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AI
Vertical SaaS
Automation
Revenue Ops

CasaNeuro

AI Automation Platform for HVAC & Home Services

Client

CasaNeuro

Year

2024–2025

Role

Product Lead · Go-to-Market · Systems Design

C

At a Glance

30%

Booking Lift

<2min

Response Time

45%

Labor Savings

Context

Home-service operators lose meaningful revenue from missed calls, after-hours inquiries, and manual scheduling.

Problem

  • 01Missed inbound opportunities costing revenue
  • 02Inefficient call handling and routing
  • 03High administrative overhead

Approach

How we tackled the problem.

Step 1

Modeled the full customer journey from call → booking

Step 2

Designed AI agents with calibrated human tone

Step 3

Integrated voice, calendar, and CRM systems

Solution

What we built.

1

AI inbound and outbound call agents

2

Automated qualification and scheduling

3

Performance analytics by campaign and technician

Results

Measurable outcomes from the engagement.

  • 20–30% lift in booked appointments
  • Reduced front-office labor strain
  • Improved customer experience consistency

Learnings

What I took away from this project.

Trust is built through tone

Vertical context beats generic AI

Reliability is the killer feature

Tech Stack

Python
Twilio
OpenAI
PostgreSQL

Let's build something.

Interested in working on a similar challenge? I'd love to hear from you.

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