Insurance
Connect distribution, underwriting, servicing and claims.
Document-heavy processes, legacy policy administration and fragmented customer data are the recurring constraints. All three respond to the same architectural answers.
How this sector runs
Where the work starts, and where it is decided
Every sector has a different shape. The node in gold is the decision the whole flow turns on — it is rarely in the same place twice.
Sector pressures
What is making this difficult
These are the constraints we most often find when we start work in this sector.
Claims cycle time
Manual document handling and fragmented systems extend settlement times and drive customer dissatisfaction at exactly the moment it matters most.
Legacy policy administration
Products take months to launch because the policy administration system was designed for a different product model.
Underwriting data
Risk assessment depends on data spread across internal systems and external sources that are not integrated.
Distribution complexity
Broker, direct and partner channels with inconsistent data and duplicated servicing.
Combined ratio pressure
Sustained pressure to reduce expense ratio while improving service.
Use cases
Where the work concentrates
Claims automation
Document extraction, validation, straight-through processing for simple claims and routed exceptions for complex ones.
Intelligent document processing
Extraction from forms, correspondence and supporting evidence with confidence-based human review.
Underwriting analytics
Governed data foundations bringing internal and external risk data together.
Customer and broker portals
Self-service for policy, claim and document access.
Policy system integration
API layers over legacy administration systems so channels can move independently of the core.
Service operations automation
Back-office processing, reconciliation and correspondence handling.
Regulatory context
Operating under regulation
Insurers operate under conduct, solvency, data protection and claims-handling requirements that vary by jurisdiction and product line, and that shape audit, documentation and decision-explainability obligations.
Resilience Solutions provides solutions designed to support customer compliance requirements. Regulatory obligations remain with the regulated entity.
Where Insurance leads
Every connection below is recorded in the content itself, and each one says why it is here.
Capabilities
Technologies
Find your transformation path
Open the guided finder with this sector already selected. Four questions, and an explanation of why each capability came up.
Start from a goal
Questions
Frequently asked
- What does claims automation actually automate?
- Typically: intake and document classification, data extraction from forms and evidence, validation against policy data, and straight-through processing for claims that meet defined criteria. Complex, disputed or high-value claims are routed to adjusters with the context already assembled. The objective is to remove handling from the simple majority so that skilled attention concentrates on the cases that need it.
- How do you improve underwriting data without replacing the policy system?
- By building a data layer that reads from the policy administration system rather than replacing it. Underwriting analytics consumes governed data products assembled from internal and external sources, leaving the core system of record in place. This separates the pace of analytical change from the pace of core system change.
- Is document AI accurate enough for claims?
- For structured and semi-structured documents, generally yes — with a confidence threshold and human review for anything below it. The important design decision is not maximizing extraction accuracy but setting the confidence threshold correctly and making the human review path efficient, since that is what determines both the error rate and the realized benefit.
Discuss a insurance initiative
Tell us what you are trying to change and we will connect you with people who have worked on that specific problem.