Case Studies

Real builds. Real hours saved.

Three businesses, three bottlenecks, three automations that paid for themselves.

Inbox Liberation · Business Coach

The problem

A coach running 1:1 and group programs was losing 2-3 hours a day to the inbox. Lead replies got buried under client check-ins. Response times stretched past 36 hours. Discovery calls slipped because booking links got lost in long threads.

What we built

An AI triage layer that reads every incoming email, drafts replies in the coach's voice, books discovery calls automatically, and surfaces only what actually needs a human.

The result

Email response time dropped from 36 hours to 20 minutes. The coach got their mornings back.

36 hrs20 min

Lead response time

Bid Agent · Foundation Repair Contractor

The problem

A regional foundation repair company — a three-person team — handled 40-60 bid requests a month. Every bid took 2-3 days: visit the property, then spend that night writing up line-item pricing, scope language, warranty terms, and a payment schedule. Slow bids lost jobs to faster competitors, and about a third of leads went cold before a bid even landed.

What we built

A bid generation agent that takes the estimator's voice notes and site photos, pulls pricing from the existing rate sheet, and generates a full proposal — scope of work, itemized pricing, warranty language, terms — in the company's exact format. The estimator reviews, tweaks if needed, and sends. Every bid auto-logs to the CRM against its lead.

The result

Estimators are now first in with a proposal on nearly every job. Close rate climbed, and they got their evenings back.

2-3 days20 min

Bid turnaround

Lead Management · Irrigation Company

The problem

An irrigation install and service company pulled leads from four channels — website form, Facebook ads, Google LSA, and phone — with no unified system. The office manager copied lead info into a spreadsheet by hand, then followed up when she had time. Speed-to-lead averaged 4+ hours on weekdays and 18+ on weekends. They had no idea which ad source produced booked jobs.

What we built

A unified lead pipeline that captures every lead the moment it arrives, regardless of source, and pushes it into Airtable with source attribution intact. An AI agent qualifies the lead — install vs. service, residential vs. commercial, urgency — texts the prospect within 60 seconds in the company's voice, and books straight onto a technician's calendar. Anything that needs a human is flagged for the office manager with full context.

The result

Every lead gets a reply before a competitor sees it. Clean attribution data let them shift ad spend toward the channels actually producing revenue.

4+ hrs2 min

Speed-to-lead

~2×

Booked jobs from inbound leads

Want results like these?

Book a free 15-minute call. We'll find the bottleneck worth automating first.

Book a 15-Min Call →