The Challenge

Smarty Electrics, a growing EV charger installation business in the Southwest, relied on a well-known UK call answering service to manage inbound customer inquiries.

The need for intelligent voice AI.

While necessary, the service was costly and often missed the mark, valuable leads were being lost when customers couldn’t be reached again after their initial call. Technicians lacked detailed information ahead of follow-up calls, and the admin overhead was growing.

The business needed a smarter solution: one that could ask the right questions, sync with their calendar, and reduce reliance on external help.

100%

Capture

No missed leads, all inbound calls answered.

2x

Leads Handled

Handling more inbound enquiries with better lead information.

3

New Numbers

3 new regional numbers for accurate reporting on advertising spend.

“We were sceptical at first about how a Voice AI would sound or what info it could gather. But the proof of concept blew us away, and having booked appointments land directly in our calendar has been a game changer.”

Man Drawing on Chalkboard

The Process

Zeelee delivered and deployed the Voice AI setup in under three weeks, using the following steps:

  • Transcribed 50 real technician calls
  • Trained Voice AI on specific industry needs
  • Provisioned three new local call tracking numbers.

  • Integrated follow-up bookings into Google Workspace
  • Delivered call notes directly into team calendars

Conclusion

Strong recorded data made training fast and effective, and by working with existing tools like Google Calendar, there was no steep learning curve.

Smarty Electrics avoided the cost of temp staff or human call handlers by building a custom Voice AI system that reflects how they actually work. The result: higher lead capture, smoother operations, and the confidence to increase ad spend.

This type of embedded Voice AI is ideal for service businesses with growing call volume and no desire to build a call centre. It’s repeatable, fast to train, and delivers from day one.

Listen to an example call

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