purpose assistant for everyday questions, and specialized ones for things like HR policy, internal engineering, or customer support, each pointed at the right information.

Why this matters to you:

You’re not starting from scratch every time. The assistant already knows the context it’s supposed to work in, so you don’t have to paste in background or explain who you are.
Answers are consistent across your team. When a colleague asks the same question, they get an answer grounded in the same approved knowledge — not a different improvisation.
It’s accountable. Because the assistant is a deliberate, named configuration your company maintains, there’s a clear owner for how it behaves. With a consumer tool, the behavior is whatever the vendor shipped that week.

Think of it as the difference between asking a random person on the street and asking a trained colleague who was hired for your team.

Your words stay in your company’s workspace

This is the difference people care about most, and it’s the simplest to state.

When you type into a consumer chatbot, you’re handing your words to a public consumer service governed by a public privacy policy. That’s fine for asking how to roast a chicken. It’s a real problem for “summarize this contract” or “draft the announcement about the reorg.”

Chat is your company’s private workspace. Your conversations, your uploaded files, and the knowledge your company has loaded all live inside that workspace. By default:

Your conversations are yours. No colleague — not even an administrator — reads your private chats just because they can. You decide what to share.
Sharing is a deliberate act. A conversation becomes visible to a teammate only when you share it, invite them, or post it in a channel. Until then, it’s private to you.
Your company controls the boundary. Your information stays within your organization’s own space. It isn’t mixed in with other companies’ data, and it isn’t repurposed as a public product.

You can read the specifics on the Your privacy page. The headline: the default is private, and you stay in control of every step outward from there.

It answers from approved knowledge — and shows its work

A consumer chatbot answers from a vast, general training set. It’s impressively broad, but it has two well-known weaknesses for work: it doesn’t know your company’s internal facts, and when it doesn’t know something, it can confidently make something up.

Chat closes both gaps.

It can draw on your company’s approved knowledge. Your organization can load documents, policies, and reference material into knowledge collections that the assistant consults when it answers. Ask about your travel policy and you get your travel policy — not a plausible-sounding average of every company’s.

And it shows its sources. When an answer is grounded in your company’s knowledge, Chat marks the answer with numbered citations. Click one and you see exactly which document it came from — the title, the relevant snippet, and a link to the source.

Picture a research answer in front of you. Instead of a wall of confident prose you have to take on faith, key claims carry small numbered markers — [1], [2] — and a Sources Used card sits below the reply. Clicking [1] jumps you to the exact passage the assistant relied on. You’re never asked to simply trust it; you’re invited to check it.

When there’s nothing to cite, it tells you. If you ask something your company’s knowledge doesn’t cover, Chat says so — you’ll see a note that it’s answering from general knowledge rather than your documents. That honesty is the point: you always know whether an answer is grounded in your sources or is a best general effort.

This is the difference between an answer you can act on and an answer you have to double-check elsewhere. Citations turn the assistant from a confident stranger into a colleague who hands you the receipts.

Guardrails you can understand, not a black box

Every AI assistant has limits on what it will do. The difference is whether those limits are arbitrary and unexplained, or deliberate and transparent.

Consumer chatbots apply broad, one-size-fits-all rules, and when they decline, they often do it with a vague refusal that leaves you guessing.

Chat’s guardrails are set by your company and applied consistently. When the assistant can’t help with a particular request, it doesn’t just stop — it explains what happened and what you can do next. The goal is never to stonewall you; it’s to keep everyone working safely within the lines your organization has drawn.

If you ever run into one of these moments, the Why it said no page walks through what the message means and how to rephrase or escalate.

It works the way your team works

A consumer chatbot is built around a single person in a single window. Anything you want a colleague to see, you copy and paste somewhere else — into email, a chat app, a doc. The conversation with the AI and the conversation with your team live in two different places.

Chat keeps them in one place. The same workspace that holds your private chats also lets you bring people in when the work calls for it:

Share a conversation with specific teammates, and you’ll see each other’s messages stream in live — each one attributed to the person who sent it, so it’s always clear who said what.
Start a channel for an ongoing topic, with threads and pinned messages, where the assistant is a participant your whole group can call on.
Open a direct message with one or more colleagues and keep the AI right there in the thread, ready to help.

The point isn’t more features for their own sake — it’s that the help you get from the assistant and the work you do with your team don’t have to live apart. You’re not the only one who can benefit from a good answer.

You choose how hard it thinks

Not every question deserves the same effort. “What’s the capital of France?” and “Compare these three vendor contracts and flag the risks” are not the same kind of ask, and treating them the same wastes either your time or the answer’s depth.

Before you send a message, Chat lets you pick how much work to put behind it:

Interactive — a fast, direct answer for quick questions.
Thinking (the default) — multi-step reasoning for most everyday work.
Research — deeper search and synthesis with citations, for when the answer needs to be backed up.

It’s a single choice in the composer, and you can change it per message. A consumer chatbot gives you one speed and hopes it fits; Chat lets you match the effort to the question.

Trust is the feature, not the friction

It’s tempting to read all of this as “Chat has more rules than ChatGPT.” That’s the wrong frame. Each of these differences exists to remove a worry you’d otherwise carry on your own:

The single approved assistant removes the worry of “is this thing even set up for my work?” — your company already did that.
The private workspace removes the worry of “where did my words just go?” — they stayed with your company.
The citations remove the worry of “can I actually rely on this answer?” — you can see for yourself.
The guardrails remove the worry of “am I about to do something I shouldn’t?” — the safe path is the default one.

With a consumer tool, you have to supply all of that judgment yourself, every single time. Chat builds it in, so you can focus on the actual work.

That’s the real headline: Chat is as easy as the chatbot you already know, and you can trust it with the work you couldn’t trust to a consumer tool.

Where to go next

Is it safe to use at work? — the plain-language reassurance, in one place.
The surfaces — a tour of chats, channels, knowledge, and the other places work happens in Chat.
Your privacy — exactly who can and can’t see your conversations.
Why it said no — what a guardrail message means and what to do next.