AI employees · operating model · human control

Run a company made of agents

We are not an agent framework. We do not tell you how to build agents. We help you design and set up the way to run a company made of them: roles, goals, tickets, budgets, approvals and a human manager who stays in control.

1 human manager with final control
10 agentic employees in a full operating team
170 sub-assistants for specialised work
400 tools available through controlled access
The missing layer

Agents do not fail only because of prompts. They fail because nobody designed the company around them.

The next step is not more random automation. It is an operating model: who owns what, when agents wake up, which tools they can touch, how much they can spend, and where a human must approve the work.

01

You have agents, but no company around them

A few agents can answer, write or click through tools. That is useful. It is not yet a business system. Work still needs owners, budgets, reporting lines and a way to stop bad decisions.

02

The work disappears into tabs

One task starts in Slack, another in a browser, another in a prompt thread. Nobody can see what happened, who approved it or what the agent should do next.

03

Costs creep up quietly

Agent work can become expensive when every role has every tool and no clear budget. A company made of agents needs spending limits before it needs more prompts.

04

Humans still need to stay in control

The goal is not to let software improvise with your company. The goal is a structure where agents can do real work and a human manager can approve, pause or redirect them.

What we set up

The control plane around AI labor.

Frameworks help developers build agents. This service helps leadership run them as a team. We define the structure, connect the tools and set the rules before agents touch real business work.

Design the AI org chart: roles, reporting lines and escalation paths

Write job descriptions for agentic employees and sub-assistants

Define goals for each agent so daily tasks connect to company priorities

Set budgets per agent, team, task type or client account

Connect agents to the tools they actually need, not every tool by default

Create ticket flows with traced decisions, tool calls and handoffs

Add approvals for hires, strategy changes, customer messages and spend

Schedule heartbeats so agents wake up, report progress and ask for help

Separate company, client and project data so the wrong agent cannot see it

Train a human manager to run weekly reviews instead of babysitting every task

Package reusable agent teams for ecommerce, sales, support or operations

Build dashboards that show cost, progress, risk and next decisions

Operating system

A company made of agents still needs management.

We design the boring parts on purpose. Boring is good here. It means costs are visible, work is traceable and the human in charge can step in.

01

Org chart

Who reports to whom, which agent owns which job, and where work escalates when confidence is low.

02

Goals

Company goals, team goals and agent goals tied together so tasks do not drift into random busywork.

03

Tickets

Every job becomes a tracked unit of work with context, status, owner, decisions and handoffs.

04

Governance

Approval rules, audit logs, rollback points and human overrides for anything risky or expensive.

05

Budgets

Monthly limits, project limits and automatic stops before a useful experiment becomes a runaway bill.

06

Tools

The right API, browser, inbox, CRM, spreadsheet or database access for each role. Nothing more.

Reusable teams

Start with a role map, then turn it into a working team.

Ecommerce operator: product content, AEO checks, campaign drafts, stock alerts and reporting

Sales desk: lead research, account notes, email drafts, CRM updates and follow-up reminders

Support team: ticket triage, knowledge base updates, escalation packs and quality review

Operations desk: recurring checks, supplier emails, data cleanup and exception reporting

Start with the org chart

Tell us which part of the company you want agents to run first.

We will map the jobs, write the first agent roles and show what should be automated, approved by a manager or left alone.