Retro-futuristic penthouse with a distant rocket beyond the windows
The AI Staffing Agency

Service Businesses
Run on Agent Fleets

We train and manage your AI staff — coordinated teams across revenue, operations, compliance, customer success, and reporting.

Our engineers solve the problem inside the live workflow, train your AI staff to do the job, and manage that staff for you.

The thesis

One agent is a tool. A fleet is an organization.

The next services winners will not just add AI to old org charts. They will rebuild the operating model around agent teams, human escalation, measurable workflow data, and reusable vertical playbooks.

01

Custom deployment, reusable core.

02

Agents need org charts, not just prompts.

03

Humans stay in judgment-heavy and trust-heavy work.

04

Pipeline is not ARR; evidence matters.

Operating Proof

Built in the hardest workflows first

We focus on service businesses where revenue, compliance, customer experience, and operational handoffs all have to work together.

17-role
anchor fleet architecture

A healthcare and benefits revenue operation mapped into specialist agents across prospecting, qualification, enrollment, service, retention, compliance, and fleet operations.

12-stage
sales motion

A full-funnel system that connects list building, outreach, voice, SMS, CRM updates, quote support, nurture, and human escalation.

14-month
nurture window

Long-cycle buyer journeys stay alive through structured follow-up, reply handling, renewal reminders, and operational audit trails.

How a Fleet Gets Built

The work is less like installing a chatbot and more like designing a department.

01

Map the workflow

Define the human roles, data sources, decisions, escalations, audit needs, and handoffs that make the operation work.

02

Design the agent org chart

Split the work into specialist agents with managers, escalation rules, evidence trails, and measurable output.

03

Turn proof into playbooks

Once a fleet works in the field, preserve the reusable architecture so the next deployment starts farther ahead.

Retro command center
Mid-century modern lobby

Building the operating model for AI-staffed service companies.

For investors, strategic partners, and anchor customers who care about what happens after the demo works.

Read the Company Thesis