Case Studies

Real Businesses. Real Results.

Here's how we've helped service companies and agencies eliminate manual work and reclaim hours every week with custom AI automation.

Consulting Agency
From 4-Hour Email Triage to 15 Minutes Per Day
AI email classification + auto-reply system for a 6-person consultancy
12h
saved per week
94%
classification accuracy
7 days
to go live

The Problem

The team was spending 4+ hours daily sorting client emails, forwarding requests to the right person, and drafting standard replies. Two staff members were essentially part-time email managers.

What We Built

  • AI classification into 8 categories (support, billing, new business, etc.)
  • Auto-routing to the correct team member
  • AI-drafted responses for the top 5 recurring question types
  • Weekly summary report of email volume by category
Marketing Agency
Lead Response Time Reduced from 6 Hours to Under 3 Minutes
AI lead qualification + instant follow-up system
< 3 min
lead response time
0
missed leads
2x
qualified conversations

The Problem

New leads from their website were sitting uncontacted for hours. High-value prospects were going to competitors while low-quality leads were wasting the sales team's time.

What We Built

  • AI lead scoring based on company size, budget, and message intent
  • Instant personalized follow-up email for every new lead
  • High-score leads flagged in Slack within 60 seconds
  • All data pushed to HubSpot automatically
Service Business
Weekly Reporting Automated End-to-End
AI-generated performance summaries replacing manual Excel work
8h
saved per week
100%
on-time delivery
5 days
to go live

The Problem

The operations manager was spending every Friday afternoon pulling data from 4 different tools, building Excel reports, and emailing summaries to stakeholders. It was error-prone and exhausting.

What We Built

  • Automated data pull from 4 source systems every Monday at 7am
  • AI-generated plain-language summary with key trends and flags
  • Formatted report delivered by email to all stakeholders automatically
  • Exception alerts if any metric goes outside expected range

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