Swtch reduces EV driver support costs by over 50% with Retell AI voice agent Lucas
As EV adoption accelerated, Swtch's inbound call volume grew steadily and spiked sharply during infrastructure incidents, making human-only staffing both insufficient and uneconomical. Support team costs were rising 300 to 400 percent a year, yet long wait times were unacceptable for drivers standing at a charger in real time.
Human-only staffing could not absorb call surges during infrastructure or cloud-related incidents; even with continued hiring, wait times regularly exceeded internal standards and building for worst-case scenarios would have been inefficient.
By deploying the Lucas AI agent on Retell, Swtch reduced its support cost burden by over 50 percent, drastically improved SaaS margins, and delivered faster response times and quicker resolution — with most drivers unaware they were speaking to AI.
Frequently asked questions
What did this team achieve with this AI workflow?
By deploying the Lucas AI agent on Retell, Swtch reduced its support cost burden by over 50 percent, drastically improved SaaS margins, and delivered faster response times and quicker resolution — with most drivers un…
What tools did this team use?
Retell, Lucas.
What results were reported?
support cost growth rate (pre-AI): 300 to 400 percent a year; Support cost burden reduction: over 50 percent; SaaS margin improvement: drastically improve; Driver response and resolution time: faster response times and quicker resolution (source-reported, not independently verified).
What failed first in this deployment?
Human-only staffing could not absorb call surges during infrastructure or cloud-related incidents; even with continued hiring, wait times regularly exceeded internal standards and building for worst-case scenarios wou…
How is this customer support AI workflow structured?
Driver calls inbound → Lucas AI agent handles call → Route routine vs. complex → Resolution delivered to driver.