AUTOMOTIVE

Sales voice agent for a passenger-car manufacturer's website leads

Website leads for cars go cold when calls are slow. Wexa adapted its voice-agent template to call every new web lead, qualify it and book the next step.

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to adapt the voice-agent template to a new use case
web lead called by the agent

CLIENT: Large passenger-car manufacturer
REGION: India
WHEN: 2025
ENGAGEMENT: Proof of concept
WEXA COMPONENTS: Outbound voice agent · lead scheduler · CRM update

01Case 33

The challenge

Slow call-back on website enquiries
Inconsistent qualification
Limited call-center capacity at peaks

What Wexa built

Automatic calls to new website leads
Qualification script and next-step booking
Dispositions written back for the sales team
Same architecture as the dealer and lender agents (see voice-agent figure above)

02Case 33

How it runs on Wexa

FigureHow this use case runs on Wexa: client systems connected, ontology discovered, context graph in the Wexa memory layer, agents and process flows, and governance. Highlighted components are central to this use case.

03Case 33

Results

Measure	Before / without Wexa	With Wexa
Callers for website leads	30 callers	8 callers
Annual cost of the process	$150K	$40K
Time to implement the AI solution	3 months	1 week
AI build cost (one-time)	$96K	$4K
AI operating cost per year (models, infrastructure, upkeep, platform)	$65K	$29K
Total AI cost in year 1	$161K	$33K