Your InsurTech is scaling into carrier integrations. We make sure every release ships clean and compliant.
A bug in premium calculation logic isn't a UX issue — it's a regulatory filing error and a potential bad faith claim. Insurance software has zero margin for release uncertainty.
Industry insights last refreshed: March 12, 2026
The QA Problems Every Insurance Team Faces
We've seen these patterns across every insurance company we've worked with. They're not unique to you — but they are fixable.
Premium Calculation Logic Breaks Across Rate Filings
State-specific rate filings must be implemented exactly as filed with insurance commissioners. A code change that introduces a calculation variance — even by cents per policy — can constitute an unauthorized rate deviation and trigger regulatory action.
Claims Processing Regressions Create Bad Faith Exposure
Bugs that cause claims to be incorrectly denied, delayed, or underpaid expose carriers to bad faith litigation and regulatory complaints. Claims logic is complex, state-specific, and almost never covered by systematic automated testing.
Carrier and Reinsurance API Integrations Are Fragile
InsurTech platforms integrate with carrier APIs, reinsurance systems, and ISO forms databases. These integrations are high-stakes and change frequently — breaking silently when upstream schemas update between releases.
Actuarial Model Changes Have No Regression Safety Net
When actuarial teams update loss models, rating factors, or reserving calculations, engineering teams implement changes without systematic regression testing against known-good outputs. Errors propagate into financial reporting.
IFRS 17 and Solvency II Reporting Accuracy Is Never Validated Pre-Release
Financial reporting under IFRS 17 (insurance contracts) and Solvency II (EU capital requirements) requires precise calculation logic. Releases that touch reporting logic are shipped without structured validation against regulatory calculation requirements.
The Cost of Doing Nothing
These aren't hypothetical risks. They're the real costs other insurance companies have paid.
Average cost of a bad faith insurance claim lawsuit settlement in the US
Insurance Information Institute / Jury Verdict Research 2024
Average cost of a financial services and insurance data breach in 2024
IBM Cost of a Data Breach Report 2024
Of US state insurance commissioners require pre-implementation rate filing approval — any variance is a violation
NAIC State Insurance Regulation Fact Book 2024
Typical timeline for resolving a regulatory market conduct exam triggered by systematic claims errors
NAIC Market Regulation Handbook
What You Get — Mapped to Insurance
Three deliverables, every release cycle, built specifically for insurance requirements.
Automated Regression Suites
AI-generated test suites covering premium calculation logic by state and product, claims adjudication rules, carrier/reinsurance API contracts, actuarial model outputs, and financial reporting calculations — updated every release cycle.
Compliance Validation
Every release cross-referenced against your state-specific rate filings, NAIC claims handling requirements, IFRS 17 measurement model logic, and Solvency II capital calculation requirements as applicable.
Pre-Release Readiness Reports
Pre-release report covering premium calculation validation status, claims logic regression results, carrier API integration health, actuarial output comparison, and a ship/no-ship recommendation — with specific flags for any changes affecting filed rates or financial reporting.
How It Works
From zero to audit-ready releases in under three weeks.
We access your repo, map your stack, identify compliance requirements, and define critical test paths.
We deliver your first regression suite, compliance check, and readiness report as proof of value — at no commitment.
Updated test suites, compliance validation, and readiness reports every release cycle.
The First Audit is your proof of value — delivered in one week with no commitment required.
Get a Free Release AuditWhy Not Just Hire a QA Team?
Enterprise-grade release confidence at startup-friendly pricing.
- $120K–$160K per engineer per year
- 2–3 months to ramp up and learn your codebase
- Recruiting fees of $20–30K per hire
- Benefits, equipment, PTO overhead
- No compliance specialization by default
- Institutional knowledge walks out the door with them
- AI-generated regression suites, updated every release
- NAIC Model Regulations and compliance validation included
- Pre-release readiness report before every deploy
- Onboarded in 1–2 weeks, first audit in week 3
- No recruiting, no benefits, no ramp-up time
- Scales up or down with your release cadence
See how Insurance companies ship 3x faster with audit-ready releases
Case studies and client testimonials coming soon. In the meantime, let's talk about your specific situation.
Ready to stop worrying about your next release?
Get a Free Release Audit — we'll analyze your last release and deliver a insurance readiness report.
No commitment. Delivered in one week.