Insurance software is notoriously bad. Claims adjusters have workarounds for their workarounds. Underwriters export to spreadsheets because the system doesn't surface the data they need in the format required to make the decision. Agency management platforms built in the late 1990s still power substantial books of business because nothing built since has been worth the pain of switching.
The insurtech startup wave of the 2010s mostly failed to fix this. Companies raised large rounds and built products that looked good in demos, struggled to get insurance buyers past pilot status, and discovered too late that selling into a regulated industry requires a specific kind of credibility that a well-funded sales team cannot manufacture.
The operators who spent those same years inside carriers, agencies, and MGAs were watching all of this and knowing exactly why it wasn't working.
What insurance operators already have
An insurance operator who decides to build an insurtech startup comes in with three things that funded outsiders have spent years trying to acquire.
The first is workflow knowledge at a granular level. Not "claims processing is slow" — every outsider can observe that. But the specific decision points where human judgment is getting applied to compensate for the system's failure, where the compliance checkpoint exists because the legacy system produces errors that matter at settlement, where the integration between two systems breaks down every time there's a policy change mid-term. That specificity is the product brief.
The second is regulatory familiarity. Insurance is heavily regulated, and the compliance requirements vary by line of business and state. An operator who has built products inside a carrier knows which regulatory constraints are genuinely hard and which ones just look hard from the outside. That eliminates a class of early-stage mistakes that kills insurtech startups before they reach first customers.
Why insurtech outsiders keep getting the product wrong
The pattern is consistent across failed insurtech startups: the product solves the visible problem, not the actual one. The visible problem is that something takes too long or requires too many steps. The actual problem is that the steps exist because the underlying data is unreliable, the downstream system has specific format requirements, or the person doing the work is making a judgment call that no automation has successfully replicated.
Insurtech products built by outsiders tend to automate the wrong thing. They remove friction from the step that looks slow without understanding why the friction is there. Insurance practitioners immediately spot this in a demo and the evaluation ends.
An operator building an insurtech startup doesn't make these mistakes because they've made the decisions that generated the data, processed the claims that revealed the edge cases, and trained the people who eventually developed the workarounds. They know which friction is load-bearing.
Distribution in a relationship-driven industry
Insurance buyers are resistant to cold outreach in a way that makes most B2B sales playbooks ineffective. The buying committee is risk-averse by professional training. Compliance and IT have veto power. And the memory of the last vendor who over-promised and under-delivered is fresh.
The distribution path for an insurtech startup's first customers runs through the founder's career network. Former colleagues who have watched the same problems from the same vantage point, broker relationships that were built over years of shared deals, carrier contacts who will take a call because they know the founder's operational track record.
That network isn't just the source of first customers — it's the source of the referrals that make the second and third wave of customers possible. Insurance is a tight industry. When a claims director at a regional carrier tells peers that a product is genuinely good, that carries weight that no case study or analyst report can replicate.
Where to start building
The right starting point for an insurtech startup is usually the narrowest specific workflow with the highest pain. Not claims processing broadly — that's too large and too competitive. But commercial lines renewals for small carriers who are still doing the data collection manually. Or agency comparative raters for a specific vertical market that existing raters don't support well.
The MVP should solve one workflow well enough that a practitioner would choose it over the existing workaround. Get paid for that. Prove the retention is there. Then expand.
The seed round for an insurtech startup with operator founders and paying contracts looks different from one with a demo and an LOI. Investors who have been burned by insurtech products that couldn't get past compliance review have a specific posture toward operator-led teams. The operator credibility changes the due diligence conversation.
If you've spent years inside insurance and you know the specific workflow that still runs on spreadsheets and workarounds, Alder works with operators who are ready to build. Tell us what you want to fix.