Client case study
Fence Lead Voice Agent
A client workflow with one clear decision point. The voice agent called each lead, collected enough detail to size and price the job, then split on cost: smaller jobs received a Stripe payment link by email, larger jobs went to a human before anything was quoted. Having that threshold is what made automating the rest safe.
Context
Leads came from Facebook and Instagram ad campaigns.
The company needed fast qualification without losing high-value or complex jobs.
The agent had to connect conversation, price calculation, Stripe, email, and human handoff.
How it works
The workflow pulled lead context from Meta ad data.
An n8n flow coordinated the calling agent, business rules, and follow-up actions.
The voice agent collected enough detail to estimate the fence size and price.
Smaller jobs received a custom Stripe payment link by email after the call.
Larger jobs were routed to a human operator.
Challenges
Making the voice flow feel useful without trapping customers inside automation.
Keeping pricing logic clear enough to trust during a live call.
Designing the handoff so large jobs reached a person instead of being mishandled by the agent.