ChatGPT answers. An AI employee acts inside your systems, on a schedule, with approvals and a record of what it did.
Both are useful. The mistake is buying one and expecting the other, which is how teams end up paying for a chat window and still doing the work by hand.
Here is the honest comparison, including the cases where ChatGPT is clearly the better buy.
If the work fits in a chat window, ChatGPT wins on price by a mile. It is the best general thinking tool you can buy for $20 a month: drafting, analysis, explanation, code, decisions you have not made yet.
If the work lives in six systems and repeats every day, a chat window is the wrong shape. Someone has to open the thread, paste the context, run the steps and then do the actual updating. That is still a job, and it is still yours.
An AI employee is the second shape: a scoped role, real connectors, your rulebook, an approval queue and a log. You review outcomes instead of producing them.
Same underlying model technology, different layer of the stack.
| ChatGPT | AI employee | |
|---|---|---|
| What it is | A general assistant you prompt | A scoped role with a job description you approve |
| Who starts the work | You, every single time | A schedule, an event, or a person |
| Where the work happens | In the chat, plus connected apps where available | In your systems: helpdesk, CRM, store admin, inbox, documents |
| What it knows about your business | What you paste or connect in that thread | Your rulebook, policies and connected systems, continuously |
| Output | Text, analysis, code, images | Completed actions, plus a written log |
| Approvals | You copy and paste | Approval queue per action, per channel, per role |
| Audit trail | None beyond the conversation | Every read, change and approval, per action |
| Price | $20 to $30 per user per month | $99 to $949 per month per agent, unlimited seats |
| Best for | Thinking, drafting, research, analysis | Recurring operations across several systems |
An AI employee is not a bigger ChatGPT subscription. It is the layer that runs the work after the thinking is done.
Where the two meet: an agent can use a frontier model, and you can keep using ChatGPT for the thinking part.
Be honest about the shape of the work, not the demo you liked.
Most teams end up with both: a chat assistant for thinking, an agent for the recurring work.
Four differences that decide whether the work actually moves.
A written role, a rulebook and limits you approve, so behaviour does not depend on who wrote the prompt that day.
Native integrations, any system with an API, and browser automation for the portals that have neither.
Outbound actions wait for a person by default. Every read, change and approval is recorded.
On a schedule or an event, including at 03:00, without anyone remembering to open a tab.
Compare like with like: cost per completed task, not cost per seat.
| Option | What it costs | What you get |
|---|---|---|
| ChatGPT Plus, 5 seats | $100 a month | Five people thinking and drafting, with the work still done by hand afterwards. |
| ChatGPT Team, 5 seats | $125 to $150 a month | Shared workspace and admin controls. Same shape of work. |
| AI employee, entry tier | $99 a month | One agent, day-one self-onboarding, connectors included, unlimited internal seats. |
| AI employee, AI Go | $249 a month | Managed onboarding, 200K credits, all 50+ integrations. |
The honest version: if your team completes ten recurring tasks a week by hand, the agent pays for itself at the entry tier.
Credits are usage, not seats. Top-ups are $50 per 100K credits.
Keep ChatGPT. It is cheap and good at the part it is good at.
The split is simple: people think, the agent executes, people approve.
Keep ChatGPT for drafting and thinking. Connect the first system to the agent.
The agent drafts in review mode. You correct in plain language.
Switch on auto-send for the two or three intents you trust.
Add the second role. The chat assistant stays the thinking tool.
Including the ones that argue for ChatGPT.
You can, and for some teams it is enough. The difference is who drives. With ChatGPT a person opens the thread every time. An AI employee runs on a schedule or an event, keeps your rulebook and logs what it did.
The platform is model-agnostic and runs on frontier models. The model is not the product. The role, the connectors, the rulebook and the approvals are.
Yes, keep it. Most teams use a chat assistant for thinking and an agent for the recurring work. They are complements, not substitutes.
ChatGPT helps a person write the reply. An AI employee answers the ticket inside the helpdesk, applies your policy and escalates what it should.
A few ChatGPT seats plus $99 for one agent is still far below a part-time hire, and it covers two different kinds of work.
It is constrained to your sources and your systems. When confidence is low it stops and asks a person rather than guessing at a customer-facing action.
The entry tier is day one: a role template and the first connector. Managed onboarding takes two to four weeks.
You do. The agent reads what you connect and writes where you allow. We do not train on your data.
Chatbot, copilot, agent, employee: what the ladder actually means. Start here.
Where a reasoning assistant stops and a scoped agent starts. Read the comparison.
Loaded cost, ramp time and what a person still does better. Read the comparison.
Every connector, what it reaches and how. See integrations.
One monthly fee, hosting, AI usage and support included, and agents that add on as you grow. Every plan begins with a free assessment and a free first month - so you see it working before you commit.
No credit card required. We assess the work for free, then stand the platform up on your own systems. AI Go includes free onboarding, migration and setup. Enterprise (Dedicated) is fixed-price: we scope it after the free assessment and confirm the full number before you start. Your first month is free - continue only if you are happy with the results and can see a measurable impact on your revenue and your cost.
Unlimited properties, units and rooms
On every plan. Add doors, add rooms, add listings - your Brahma bill does not move.
One agent, one job, live in weeks. The smallest way to see the platform work on your own data.
A working platform with your first agents live, fast. Built for the small and growing business.
Heavier operations: more agents, priority delivery.
Your own instance, on your own domain or subdomain, with your governance - run by us, reviewed by your team.
All 50+ integrations are included on every plan. See every integration we connect - including the ones we reach through secure browser automation where no API exists.
Every plan includes hosting, AI usage, and support. AI usage is counted in credits and shown live per agent in your portal. One credit is a standard unit of work: a quick task runs 50-150 credits, a standard workflow across two or three systems 250-750, and a deep task such as a report or a document set 1,500-5,000. Unused credits roll over for as long as your plan is active, and you can top up at any time at $50 per 100K credits. Extra agents add on at $249 per agent per month. Every pre-built integration is included, with no per-connector fee; only a custom build is scoped separately. Sub-agents are the specialist workers each agent can call on to finish a job. You get the full number before we start.