AI Agents

A Coordinated AI Workforce at Every Location

Six specialized agents, each doing one job well. Together they cover the entire demand lifecycle at every location and feed everything they learn into one shared intelligence layer.

The Workforce in Motion

A Day in the Life of a Lead

No agent works alone. Watch a single lead move through the system. Each agent does its one job, hands off with full context, and feeds everything it learns into one shared intelligence layer.
The Intelligence Layer

Every interaction below becomes shared signal

Benchmarks, qualification patterns, and timing the whole network learns from, not data trapped at one location.

01Intent detected
Web Pixel

A visitor browses without filling anything out. Web Pixel surfaces the intent signal before it disappears.

02First touch
InboundOutbound

The lead reaches out, or Outbound reaches first. The right agent opens the conversation in seconds.

03Qualified
Chatbot

Questions get answered from your business knowledge, and the lead is qualified inside the conversation.

04Booked
Voice

The qualified lead calls, or is called. Voice answers and books the appointment on the spot.

Parallel track · Recruiting

While customer demand flows above, the Franchise Development Agent works the franchise-candidate funnel, feeding the same intelligence layer.

Why One Job Each

Specialized agents beat one generic assistant

We could have built one assistant that tries to do everything. We didn't, because a workforce of focused agents is more reliable, more accountable, and deployable across an entire network.

Reliability

A focused agent does one job predictably and is straightforward to test, tune, and trust. A single do-everything assistant degrades the moment it has to switch contexts.

Role Clarity

Each agent owns one measurable outcome (leads answered, calls booked, visitors identified), so accountability is obvious and nothing falls between the cracks.

Network-Wide Deployability

One job deploys identically across every location. Specialized agents activate network-wide from a single contract without per-location reconfiguration.

The Agents

One Job Each, Organized by Where It Acts in the Lifecycle

The same six agents, arranged the way demand actually moves: capture, qualify, re-engage, recruit. Start with the stages your network needs covered today.
The Network Effect

They Get Smarter Together

The point of a workforce is not six tools in one bill. It is that every agent feeds the same intelligence layer, so what any one of them learns makes all of them better, at every location.

Patterns Travel Between Agents

A qualifying question Voice learns works improves how Inbound and Chatbot qualify. The workforce shares one playbook, not six.

Timing Learned Once, Applied Everywhere

When Outbound learns the hour a market responds, every agent times its follow-up to match, across the whole network.

A Win Anywhere Raises the Baseline

A result one location produces becomes the standard the rest start from. Adding a location makes the network smarter, not just bigger.
Start Anywhere

Start With One. Layer the Rest on the Same Contract

You don't have to deploy the whole workforce on day one. Switch on the agents your network needs now and add the others as you go, and the intelligence layer compounds either way.
01

Start

Deploy one or two agents, often Inbound and Voice, across every location.
02

Layer

Add agents on the same network contract whenever you are ready. No re-procurement.
03

Compound

Each new agent enriches the shared layer, so coverage and intelligence grow together.
<0sSpeed to lead across every location
0%Increase in qualified leads per location in 90 days
$0M+New pipeline created
0hrsSaved per location weekly

Questions About the Workforce

How the agents coordinate, deploy, and compound.

Scope Your Deployment

Tell us which jobs your network needs covered. We will scope which agents to start with and how the workforce rolls out across your locations.

Scope your deployment