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.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Driver calls inbound
EV drivers call inbound support when a charging issue must be addressed immediately.
Tools used
RetellLucas
Outcome
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.
What failed first
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.
Results
Time savedfaster response times and quicker resolution