AI employees
Hire the employee you can't find.
Every business has one job nobody wants and nobody can hire for. Chasing invoices. Filing documents. Building the same report every Monday. I install an AI employee that owns that role, and I manage it so it actually gets used.
$2,500 install. $750 a month, managed. Your $999 assessment comes off the install.
A role, on staff
You are hiring a role. The software is the small part.
A tool waits for you to figure it out. An employee owns work. Every AI employee I install comes with all six of these.
01
A written job description
One role, defined. What it owns, what it never touches, and what done looks like.
02
A Company Brain
It knows your services, your pricing, your people, and how you talk. That is why it does not sound like a chatbot.
03
Scoped tool access
Only the tools the role needs. Nothing else is reachable.
04
Approval gates
Anything consequential waits for a human yes. Sending, spending, deleting: gated.
05
A manager
Me. Monitoring, repairs, and a monthly workflow review. When it breaks, that is my problem.
06
A weekly value ledger
Every Friday: what it did, the hours returned, and what that time is worth, in numbers you agreed to.
Starting roles
What one request looks like.
Six roles I hire for most. These are scenarios so you can see the shape. The role we actually hire for comes out of your assessment.
01
Admin desk
One request: find the inspector's email, pull the invoice for that job, make a new job folder, file the PDF, put the numbers in the tracking sheet, send back the link. Minutes later it is done and you never opened your inbox.
02
Executive assistant
Before you are up: your calendar for the day, the three emails that actually need you, and the follow-up that was about to slip, drafted and waiting on your yes.
03
Research and prospecting
Fifty target companies checked overnight. The twelve worth your time, scored, each with a first-touch draft in your voice. You approve. It sends nothing on its own.
04
Recurring reports
The Monday scoreboard builds itself Sunday night. Sales, jobs, cash position, pulled from the tools you already use, on one page you actually read.
05
File and document management
Every contract, COI, and permit renamed, filed, and findable. Ask for the signed vendor agreement from last spring and get the file, plus the clause you needed.
06
Content support
Your last client call becomes three posts, a follow-up email, and an FAQ answer. Drafted in your voice, queued for approval, never published without you.
The first time it hands back a finished piece of work you hate doing, you will ask the only question that matters: what else can it do?
Proof
Meet my own team.
I do not sell anything I do not run. This is the staff working in my own business today.
The Radar
Research
Scans roughly 50 companies' feeds every weekday, scores what matters against my criteria, drafts the outreach, and lands a digest on my phone by 8am.
The Producer
Content
Transcribes raw clips, drafts the hooks, renders finished captioned reels. I approve every hook myself. It is the pipeline behind 6M+ views in six months.
The Chief of Staff
Operations
Builds my morning brief at 7:45 every weekday and runs my Telegram. I text it, it delegates to the rest of the team and reports back.
The Bookkeeper
Finance
Takes a folder of bank and card statements and returns a full money report: categories, subscriptions, cancel candidates, flags. Nothing leaves my machine.
My Company Brain
Knowledge
The layer the rest run on: what I sell, who I know, how my projects actually work. It is why their output sounds like me.
The Bottleneck Agent lives on this site. It found the bottleneck in someone's business while you were reading this page.
Talk to itThe knowledge layer
The Company Brain.
Most AI fails in a business for one reason: it knows nothing about the business. The Company Brain fixes that. During the assessment I sit with your team and map how the work actually happens. That becomes a structured knowledge base: your services, your pricing, your processes, your people, the way you talk to customers.
It lives in a GitHub repository you own. You can read every line it knows. Every AI employee you hire runs on it, which is why the second hire trains faster than the first.
The brain is never the product on its own. A knowledge base sitting on broken processes changes nothing. It is built from the assessment and shipped inside the install.
The managed layer
A working agent does not create adoption. Management does.
Most AI projects die after handoff. The build works, the team never touches it. So I stay on as the manager, and this is what that looks like every month.
01
A three-member group chat
You, the employee, and me, in one channel. Telegram by default. Or Buzz, Block's new workspace built for humans and agents working together, if your team lives in a workspace.
02
Observable coaching
You watch how I talk to it. I watch what you ask it, catch the unclear instructions, and build the next workflow from what you actually need.
03
Monitoring and repairs
I watch the system, catch the failures, and fix them. A monthly review keeps the role growing instead of going stale.
04
A shared source of truth
Important output lands in spreadsheets and documents you can open, check, and edit. Research never disappears into a chat history.
Every Friday, the ledger.
What it did, the hours returned, and what that time is worth, priced at baselines you agreed to. If it does not know how long a task normally takes, it asks you. Estimates you correct, never numbers invented to look good.
Weekly value ledger · illustrative example
| Chased 14 unpaid invoices | 3.5 hrs | $263 |
| Filed 41 job documents | 2 hrs | $150 |
| Built the Monday scoreboard | 1.5 hrs | $113 |
| Drafted 9 follow-up replies | 2 hrs | $150 |
| One week back | 9 hrs | $676 |
Illustrative week at $75 an hour. Your ledger runs on your numbers.
The part I refuse to wing
Securing AI agents is my day job.
I am a Solutions Engineer at BeyondTrust. Securing the access of AI agents inside enterprises is what I do all week. Your AI employee gets the same treatment: scoped access to only what its role needs, approval gates before anything consequential, and a human sign-off where it counts. An employee you cannot trust with the keys is not an employee.
How it starts
Assessment first. Then the hire.
01
Find the role.
Under $2M, the $999 assessment. Doing $2M to $50M, the Current State Assessment. Either way, we find the function eating the most hours.
02
Hire your first AI employee.
$2,500 install, $750 a month managed, assessment credited. One role, fully owned, proven on the ledger before we ever talk about a second.
03
Build the full team.
When you are asking what else it can do, that is Agent HQ, from $15,000: the full team plus the full Company Brain.
Expand the role before the headcount. The second hire comes when the first one has proven itself.
Straight answers.
- What can it actually access?
- Only what its role needs. Access is scoped tool by tool, and anything consequential, sending money, deleting records, contacting a customer, waits for human approval. Defining those boundaries is the first thing we do.
- What if my team doesn't use it?
- Then I have failed, and fixing that is exactly what the monthly fee buys. Most AI projects die after handoff because nobody manages adoption. Your team watches the employee work in the shared channel from day one, and if usage drops, I treat that as a bug in the workflow, and I fix the workflow.
- Which role should I start with?
- The one you dread. For most owners that is the admin desk or the executive assistant work. The assessment answers this precisely: we find the function eating the most hours and hire for that one first.
- What tools does it work with?
- Email, calendars, drives, spreadsheets, accounting systems, CRMs, and most software your business already runs. If it has an export or an API, it is probably reachable. We confirm the exact list during the assessment.
- Is my data safe?
- Securing AI agents is my day job at BeyondTrust. Your employee gets scoped access, approval gates, and a Company Brain that lives in a repository you own. You can see everything it knows and everything it did.
- What does it cost?
- $2,500 to install, $750 a month managed. Your $999 assessment is credited toward the install. When one employee proves itself and you want the full team, that is Agent HQ, from $15,000.
One role. Off your plate. Managed.
Three minutes on your phone. It finds the bottleneck, I find the hire.