Software for the policies, claims and numbers insurers run on
Insurance
An insurer's software carries the policy, prices the risk and produces the numbers a regulator will eventually check. This practice builds claims automation, underwriting and policy administration systems, and the actuarial pipelines behind statutory reporting, each engineered to survive an audit.
01Start from where the delay lives
Name the operational bottleneck.
Insurance buyers usually feel one of four bottlenecks. Claims moving too slowly, underwriting running on distrusted data, a policy platform too rigid for new products, or actuarial staff buried in manual reporting, each names a different drag. Naming it narrows the route to the fitting practice.
Manual review and paperwork slow every claim from filing to payout.AI applied to intake and triage cuts manual review, and modernized claims applications carry the new workflow.
Risk pricing runs on data pipelines nobody fully trusts.Data modernization builds the governed pipeline underwriting and actuarial models actually need.
The system issuing and servicing policies is too rigid for new products.Custom engineering rebuilds the policy platform in the shape new products actually need.
Statutory returns are assembled by hand from disagreeing systems.Compliance consulting maps the reporting obligation, and data modernization gives the numbers one trustworthy source.
AI for Claims & Underwriting
Triage and risk models evaluated against real claims history.
Claims Automation
Intake, triage and payout workflows redesigned to cut manual load.
Underwriting & Actuarial Data
Pricing and actuarial pipelines rebuilt on data teams can trust.
Policy Administration
Policy issuing and servicing platforms rebuilt without a full rewrite.
Regulatory & Compliance Reporting
Statutory reporting mapped and automated to satisfy the regulator.
02Actuarial rigor meets software discipline
Built so the numbers survive an audit.
Insurance engagements run a delivery process where data lineage and control evidence are architecture decisions, not a report generated after the fact. Every pipeline that feeds pricing, reserving or a statutory return is traceable to its source, and every release documents what changed and why.
Frame the actuarial and reporting surface
The pipelines feeding pricing, reserving and statutory returns are mapped before any rebuild begins, so a missing data source never surfaces at filing time.
A data map before the modelDesign for lineage, not just storage
Every figure reaching a regulator or an actuary carries its lineage back to source, recorded as a decision your compliance team can inspect.
Architecture built for traceabilityValidate workflows against real claims history
Automated triage and payout logic is tested against historical claims before launch, so an edge case does not surface for the first time in production.
Claims logic tested against real casesShip with the reporting trail intact
Each release documents the data and logic behind any number that could appear in a statutory filing, ready before the filing deadline arrives.
A release with its evidence attached
03What carriers, MGAs and brokers commission
Insurance services by the name an operations leader searches for.
Insurers commission claims automation, a policy platform or a reporting pipeline, and each comes with a data standard or a supervisory rule attached. The rows match the service to its deliverable, the standards that shape it and the practice accountable for the build.
| What you need | What we build | Standards and integrations | Where it lives |
|---|---|---|---|
| Claims processing automation | Intake, triage, fraud flags and payout workflows with human review on exceptions and a log per decision | ACORD claims forms, ISO ClaimSearch, NAIC Unfair Claims Settlement Practices model | Application Modernization |
| Policy administration modernisation | Quoting, binding, endorsements and renewals rebuilt or integrated without a single risky cutover | ACORD data standards, Guidewire PolicyCenter, Duck Creek Policy, Majesco | Custom Software Development |
| Underwriting and actuarial data platforms | Rating tables, third-party data feeds and reserving pipelines with every pricing factor traceable | ACORD forms, ISO rating content, LexisNexis and Verisk data feeds, IFRS 17 | Data Modernization |
| Regulatory and statutory reporting | Governed pipelines producing statutory returns with lineage from filed figure to source record | NAIC statutory reporting, Solvency II QRTs, IFRS 17, Lloyd's returns | Compliance Consulting |
| Agent, broker and reinsurer integration | Documented interfaces to distribution platforms, comparison sites and bordereaux exchange | ACORD AL3 and XML messaging, Applied Epic and Vertafore APIs, Guidewire integration | System Integration |
| Claims and underwriting AI | Triage, document extraction and risk models evaluated on historical claims with a human final call | NAIC AI model bulletin, EU AI Act, Colorado SB 21-169, ACORD data standards | AI & Automation Hub |
ACORD
The standards body publishes the forms, XML messages and data models insurers, brokers and reinsurers exchange, so policy and claims schemas are built to its vocabulary rather than translated at every boundary.
Guidewire
PolicyCenter, ClaimCenter and BillingCenter expose integration points through Guidewire Cloud APIs and events. New workflows connect through those contracts so upgrades and vendor support stay intact.
NAIC model laws
State regulators adopt NAIC models covering data security, market conduct and AI use. Data handling, decision logging and reporting features are traced to the model that applies in each state.
Solvency II and IFRS 17
Both regimes demand figures whose lineage reaches back to the policy record. Reserving and reporting pipelines are built to reproduce a filed number from its inputs on demand.
04Evidence and proof
Insurance operations that passed their audit on time.
Insurance proof has to satisfy an operations reviewer and an actuary at once. These previews show that standard while written client approvals are collected.
Explore case studies
Claims triage cut from days to hours without adding headcount.
Halden Mutual ran claims intake through manual review that backed up every renewal season. Automated triage with a human check on exceptions cut the queue while keeping every decision traceable.
- Triage time
- Days to hours
- Decisions traceable
- Every one
A statutory reporting cycle that stopped requiring a spreadsheet marathon.
A mid-market insurer assembled regulatory returns by hand from six disagreeing systems each quarter. One governed pipeline gave every figure a traceable source and cut the cycle by more than half.
- Reporting cycle
- Cut by more than half
- Figures with lineage
- All of them
They mapped our reporting obligations before they mapped our database schema, and that order mattered.
Sample · pending client approval
05Four doors into insurance engineering
Enter through the practice matching the bottleneck.
Claims automation, underwriting data, policy platform rigidity and regulatory reporting each need a different starting point, and the doors below route to the practice built for it. Every door inherits the same traceability standard the sector's numbers depend on.
- AI & Automation
Automate claims intake and triage
Claims workflows redesigned with AI applied only where the evaluation supports the decision.
- Data Modernization
Rebuild underwriting and actuarial data
Pricing and actuarial pipelines rebuilt on data the risk function can finally trust.
- Custom Software Development
Modernize policy administration
Custom engineering for policy platforms too rigid to carry a new product launch.
- Compliance Consulting
Automate regulatory reporting
Statutory and supervisory reporting mapped and built to satisfy the regulator on time.
06Straight answers
Asked before an insurance engagement starts.
01How do you automate claims processing without losing oversight?
Automated triage and payout logic handle the routine volume, while exceptions and high-value claims route to a human reviewer by design. Every automated decision logs its reasoning, so oversight does not disappear when the manual step does.
02Can you modernize underwriting without disrupting current policies?
Yes, by building the new data pipeline alongside the existing one and switching over gradually. Underwriting keeps running on the old system until the new pipeline proves itself against real pricing outcomes.
03Do you work with legacy policy administration systems?
Regularly, since very few insurers replace a policy system outright. Integration and staged modernization usually beat a rebuild, and the assessment tells you honestly which path your platform actually needs.
04How do you support statutory and regulatory reporting?
By giving every reported figure a traceable path back to its source data. The pipeline is built once, documented once, and reused every reporting cycle instead of reassembled by hand each quarter.
05What does insurance software development cost?
It follows the data and integration surface a scoping engagement maps, since a claims automation project and a full policy platform carry different risk. The estimate reflects your actual systems, not an industry average.
06Can AI support underwriting decisions?
Where the historical data is representative and the model's reasoning is inspectable. A human retains the final call on any decision affecting a policyholder's price or eligibility, and the evaluation evidence is kept on file.
07Do you integrate with agents and brokers?
Yes, through documented interfaces to agent and broker platforms, quoting engines and third-party data providers. Each integration is tested against the specific quirks those systems bring rather than assumed to behave uniformly.
08Can you take over an existing claims or policy system?
Yes, beginning with an assessment of the data and logic already in production rather than assumptions. The handover includes a stabilisation plan, so claims and policy servicing continue without interruption during the transition.