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InsuranceEngine Declined

Statewide Insurance Education Provider — Engine Declined

$500K+ revenue capacity left on the table

This provider had the vision to dominate their state. They had the leads, the app, and corporate backing. What they didn’t have was a system to run it.
What declining cost them

The gap they walked away from.

$500K+

annual revenue capacity left on the table

Every year. Every renewal cycle. Indefinitely.

70–90/mo

enrollments never converted from the leads they were already paying for

1,000–1,200+

students per year who never got licensed through their program

20–30 hrs/wk

staff hours burned on work the engine handles in seconds

40%

completion-rate lift their cohorts will never see

Every number above is what the audit identified as the addressable gap. They had the leads. They had the product. They didn’t connect them — and the cost compounds every month they don’t.

The challenge

Strong product. No system to run it.

The provider’s goal was to train and license hundreds of students a month, then funnel graduates into broker opportunities. They had a newly launched app and an interactive course ahead of U.S. competitors, plus 160+ leads a month at roughly $27 per lead through Google Ads. The demand was real. The machine to convert it wasn’t.

Where the hours leaked

  • Manual enrollment bottlenecks on every applicant
  • Staff overhead chasing leads and answering the same FAQs
  • Low licensing-completion rates from poor follow-up
  • No precise tracking through the student journey
  • Lead nurture across the full journey was essentially non-existent
The intervention

A full AI operating system — proposed.

Turbion proposed a full AI-staffed operating system spanning intake, engagement, licensing, placement, and staffing — one connected engine to convert the demand the provider was already paying to generate.

What the engine would have run

Intake agents

  • 84–103 enrollments/month, up from 6–13 done manually

Engagement agents

  • 85% of FAQs and licensing questions handled automatically

Licensing-completion flow

  • 30–40% higher pass-through rates from timed follow-up

Career-placement pipeline

  • Graduates funneled directly into broker revenue channels

Staffing

  • Monthly cost from $18–25K (outsourced + VA team) to $3–5K augmented by AI
The projected impact

What the build would have unlocked.

MetricProjected impact
Annual enrollment increase1,000–1,200+ students
Monthly enrollment6–13 → 84–103 / month
Annual staff hours saved1,000+ hours
Weekly staff hours saved20–30 hours
Completion rate40% higher year-over-year
Revenue capacity unlocked$500K+ annually
The decision

The case is binary.

Engine deployed

1,000–1,200+ additional enrollments annually, $500K+ revenue capacity unlocked, 40% higher completion rates.

Engine declined

enrollment stuck at 6–13/month, staff bandwidth burned, competitors pulling ahead.

Strong product. Strong demand. Weak system. The audit shows the gap. The build closes it.

Regulated industry

US LLC · $1M Cyber Liability COI · HIPAA BAA · customer-owned data · named sub-processors · MSA/SOW/IP assignment. The trust assets your procurement team will ask for, available before the call.

View compliance documentation

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