Front-office execution
We focus on the workflows that sit closest to revenue and customer experience.
About
We are building the AI workforce for service businesses.
General Employee exists because real businesses still run on phones, inboxes, calendars, portals, legacy software, and busy teams. AI should do the repetitive work across that stack.
What we believe
Work
AI should execute
Not just answer questions about the work.
Operators
Service teams first
The front office is where revenue, urgency, and customer experience collide.
Systems
Meet the stack as it is
Useful AI has to operate across existing tools, not demand a rip-and-replace.
General EmployeeLive workflow
Customer intent captured
Next step confirmed
Team handoff written
Mission
Give every service business an operations team that never drops the ball.
The most important work in a service business is often repetitive, urgent, and easy to miss: answer the call, collect the details, book the slot, follow up, update the system, and keep the customer informed.
Real-world software
Service teams use fragmented tools. The product has to adapt to them, not the other way around.
Human leverage
The goal is not to remove people from judgment. It is to remove repetitive execution from their day.
Operating Principles
The product is judged by completed work.
Outcome over novelty
A booked appointment is more valuable than an impressive demo that does not change the business.
Scope before scale
Start with one job, define the rules, prove the scorecard, then expand the employee's responsibility.
Respect the existing team
AI should give the team cleaner handoffs, fewer interruptions, and more time for customer-facing judgment.
Company
Built with operators, not for a fictional clean-room business.
The product direction comes from the messy places where work actually happens: phone calls, after-hours emergencies, missed estimates, unpaid invoices, disconnected calendars, and software that was never designed to talk to anything else.
Bring us the workflow that keeps slipping.
If a human can complete it in software with clear rules, General Employee should be able to help.