We listen.
Walk us through a real task. Show us where it slows down and what a good outcome looks like.
You know the work. We bring the technology.
AI agents shaped around your team and your working day.

Before we build an agent, we need to understand the people it will work alongside. The person answering the phone. The one chasing estimates. The owner trying to get home on time.
I spent 13 years owning and operating a home-service business. I know a new tool has to earn its place in the working day.
We start with your team, choose a useful piece of work, and build around it. You help shape the decisions. We test it together.
Connect campaign spend and inquiries with the customers and booked jobs in your records. See what matches, and what still needs a person.
Start by checking which inquiries connect to actual customer records. Then compare spend with confirmed outcomes for the agreed period.
A scripted demonstration, not a live AI integration. Actual matching depends on your tracking and customer data. A match does not prove a campaign caused a booking.
Inspect three examples, including one we leave unmatched. Existing customers and new customers are kept separate.
Match inquiries to customer records and booked jobs. Separate new customers, returning customers and connections that still need review.
Help your team find answers in approved business information, and flag questions that need a person.
Bring information together into a draft update, with sources your team can check.
Starting points for a conversation. We confirm feasibility, access and scope before agreeing on a build.
Walk us through a real task. Show us where it slows down and what a good outcome looks like.
Agree on one workflow, its boundaries and the decisions that stay with your team. Then try a working version together.
Agree on ongoing support, review what’s working and adjust as your team’s needs change.
What a scoped matching workflow could include.
↗THE METHODThe checks, the exceptions and the decisions that stay with you.
↗THE WORKED EXAMPLEFollow three fictional records through the matching process.
↗Tell Aaron about it. We’ll start there.
Direct to Aaron at Sequoia GEO.
No automated assessment. A conversation.