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Case Study

How EVX Increased Booking Efficiency by 70% with Agentic AI

From manual admin overwhelm to automated operations—how Jay Vera transformed her EV rental business with autonomous AI agents.

70%
Booking Efficiency Increase
6 weeks
Implementation Timeline
15hrs
Saved Per Week
JV

Jay Vera

Founder & CEO

EVX - EV Rental Business

About EVX

EVX is a New Zealand-based electric vehicle rental company serving eco-conscious travelers and businesses. Founded by Jay Vera in 2023, EVX operates a fleet of premium EVs across Auckland and Wellington.

Industry
EV Rental & Mobility
Location
Auckland & Wellington
Fleet Size
12 Vehicles
Team Size
3 Staff

The Challenge

"We were drowning in admin work. Every booking required manual emails, calendar updates, payment confirmations, and vehicle prep scheduling. I was spending 20+ hours a week on tasks that didn't grow the business."

— Jay Vera, Founder & CEO

Manual Booking Process

  • • 45 minutes per booking on average
  • • Manual email responses to inquiries
  • • Calendar conflicts and double-bookings
  • • Payment tracking in spreadsheets

Revenue Bottleneck

  • • Slow response times losing customers
  • • Limited capacity to scale operations
  • • High labor costs for admin tasks
  • • Founder time wasted on repetitive work

The Solution

We built a suite of autonomous AI agents that handle EVX's entire booking workflow—from initial inquiry to vehicle handover—with minimal human intervention.

1

Inquiry Response Agent

Automatically responds to booking inquiries within 2 minutes, checking vehicle availability, providing pricing, and answering common questions.

EMAIL AUTOMATIONCALENDAR INTEGRATION
2

Booking Confirmation Agent

Processes confirmed bookings, sends payment links, updates the calendar, and schedules vehicle preparation tasks for the team.

PAYMENT PROCESSINGTASK SCHEDULING
3

Customer Communication Agent

Sends pre-rental reminders, pickup instructions, and post-rental follow-ups. Handles common customer questions during the rental period.

SMS & EMAILCUSTOMER SUPPORT
4

Analytics & Reporting Agent

Generates weekly revenue reports, tracks vehicle utilization rates, and identifies booking trends to inform business decisions.

DATA ANALYSISREPORTING

Implementation Timeline

1

Weeks 1-2: Discovery & Planning

  • • Mapped existing booking workflow and pain points
  • • Identified automation opportunities and priorities
  • • Designed AI agent architecture and integrations
  • • Set success metrics and KPIs
2

Weeks 3-5: Development & Testing

  • • Built and trained AI agents on EVX's data
  • • Integrated with existing calendar and payment systems
  • • Tested agents with sample bookings and edge cases
  • • Refined responses based on Jay's feedback
3

Week 6: Go-Live & Training

  • • Phased rollout starting with inquiry responses
  • • Trained Jay and her team on monitoring dashboards
  • • Established escalation protocols for edge cases
  • • Began tracking performance metrics

Before & After

Before Automation

After Automation

Inquiry Response Time

4-6 hours

Inquiry Response Time

2 minutes

Time Per Booking

45 minutes

Time Per Booking

5 minutes

Weekly Admin Hours

20 hours

Weekly Admin Hours

5 hours

Booking Errors/Month

3-4

Booking Errors/Month

0

Results & ROI

70%

Booking Efficiency Increase

15hrs

Saved Per Week

$3.2k

Monthly Labor Cost Savings

Additional Benefits

Faster Response Times

Customers get instant replies, improving conversion rates

Zero Booking Conflicts

Automated calendar management eliminates double-bookings

Scalable Operations

Can handle 3x booking volume without hiring

Data-Driven Insights

Weekly analytics inform pricing and marketing decisions

"

The AI agents have completely transformed how we operate. I used to spend my entire week on admin tasks—now I spend it growing the business. The system pays for itself every single month, and we can scale without hiring more staff. Best investment we've made.

JV

Jay Vera

Founder & CEO, EVX

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