Custom Software Development for Insurance
Full product engineering from architecture to production deployment, with strict test coverage, continuous integration, and complete Infrastructure as Code.
Book 1-Week Paid AssessmentInsurance runs on different constraints than a generic build.
Claims processing, underwriting, and fraud detection are exactly the kind of high-volume, document-heavy workflows agentic AI is good at, and exactly the kind of workflow where an unreviewed automated decision becomes a regulatory or reputational problem the moment it denies a real claim incorrectly.
- state-by-state insurance regulation on automated decisioning
- document-heavy intake (PDFs, faxes, scanned forms) as the actual input format
- explainability requirements when a claim or policy decision is contested
- legacy policy administration systems as the system of record
MVP & Custom Software Development.
Every engagement opens as a fixed one-week paid assessment that scopes the build before a production sprint starts.
- Production-grade web, mobile, or backend microservice builds engineered for real throughput, not a demo
- Automated unit, integration, and load test suites that prevent production regressions
- Fully reproducible deployments configured with Terraform, Docker, and Kubernetes
- Complete source handover, no vendor lock-in
Before you book the assessment.
How does the one-week paid assessment work for insurance?
The same fixed process for every engagement: two days auditing your data, systems, and permission model; two days building feasibility and threat-model benchmarks against real payloads specific to insurance; one day delivering a production roadmap and total cost of ownership model. If the finding is that this isn't a fit, you get that finding and keep the analysis. No open-ended discovery fees.
Do you work with our existing systems, or do we have to replace them?
Integrate first, replace only if the assessment shows a genuine need. Custom Software Development engagements are scoped against the systems you already run, not a greenfield rebuild by default.
Who owns the result?
You do. Every engagement hands over complete Infrastructure as Code, operational runbooks, and training on handover. Retainers are a choice you make afterward, not a dependency we build in.
What's different about how AnveAI runs this compared to a typical vendor?
We operate the same zero-ingress, scoped-credential, human-approval-gated architecture for our own production agent platform and four live products (AnveVoice, AnveForms, CiterLabs, ZapMind). What we propose for insurance is what we run ourselves, not a reference architecture we've only ever pitched.