Cold calling in insurtech
Insurers and brokers run on legacy systems and manual processes. A call that names a specific claims or underwriting bottleneck gets a rare hearing.
Why cold calling works here
Insurtech (underwriting, claims automation, distribution, pricing, embedded insurance) sells into insurers, brokers, and MGAs weighed down by legacy tech and manual workflows. Cold calling works because the pains are concrete and costly — slow claims handling that hurts retention, manual underwriting that limits capacity, poor data and pricing, clunky broker journeys. The buyer is a product, claims, underwriting, or ops leader. Lead with a specific process bottleneck and a measurable improvement, respect compliance, and target a pilot on one line or workflow.
Pains you can lever
- Slow, manual claims handling driving customer churn
- Underwriting bottlenecks limiting the volume they can quote
- Legacy core systems that are costly and hard to change
- Poor data and analytics leading to mispriced risk
- Clunky broker or customer journeys losing business at quote
How to open the call
Name a process bottleneck: 'Where's the biggest manual drag in your operation right now — claims turnaround, underwriting capacity, or the broker quote journey? Those are where insurers lose retention and volume. I'd like to show a pilot on one line that measurably speeds it up.'
Objections you'll hear (and how to handle them)
We have core systems in place.
Change in insurance is slow and regulated.
Send me information.
What Tepio's AI brief surfaces here
Tepio's AI brief reads the prospect's site to infer whether they're an insurer, broker, or MGA, their lines of business, and likely legacy pain — so you open on a specific claims or underwriting bottleneck, not a generic insurtech pitch.
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