Underwriting Software Development
Automate the risk review that shouldn't need a manual look.
Why teams choose 247 Labs
We have delivered secure risk and underwriting systems for insurance, finance, and healthcare organizations for more than a decade.
Clients value practical rules design, reliable delivery, and underwriting systems built around real risk appetite.
Our team has shipped custom platforms, scoring models, and integrations across insurance and enterprise operations.
Challenge Map
Solve the three issues that slow underwriting decisions down.
---
Underwriters manually review data that automated rules could pre-screen.
We build scoring and rules engines that triage standard risks automatically, freeing underwriters to focus on complex or borderline accounts.
Often starts with a risk-tier review.Risk data is scattered across bureaus, forms, and legacy systems.
We integrate third-party data sources and internal systems into one underwriting workspace so decisions are made on a complete picture.
Useful when data pulls are still manual.Underwriting guidelines change faster than your current system can support.
We build configurable rules and referral logic so guideline changes roll out without a development cycle for every update.
Good for teams updating appetite frequently.Services
Underwriting services for teams improving speed and consistency.
---
Underwriting needs assessment
Review current decision workflows, data sources, and referral rates before committing to a direction.
Custom underwriting build
Build a workflow platform that routes risks by tier, applies rules, and tracks decisions end to end.
Automated risk scoring
Apply consistent scoring logic to standard risks so underwriters focus on genuine exceptions.
Third-party data integration
Connect credit, claims history, and industry data sources directly into the underwriting workspace.
Referral workflow design
Route borderline risks to the right underwriter with the context they need to decide quickly.
Underwriting analytics
Track approval rates, referral volume, and turnaround time to spot bottlenecks early.
Case Studies
Insurance case studies with measurable outcomes.
Building a Scalable Digital Platform to Simplify Flexible Benefits Management for Edge Benefits
70% reduction in administrative workload
247Labs developed a fully configurable, web-based platform, allowing back-office users to manage insurance products and business rules efficiently. The system also supported bilingual functionality, allowing advisors and sales teams to handle quotations and enrollments. The platform was built mobile-responsive, making it accessible on-the-go for all user types. The platform allowed administrators to update products and policies in real-time, improving the overall management and flexibility of benefit plans.
Read case study →
World Vision: a data validation engine for global micro-lending
Cleaner, more reliable risk data at scale
247 Labs built a data validation engine supporting global micro-lending initiatives, applying the same structured data-quality discipline that automated underwriting depends on for consistent risk decisions.
Read case study →
Qi Value Systems: visualizing complex risk-trait data
Clearer, faster risk-profile interpretation
247 Labs built a data visualization tool that turns complex character-trait data into clear profiles, the same kind of interpretable scoring output underwriters need to trust automated risk decisions.
Read case study →Capabilities
The scoring, integration, and governance support underwriting needs.
---
Define the right underwriting model
We map risk tiers, data sources, and referral rules before choosing a build or automation path.
- Risk tier and rules audit
- Referral pattern mapping
- Build versus extend review
- Reporting requirement capture
Build an automated underwriting workflow
We create scoring engines, data integrations, and referral logic that speed up consistent decisions.
- Risk scoring engine development
- Third-party data integrations
- Referral and exception routing
- Data migration tooling
Reduce friction in the decision process
We focus on faster turnaround, lower referral rates, and clearer underwriter workload visibility.
- Turnaround time tracking
- Referral volume alerts
- Data quality checkpoints
- Dashboard visibility
Protect risk data and decisions
We design around fair-decision documentation, access controls, and audit expectations from the start.
- Role-based access rules
- Audit and change history
- Encryption and retention
- Privacy-aware integrations
Tech Stack
Underwriting should connect risk data, scoring, and decisions in one flow.
We build around the surrounding systems that make an underwriting platform useful for risk and operations teams.
247 Labs and their team were highly effective in their work, it is rare to find speed, detail and perfection, they have all three. Our team had an explosive idea, 247 Labs helped us get it off the ground.
AI Innovation Manager, IBM
Business Benefits
Automated underwriting improves speed and consistency.
---
Faster risk decisions
Pre-screen standard risks automatically so underwriters review fewer routine files.
More consistent outcomes
Apply the same rules and scoring logic to every application, reducing decision variance.
Better data completeness
Pull credit, claims, and industry data into one workspace instead of manual lookups.
Faster guideline rollout
Update rules and referral thresholds without a full development cycle for every change.
Clearer underwriter workload
See referral volume and turnaround time through dashboards built for the team.
FAQ
Common questions before an underwriting software project begins.
Automated underwriting software applies rules and scoring models to risk data so standard applications are decisioned instantly, while complex cases route to an underwriter.
No. Automation handles standard, low-complexity risks so underwriters spend their time on borderline and complex accounts that genuinely need judgment.
A focused single-line rules engine can take 4-6 months, while a multi-line platform with deep data integration typically runs 8-14 months.
Yes. We commonly connect credit bureaus, claims history databases, and industry-specific data sources directly into the underwriting workflow.
Let’s build something
great together.
We’re happy to answer any questions you may have and help you determine which of our services best fits your needs.
Call us at 1-877-247-7421 or email hello@247labs.com
Your Benefits:
- Client Oriented
- Independent
- Competent
- Result-driven
- Problem-solving
- Transparent
What happens next?​
1
We schedule a call at your convenience
2
We do a discovery and consulting meetingÂ
3
We prepare a proposalÂ
Office Locations:
Schedule A Free Consultation
