Most AI employees are software you have to operate. You connect the tools, write the rules, watch the runs, and fix it when it breaks. That is still a job, and it is still yours.
Brahma is different. The agent is built around your work, runs on your own systems, keeps your rules, and shows you what it did. You approve what leaves the business.
Start on day one: self-onboarding, pre-built connectors, your rulebook. From $99 a month for one agent, 40K credits included, unlimited seats for your team.
The words are used interchangeably in this market, including by vendors who should know better. The difference is not intelligence. It is scope, memory, and who is accountable when the work does not get done.
You ask, it answers. No memory of last week, no access to your systems, no responsibility for the outcome. Fine for FAQs. It does not clear an inbox.
It sits inside one tool and speeds up your work inside that tool. You still start every task. Suggesting a reply is not sending it, and it never chases the invoice.
Handed one goal, it works out the steps itself and stops when the goal is done. The next goal is somebody else's problem.
It owns an ongoing role. Work arrives from your systems rather than a prompt: an email, an enquiry, a lead going quiet, a Tuesday deadline. It keeps context between jobs and holds a queue of what it did and what needs your approval.
Four things break an AI employee in the first ninety days. None of them is the model.
This is the part of the market nobody prices. A licence is cheap. Ownership is the product.
Self-onboarding is not a cheaper version of the same thing. It is a different promise: you get value on day one without waiting for us, and you call us when you want the role built properly.
The entry tier is deliberately self-serve. Pick the closest role, connect one system through a pre-built connector, set your approval rules, and the agent is working the same day. No delivery queue.
AI Go and above include a free assessment. We map the role, build connectors against your systems, and write the rulebook with your team. First agents live in 2 to 4 weeks.
Isolated tenant, least-privilege access, audit log, human approval queue. We patch it, monitor it, and keep the models current.
What ran, what it saved, what it got wrong, what changes next. Usage is metered in credits and visible per agent, per month.
One AI employee is not a generalist that does everything badly. It is scoped to a role with a job description you approve, then widened as it earns trust.
Every enquiry answered in your voice, every unanswered thread chased, every reply logged against the right record. Your team reviews drafts instead of reading a full inbox.
Tier-one questions answered from your own documentation, refunds and requests routed by your rules, escalations handed to a person with the context attached.
Leads researched and qualified, the CRM updated without anyone typing, quotes and proposals drafted, dormant deals reopened on a schedule.
Invoices chased in the right tone at the right interval, payment status reconciled against the ledger, anything odd flagged before month end.
The numbers assembled from live systems into the report your team actually reads, delivered on the same day every week.
Documents processed, data moved between systems that were never meant to meet, checklists run and closed, exceptions pushed to whoever can decide.
One guest request, five agents, handled end to end. Work that matches the rules you set goes out on its own - anything outside them stops and waits for your sign-off. Below that, open the real Brahma workspace the way a client does.
Outside the rulebook? The run stops there and waits for your approval before anything leaves the business.
Illustration of a single agent run. The live workspace opens below.
A 48-room boutique hotel running on Brahma: guest comms, dynamic pricing, housekeeping tickets, and nightly reporting. The real platform with real connectors - not a mockup.
Watch the Live DemoOpens a live workspace. No signup.A property manager running on Brahma: tenant communications, rent reminders, maintenance tickets, and owner reports - agents that keep the operation moving.
Watch the Live DemoOpens a live workspace. No signup.A short-term rental manager running on Brahma: guest comms across channels, turnover coordination, pricing moves, and owner reports - one triage queue over the tools they already use.
Watch the Live DemoOpens a live workspace. No signup.Book a Call Map your operation to agents in one call.
The comparison that matters is not our price against another vendor's price. It is the full cost of the work getting done, including the parts nobody puts on a pricing page.
| An AI employee on Brahma | A new hire | Doing it yourself | |
|---|---|---|---|
| Monthly cost | From $99 self-onboarding, $249 managed per agent | About $5,600 loaded | Your own hours, unbilled |
| Time to productive | Day one, or 2 to 4 weeks managed | 6 to 12 weeks | Immediate, then constant |
| Coverage | 24/7, no leave, no turnover | Office hours, holidays, notice periods | Whenever you get to it |
| When it is wrong | Logged, escalated, fixed in the next cycle | Retrained, sometimes quietly | Nobody notices |
| Who runs it | We run the platform, you approve the work | A manager | You |
| What you own | The workflows and the data | Nothing | Everything, and the risk |
| Scales by | Adding an agent | Recruiting | Not scaling |
The human side. A secretary or administrative assistant earns a median $48,310 a year in the US, which is roughly $68,000 fully loaded with benefits, or about $5,600 a month. That is before recruitment, equipment, and the weeks it takes someone to become useful. Source: US Bureau of Labor Statistics, 2025.
Our side. From $99 a month for one agent, or $249 for the managed plans with assessment, onboarding and migration included. Hosting and AI usage are in the price, seats are never metered, and the first month is free. See what each plan includes.
Where a hire wins. Judgement calls you have not written down, negotiation, relationships, and anything that depends on reading a room. If the role is mostly that, do not automate it. If it is mostly the same work with the same rules, the arithmetic above is not close. The same comparison in a property or hotel operation is worked through on AI property management.
No six-month programme and no internal AI team. The entry tier is self-onboarding by design; the managed plans are there for when the role matters enough to hand it to us.
Choose the closest pre-built role - inbox and follow-up, support, pipeline, finance, reporting or admin. The agent starts with a job description you can edit in plain language.
Email, calendar, CRM or helpdesk through a pre-built connector and official OAuth. No API? Send the credentials and the agent works through controlled browser automation.
Decide what it can send on its own and what waits for you. Everything irreversible starts in the approval queue, so nothing leaves without your sign-off.
It starts on real work immediately. Widening scope is a settings change, not a new project.
On AI Go and above we map the role, build the connectors and write the rulebook with you. First agents live in 2 to 4 weeks, with the first month free.
Every vendor in this category is one bad quarter away from overclaiming. Here is the honest list.
If your team handles something by feel, the employee will either ask or get it wrong. The fix is a rule, and writing rules is part of the setup.
Automation multiplies a process. If the process is a mess, the mess gets faster. Self-onboarding will not hide that, and neither will we.
Negotiation, senior sales, and anything that turns on trust built over years stays with a person. We will not pretend otherwise.
You get an approval queue, a usage view and an activity log. If you want something that runs unseen and unreviewed, we are the wrong vendor.
An employee with access to your systems needs more control than a chatbot. This is the baseline on every plan, including the entry tier.
Connect only what the role needs. Anything irreversible waits for a person, and everything is logged.
An email, a payment chase, a published post, a change above threshold: each waits for a person. Routine work inside your rulebook runs on its own.
Every connector gets the minimum scope the job needs. Revoke one without touching the rest.
Your workspace, data and agents are separated from every other client. Nothing is shared between tenants.
Every run, action, approval and model call is logged and exportable whenever you want it.
We connect to your systems and hold only the working context the agent needs. Your data does not train models.
A data processing agreement on every engagement, and you choose where the workspace runs.
Email, calendar, CRM, accounting, helpdesk, e-commerce, property management and databases. The common ones are pre-built. Anything with an API is a short build; where there is no API we connect through controlled browser automation with your approval.
On the entry tier you self-serve the pre-built connectors. On the managed plans we build the rest for you, including systems with no API.
One monthly fee per agent, with hosting, AI usage and support included. Every plan begins with a free month, and the first month is free even on self-onboarding.
One agent, one job, 40K credits, one connector, and guided self-setup. You start on day one. There is no migration and no custom workflow build at this tier - if you need either, take AI Go and we deliver it for you.
Unlimited seats for your team
On every plan. Add people, not licences - your Brahma bill does not move when your team grows.
One agent, one job, live in weeks, with migration and onboarding done for you.
A working platform with your first agents live, fast.
Heavier operations: more connectors, more agents, priority delivery.
Your own instance, on your own domain or subdomain, with your governance - run by us, reviewed by your team.
Every plan includes hosting, AI usage and support. Each step up gives you more credits at a lower cost per credit: 40K on Solo, 200K on AI Go, 500K on AI Foundation, 2M on AI Foundation Plus. Credits are shown live per agent in your portal, and 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. Top-ups are $50 per 100K credits when you need a spike, and extra agents add on at $249 per agent per month. No credit card to start.
Book a Call Compare all plans on Brahma
Free assessment, first month free, no credit card. One call to size the role, or start on Solo yourself today.
Software that owns an ongoing role rather than answering a prompt. Work arrives from your systems, it keeps context between jobs, and it produces finished work - a sent reply, an updated record, a closed task - with a person approving anything irreversible.
Those help you do the work. This does the work. It has its own access to your systems, its own memory of your rules, and a queue of completed work waiting for your approval instead of a blank prompt box.
An agent completes one goal and stops. An employee owns a role: it starts work when things happen, keeps context, and is measured on the role rather than the task.
We run the platform on every plan: hosting, monitoring, model updates, security and the audit trail. What differs is the build. On Solo you set the agent up yourself from pre-built connectors and role templates. On AI Go and above we map the role, build the connectors and write the rulebook with you.
On Solo you self-onboard and can be working the same day: pick a role, connect one system, set your approval rules. On AI Go and above, the free assessment and build typically put the first agents live in 2 to 4 weeks.
From $99 a month for one agent with 40K credits, or $249 for the managed plans with assessment, onboarding and migration included. A secretary or administrative assistant earns a median $48,310 a year in the US, about $68,000 fully loaded, or roughly $5,600 a month. The comparison holds for repeatable, rule-based work, which is most of what a junior role does.
It is logged, it goes to a person, and the rule changes in the next cycle. Anything irreversible waits for approval before it happens, so the failure mode is a bad draft, not a bad send.
Credits are the AI usage unit, shown live per agent in your portal. 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. Top up at $50 per 100K credits at any time. Moving up a plan gives you more credits at a lower cost per credit and adds agents, sub-agents and connectors, so a permanent increase belongs on a bigger plan. Unused credits roll over for as long as your plan is active.
AI Go includes 200K credits a month: roughly 1,300-4,000 quick tasks, or 270-800 standard workflows across several systems, or 40-130 deep reports. Most operations use a mix and land well inside it. AI Foundation (500K) is two and a half times that allowance and AI Foundation Plus (2M) is ten times.
Isolated tenant, least-privilege OAuth scopes, full audit log, a DPA as standard, and no training on your data. You can export or delete tenant data at any time.
Yes, and seats are not metered. Unlimited seats on every plan, including Solo. Work is metered in credits, not by how many people talk to it.
Email, calendar, CRM, accounting, helpdesk, e-commerce, property management and databases by API. The common ones are pre-built for self-onboarding. If a system has an API or a login it can be connected, and where there is no API we use controlled browser automation with your approval.
The assessment is free on the managed plans, and Solo costs one month. If the role is judgement, negotiation or undocumented chaos, we will say so rather than let you keep paying.
The AI operations platform every AI employee runs on, plans and all. See the platform.
Roles, rulebooks, connectors and approvals, the mechanics under the page. How agents work.
Agents running bookings, guest comms, housekeeping and reporting. AI property management.
What this category costs, and how the software it replaces is priced. Browse resources.