A team meeting in a small office
 
AI employee vs hiring

Hire, or delegate: the honest maths.

A hire brings judgement, relationships and accountability. An agent brings hours, consistency and a log. Neither replaces the other, and teams that pretend otherwise get burned in both directions.

This page is the comparison most vendors avoid: what a person actually costs, what the agent actually does, and where the line sits.

If the answer is hire, hire. If the work is repetitive and system-bound, an agent pays for itself in the first month.

The short answer

The line, in two sentences

Hire when the work needs judgement, relationships and accountability. Sales conversations, client trust, hard calls, anything where being wrong has a human cost.

Delegate to an agent when the work is repetitive, system-bound and measurable. Triage, chasing, reporting, data entry, checks, filings, follow-up.

Most teams do it in that order: agent first for the volume, then hire for the judgement the freed-up hours make possible.

Side by side

A hire against an agent

Same job family, very different shape.

A hireAn AI employee
Loaded annual costSalary x 1.25 to 1.4, plus tools and management time$1,188 to $2,988 a year
Salary referenceBLS median for administrative support roles was $48,310 in 2025, before tax and benefitsPlan price, published and fixed
Time to productiveFour to twelve weeks including hiringDay one on the entry tier, two to four weeks managed
Hours availableAbout 40 a week, minus leave, sickness and trainingContinuous, including nights and weekends
ConsistencyVaries with workload, mood and tenureSame rulebook every time, until you change it
JudgementReal. Handles ambiguity and reads a roomNarrow. Escalates when the case does not fit the rule
RelationshipsBuilds trust, which is often the whole pointNone. It does not manage a client
ScalingHire again, train againRaise the credit allowance, add a role
When it is wrongJudgement, learning, apology, repairStops, asks, and the log shows the path
Best forRelationships, judgement, accountabilityVolume, repetition, checks, chasing, reporting

Loaded cost is the number people forget: salary x 1.25 to 1.4 covers tax, benefits, equipment and software.

The comparison is not agent versus person. It is agent versus the unbillable hours your people currently absorb.

Which one

The decision, made simple

If you cannot write the job down as steps, do not give it to an agent yet.

A hire is the right choice when
  • The work needs judgement, negotiation or empathy
  • The relationship is the product
  • Volume is low and variability is high
  • You need someone accountable in a room
→
An AI employee is the right choice when
  • You can write the process as steps and exceptions
  • Volume is steady and the work repeats
  • The work lives in systems with logins and permissions
  • Mistakes are catchable with an approval step

If the process cannot be written down, that is the first job, and it is a human one.

The difference

What an agent genuinely cannot do

The limits matter more than the marketing.

Manage a relationship

It cannot read a room, hold a difficult conversation or rebuild trust after a mistake.

Be accountable

It has no professional standing. A named person still signs, advises and answers for the work.

Handle true ambiguity

Novel cases stop and escalate. That is by design, not a limitation to be patched away.

Care

Motivation, mentorship and culture are not deliverable by software, whatever the deck says.

The maths

Three ways to cover the same work

Pick the cheapest option that is actually competent at the job.

OptionWhat it costsWhat you get
Full-time hire (US, loaded)$60,000 to $68,000 a year40 hours a week, judgement included, four to twelve weeks to get there.
Part-time or freelance$18,000 to $30,000 a yearTen to fifteen hours a week, and it stops when they get busy.
AI employee, entry tier$1,188 a yearOne agent, day-one self-onboarding, connectors included, unlimited seats.
AI employee, AI Go$2,988 a yearManaged onboarding, 200K credits, all 50+ integrations, 2 to 4 week build.

The break-even is unflattering: one agent costs less than three weeks of a loaded junior salary.

Use the freed hours for the work only a person can do, then hire into that, not into the queue.

Credits are usage, not seats. Top-ups are $50 per 100K credits.

Getting started

How teams actually sequence this

Write the process first. It is the rulebook, and it is also the job description if you do hire.

1

Week one

Write the process down as steps, exceptions and approvals. This becomes the rulebook.

2

Week two

The agent runs it in draft mode while your team corrects it.

3

Week three

Routine steps go automatic, exceptions keep a human approver.

4

Month two

Decide on the hire with real numbers: which hours came back, and what they are now worth.

Questions

Hiring questions, answered directly

The ones a founder or partner actually asks.

Will this replace my team?

No. It removes the repetitive layer that burns people out. The judgement, relationship and accountability work stays with people, and usually grows.

What is the real loaded cost of a hire?

Multiply salary by 1.25 to 1.4 for tax, benefits, equipment and software, then add management time. A $48,000 salary is closer to $60,000 to $68,000.

How fast can an agent start?

Entry tier is day one with a role template and one connector. Managed onboarding takes two to four weeks across several systems.

What happens when it makes a mistake?

Outbound actions wait for approval by default. Thresholds and limits are per role, corrections are made in plain language, and the log shows exactly what happened.

Can it work outside office hours?

Yes. It runs on schedules and events, including overnight, which is where a lot of the backlog actually sits.

Does it scale with volume?

Yes, through the credit allowance rather than headcount. Peak months are a top-up, not a recruitment round.

Which roles suit it first?

Reporting, chasing, triage, data entry, checks, filing and follow-up. Anything you can write down as steps with a clear exception path.

If we hire later anyway, was this wasted?

No. The rulebook you write for the agent is the onboarding document for the hire, and the agent keeps doing the volume afterwards.

Keep reading

Where to go next

The AI employee model

Chatbot, copilot, agent, employee: what the ladder actually means. Start here.

AI employee vs ChatGPT

Assistant you prompt, against a role that runs. Read the comparison.

AI employee vs Claude

Where a reasoning assistant stops and a scoped agent starts. Read the comparison.

For professional services

Intake, document chase, notes and billing for billable firms. See the page.

Plans

Priced around the outcome, not the hour

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.

Every plan starts here

Free assessment. Free setup on AI Go. Your first month free.

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.

Free assessmentFree first callFree setup on AI GoFirst month freeNo credit card required
Our moat

Unlimited properties, units and rooms

On every plan. Add doors, add rooms, add listings - your Brahma bill does not move.

Starter

AI Go

Free 1 month
then $249/month

One agent, one job, live in weeks. The smallest way to see the platform work on your own data.

  • 1 agent included
  • 2 sub-agents included
  • 200K AI credits per month
  • All 50+ integrations included
  • Your branded workspace on the portal
  • Rulebook auto-approvals, with a human queue for exceptions
  • Monthly strategy review
  • 2-week deployment and onboarding
Plus

AI Foundation Plus

$949/month

Heavier operations: more agents, priority delivery.

  • 3 agents included
  • 6 sub-agents included
  • 2M AI credits per month
  • All 50+ integrations included
  • Priority 2-week deployment
  • Priority support
  • Fortnightly strategy review
Enterprise

Dedicated

Custom

Your own instance, on your own domain or subdomain, with your governance - run by us, reviewed by your team.

  • Dedicated instance on your own domain or subdomain
  • Custom sub-agents
  • Custom integrations, built and maintained for you
  • Your choice of AI models and data regions
  • 99.9% uptime SLA and dedicated support
  • Custom governance, SSO, and audit exports
  • Strategy review on demand

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.

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