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Operations · Materials supplier

An estimated $500K+ a year in labor, back.

A national supplier of building and landscaping materials that sells to contractors. We found where the team's hours went, automated the repetitive work, and trained people to use AI in their own jobs.

$500K+

Estimated labor cost removed per year

8 mo

In, and still running

2

Staff training cohorts, plus all-hands sessions

At a glance

Client
National materials supplier (name withheld)
Customers
Contractors and landscapers
Engagement
Embedded AI & automation lead
Started
March 2026
Status
Ongoing

The problem

  • Quotes prepared by hand, line by line
  • Routine customer emails written from scratch every day
  • Supplier catalogs and price lists arriving in every format
  • Staff curious about AI, unsure what was allowed or who to ask

What we built

01

Quote prep

Incoming requests turned into ready-to-check quotes

02

Customer inbox

Routine emails sorted and drafted; a person approves before anything is sent

03

Catalog intake

Supplier catalogs and price lists read and loaded automatically

04

Call intelligence

Sales calls transcribed and summarized for follow-up

05

Daily reporting

Daily report and sales trackers, without anyone pulling the numbers

06

AI policy

Acceptable use and data handling, written in plain English

How we ran it

  • Training ran on staff's own work, not demos
  • One named person to ask, so questions didn't pile up on the CTO
  • Everything documented in their knowledge base, so it outlasts any one person

What changed

  • An estimated $500K+ a year in labor cost removed, from quote prep and customer email alone
  • People still approve anything that reaches a customer
  • Running eight months on, not a pilot that faded

Sound familiar? Thirty minutes tells us both whether there's a leak worth fixing.

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