How It Works

Three steps. One working AI agent.

We keep it simple on purpose. You don't need to understand AI to benefit from it you just need a process that's costing your team time.

01

Map

We find where the time is going.

1–2 weeks

We start with a single workflow one process your team handles repeatedly. We trace how information moves through it, where it slows down, and what's being done manually that doesn't need to be. By the end, you have a documented picture of the process and a clear recommendation for what an AI agent should handle.

Deliverables

  • Workflow diagram
  • Friction and bottleneck analysis
  • AI agent scope and build plan
02

Build

We build the agent around your actual process.

2–4 weeks

We design and build a custom AI agent scoped to the workflow we mapped. It connects to the tools your team already uses email, forms, CRMs, spreadsheets and handles the repetitive steps automatically. Before go-live, we test it against real scenarios and train your team on how it works.

Deliverables

  • Custom AI agent, production-ready
  • Up to two tool integrations
  • Testing and team training
03

Run

The agent runs. We keep it running.

Ongoing

After launch, we stay on. We monitor the agent, review performance monthly, and make adjustments as your business changes. You get direct access to our team for questions and updates and a system that gets better over time, not one that gets forgotten.

Deliverables

  • Monthly performance review
  • Workflow and rule updates
  • Direct owner and staff support
In Practice

What the process looks like for real businesses.

Home ServicesJob intake and scheduling

Before

Requests come in by phone, text, and email. Someone manually enters each one, checks availability, and sends a confirmation. Jobs get missed. Follow-ups don't happen.

After

The AI agent captures every request, checks availability, creates the job, and sends a confirmation automatically. The team sees a clean queue, not a pile of messages.

Professional ServicesClient document collection

Before

Staff spend hours each week emailing clients for missing documents, tracking what's been received, and updating a shared spreadsheet that's always out of date.

After

The agent sends requests, tracks responses, and updates status automatically. Staff see what's outstanding without chasing anyone and clients get timely reminders without anyone sending them.

Field ServicesJob updates and invoicing

Before

Field staff send updates by text. Someone in the office manually enters them, generates an invoice, and emails it. The process takes hours and often runs a day behind.

After

Field updates trigger the agent automatically. It generates the invoice, routes it for review, and sends it same day, without anyone in the office touching it.

Tell us about one process that's costing you time.

We'll show you exactly how an AI agent would handle it and what it would take to build.