Sarah Chen
Controller
The ERP for Humans + AI
EmployeeH gives humans and AI one system to work in, with shared customers, projects, finances, permissions and accountability.
Assign work. Set limits. Require approval. See what your entire workforce is doing.
One company. One system. One hybrid workforce.
Your business systems know how to manage people. Who they report to, what they can approve, what they are allowed to touch, what they did last Tuesday.
AI is now doing real work in your company — drafting, chasing, reconciling, answering. But it lives in prompts, chat windows, automations and point tools, none of which report to anyone.
So the work gets done, and nobody can say who did it, what it was allowed to do, or what it cost.
Questions your systems cannot answer
EmployeeH puts both workforces in one operating system — the same records, the same permissions, the same accountability.
Today
AI lives in tools, prompts and automations nobody owns.
With EmployeeH
Every worker, human or AI, has a role, an owner, responsibilities and a place in the company.
Today
What an agent may do is buried inside whatever tool it runs in.
With EmployeeH
The company decides what each AI worker may do, may not do, and when a person has to approve it.
Today
Records wait for someone to remember to update them.
With EmployeeH
Customers, projects and finances stay current as the work happens.
Ava has a title, a department, a manager, a cost centre and a budget. She has permissions, and limits on what she may do without a person. Everything she does is attributable to her.
Controller
Accounts Receivable Specialist
Reports to Sarah Chen
Delivery Lead
The limits are set by the company, in the system — not asked of the model and hoped for. Ava cannot talk her way past a threshold, because she is never the one deciding.
One overdue invoice, handled end to end — and the moment it needs a person, it gets one.
Ava
An invoice goes thirty days overdue.
Ava
Ava reads the customer, the invoice, the payment history and the open projects — the same records Sarah would.
Ava
She sends the follow-up Sarah already approved.
Customer
The customer asks to pay over three months.
Limit
That is above the limit Sarah set for Ava. Ava stops.
Sarah
The decision goes to Sarah, with the account, the history and what Ava recommends.
Sarah
Sarah adjusts the terms and approves.
EmployeeH
The invoice, the schedule, the customer record and the task list update together.
EmployeeH
Every step is on the record, against the worker who did it.
No module list. No implementation project. EmployeeH asks how your business actually works, proposes a workspace built around the answers, and sets it up once you approve it. Minutes, not a quarter.
Services and retainers · 12 people · bills hourly
Not set up
Physical products · 40 people · carries stock
Not set up
Same product, two companies, neither looking at a feature they do not need. Anything left out stays one click away for the day they do — when you start carrying stock, or hire your first employee.
Which is why bolting a chat window onto one does not work. The problem is not the interface.
Every screen waits for someone to open it, read it, decide and type. When part of your workforce does not use screens, that assumption becomes the bottleneck.
The work is being done. What is missing is a system that can see it, authorise it and hold it to account the way it does for everyone on payroll.
A deterministic business system underneath, where the ledger balances and permissions are real. An intelligent layer above it that can understand, recommend and act — inside limits the company sets.
One company. One system. One hybrid workforce.
EmployeeH is opening to a small number of companies first, so we can set each one up properly. Tell us where to reach you.
Being straight with you: adaptive setup and the workspace are working today. The AI workforce described above is what we are building next, and early customers shape it.