Background
You know how most Medicare call centers sound exactly the same? Long hold times, agents reading scripts, customers repeating their date of birth three times?
Spring Venture Group changed that game entirely. They took their 400+ agent operation and built something their customers actually thank them for.
Spring Venture Group brokers Medicare Advantage plans. Huge operation with $325M in revenue. They had 50 people whose entire job was asking "Are you currently on Medicare?" and capturing basic info before transferring to licensed agents.
Sound familiar? It's how everyone does it. And it works... kind of.
The Challenge
When you're handling thousands of calls, every percentage point of conversion represents real seniors getting the coverage they need (and real revenue).
Medicare conversations are complex. Dates, plan codes, eligibility windows. One wrong capture means a senior might miss their enrollment period.
Homer Kay, VP of Data Science from SVG, knew there had to be a better way. That's where Vapi came in.
Why Vapi
Homer points to the specific features that made the difference:
The prompt and tooling infrastructure made setup and iteration easy. Model and voice flexibility meant we could switch ASR, LLM, and TTS components. And structured outputs quickly showed the shape of data we'd capture and how it would map downstream.
Translation: unlike platforms that lock you into their models, SVG has complete flexibility. Need better transcription for Medicare terminology? Switch models. Want different voices? Change them instantly. All without rebuilding anything.
Here's what four engineers built in five days:
Day 1-2: Connected Vapi to their Amazon Connect phone system. Simple transfer to Vapi's infrastructure.
Day 3-4: Built the API to update Salesforce automatically. Perfect data capture every time.
Day 5: Created conversation flows that actually sound human. No more "Press 1 for Medicare, Press 2 for..."
Week 2: Tested with real callers. 50/50 split between humans and AI.
Week 3: Full rollout.
Homer's reaction?
Week one, we knew this was working. The calls sounded right, customers sounded happier, and the system picked up nuances we couldn't capture before.
And here's what made this work at scale: SVG's sales training leaders (not engineers) now create and modify conversation flows themselves. When they notice a common question, they add it. When regulations change, they update the script. No tickets, no delays.
The engineers built the foundation. The business teams run with it daily.
We found Vapi's infrastructure and tooling to be the missing layer. More interactive, faster, and more capable than what we could assemble alone.
Outcomes
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Transfer-to-close rate: 25% increase
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Cost savings: 85% reduction
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Revenue increase: 20% increase
That transfer-to-close jump? That's thousands more seniors getting the Medicare coverage they need, faster.
SVG's system now captures data dramatically better than humans did. Every name, every date of birth, every plan detail. Perfect handoff to agents who can focus on what matters: helping seniors find the right coverage.
The best part? Callers don't even realize they're talking to AI until the transfer. They just know someone listened, understood, and got them to the right person quickly.
With basic qualification transformed, SVG is thinking bigger: complex eligibility conversations with multiple Medicare scenarios, predictive routing based on caller needs, outbound campaigns for enrollment reminders, and multi-language support for diverse communities. Each new capability builds on the same platform. No starting over.
His advice to other insurance companies?
Try it. Create an account and see what happens. You'll likely be surprised by how good it is.
