An agency team reviewing client work
 
AI employee for agencies

An AI employee for the work your agency cannot bill.

Billable hours are rarely the problem. The margin leaks in the layer around them: reports rebuilt every Friday, campaign checks nobody has time for, proposals that go cold, timesheets chased on the last day of the month.

An AI employee takes that layer. It runs on the tools you already use, follows the rulebook you write, and shows you every action it took. Your account team reviews and approves instead of assembling.

Start on day one: $99 a month for one agent, integrations included, unlimited seats for your team.

Where the margin goes

Where agency margin actually leaks

It is rarely the big accounts that hurt. It is the recurring admin every account manager absorbs, then absorbs again next month.

Today
  • Friday reports rebuilt by hand, client by client
  • Campaign pacing checked when someone remembers
  • Proposals chased between other work
  • Timesheets reconstructed at month end
→
With an AI employee
  • Weekly report drafted from live platform data, waiting for review
  • Budget, pacing and tracking checked every morning, flagged before spend runs
  • Every proposal followed up on a schedule and logged in the CRM
  • Missing timesheets nudged daily, hours land in the invoice

Same people, same clients. The assembly work moves to the agent, the judgement stays with your team.

The work

The eight jobs agencies hand over first

Each one is scoped as a role with a job description you approve, not a generalist that does everything badly.

Client reporting

Monthly and weekly reports assembled from GA4, Google Ads, Meta and your CRM, in your own template, as a draft for review.

Campaign QA and pacing

Daily checks on spend, pacing, failed payments and creative fatigue. Flags land in Slack before the client notices.

New business follow-up

Inbound leads answered in minutes, proposals chased on a schedule, every touch logged against the deal.

Meeting notes and actions

Transcripts turned into decisions, owners and dates, pushed into Asana, ClickUp or Notion with the client and project tagged.

Timesheets and billing chase

Missing entries chased daily, retainer hours tracked against the cap, invoices queued for approval when the month closes.

Content repurposing

One long piece becomes the social set, the newsletter and the ad variants, with your brand rules applied and sources attached.

Competitive monitoring

Competitor ads, landing pages, pricing and content changes tracked weekly, summarised in writing rather than left in a dashboard.

Client onboarding

The setup checklist run end to end: folders, trackers, access requests, kickoff pack, first report date booked.

A day inside the agency

A Tuesday in a twelve-person agency

One agent, one Slack channel, one approvals queue.

07:00

Morning digest

Spend across every client account, overnight leads, anything broken. One message, sorted by client, before the stand-up.

09:30

Checks and flags

Pacing, tracking and creative fatigue reviewed. Two issues found, both posted with the numbers and a proposed fix.

11:00

Reports

Three client reports drafted from live data. The account manager edits two sentences and approves.

14:00

Follow-ups

Nine leads answered, four proposals chased, one meeting booked into the right calendar.

18:00

Close of day

Missing timesheets nudged, today's call actions filed, tomorrow's queue pre-loaded.

The line

What the agent does not touch

The boundary is deliberate, and it is adjustable one permission at a time.

WorkWho does it
Strategy, positioning and the pitchYour team. The agent supplies the evidence, not the call.
Client relationship and hard conversationsYour team, always.
Creative judgement and final copyYour team. The agent drafts and checks, it does not sign off.
Pricing, scope and negotiationYour team.
Sending anything to a clientApproval queue by default. Widen it per client and per channel as trust builds.

Every action is logged with what it read, what it changed and who approved it.

Nothing leaves the business without a named approver until you change the rulebook.

The maths

What an AI employee costs against a coordinator

Compare it with the role it actually replaces, not with a tool subscription.

OptionAnnual costWhat it covers
Account coordinator (US, loaded)$55,000 - $70,000Salary, tax, benefits and tools. The BLS median for administrative support roles was $48,310 in 2025 before agency premiums.
Freelance ops support, 10 hrs a week$18,000 - $26,000At $35-50 an hour, and it stops exactly when they get busy.
AI employee, entry tier$1,188 a year ($99/mo)One agent, day-one self-onboarding, connectors included, unlimited seats.
AI employee, AI Go$2,988 a year ($249/mo)One agent, managed onboarding, 200K credits, all 50+ integrations.

Credits are usage, not seats. Your whole team can work through the same agent.

One agent can serve several clients. Where a client needs an isolated workspace, that is a second agent.

Busy month past the allowance? Top-ups are $50 per 100K credits.

The stack

Built for the tools agencies already run

Connect once. The agent works inside your tools, not in another dashboard nobody opens.

SlackGmailOutlookNotionAsanaClickUpTrelloMondayHubSpotPipedriveGoogle AdsMeta AdsLinkedInGA4Search ConsoleHarvestTogglXeroQuickBooksStripeGoogle DriveDropboxFigmaAirtableZapierMake

More than 50 pre-built integrations, any system with an API, and browser automation for the portals that have neither. The full list is on the integration catalogue.

Has an API

A native connector or a generic REST or OAuth2 connection, using only the scopes you grant.

No API, still needed

An isolated browser session with credentials held in a vault the agent never reads. Every action lands in the log.

Something custom

Enterprise builds and maintains the connector for you, and keeps it working.

Isolation

One client, or fifteen

Agencies need separation more than they need scale, so separation is the default.

Per-client agent

Separate workspace, separate connector credentials, separate rulebook. Nothing crosses between clients.

Shared service agent

One agent for the agency itself: new business, timesheets, hiring, internal reporting.

White-label for your clients

Run it under your own brand for your clients. Terms depend on volume and support, so talk to us.

Getting started

Four weeks from first call to trusted

Most agencies start with reporting or follow-up, because both are visible inside a week.

1

Day one

Connect the first system, pick a role template, write the rulebook. The entry tier is self-onboarding.

2

Week one

The agent runs in draft mode. You approve everything and correct it in plain language.

3

Weeks two to four

Managed onboarding: we tune the role, the checks and the escalation rules with your team.

4

Month two

Widen permissions where the log looks clean, then add the next role.

Questions

Agency questions, answered directly

The ones that come up on every call.

Will it email my clients without approval?

No. Outbound actions sit in an approval queue until you widen the rulebook. You can allow specific senders, channels or report types per client, and every send is logged.

Can it work across several clients without mixing data?

Yes, with isolation. A client that needs separation gets its own agent, its own credentials and its own rulebook. Nothing is shared between workspaces.

Does it work with Asana, HubSpot and Google Ads?

All three are pre-built. The catalogue covers more than 50 connectors, any system with an API can be connected, and browser automation covers portals with no API.

What does it cost per client?

Nothing extra on the agent itself. You pay per agent and per credit allowance. A client that needs an isolated workspace is a second agent.

Will it replace account managers?

No. It removes the assembly work around the job: reports, checks, chasing and logging. Client relationships and judgement stay with people.

How long does setup take?

The entry tier is day one: a role template and the first connector. Managed onboarding takes two to four weeks for a multi-system stack.

Can we white-label it for our own clients?

Yes, we do this with agencies regularly. Terms depend on volume, support and who owns the client relationship.

What if a client portal has no API?

The agent uses an isolated browser session with credentials in a vault. It sees what you allow, acts only within granted permissions, and logs every action.

Who owns the data?

You do. The agent reads what you connect and writes where you permit. We do not train on client data.

What happens when it is unsure?

It stops and asks. Low-confidence work goes to a person with the context attached, rather than guessing at a client-facing action.

Keep reading

Where to go next

The AI employee model

How the ladder from chatbot to employee actually works. Start here.

For ecommerce teams

Support, catalogue and order ops run by an agent. AI for ecommerce.

For professional services

Intake, engagement admin and billing for billable firms. AI for professional services.

The integration catalogue

Every connector, what it reaches and how. See integrations.

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.

Ready to Build an AI-Powered Organization?

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