Improve Fraud Models
Catch more fraud with adaptive models your team can trust.
Why teams choose 247 Labs
We have delivered secure systems for finance, insurance, and other regulated environments for more than a decade.
Clients rely on 247 Labs for practical delivery, strong engineering, and clear collaboration in complex workflows.
Our team has shipped custom platforms, data products, and automation tools across high-trust operating environments.
Our Clients
The platforms and partners we build with.
We integrate across the tools and technologies trusted by enterprise teams, grouped by where they fit in the stack.
Healthcare
Government
Technology
Finance
Services
Fraud model services scoped around one measurable outcome.
We scope each engagement around a specific fraud decision or workflow so the data, model, and delivery path stay aligned to the result you need.
Fraud model assessment
Review your current rules, data quality, and detection gaps to find where a model will move the needle first.
Adaptive scoring models
Build scoring systems for payments, account activity, and suspicious behavior across digital channels.
Real-time scoring APIs
Deliver fraud scores into authorization, onboarding, and payment flows with low-latency APIs.
False-positive reduction
Tune thresholds, features, and ranking so analysts focus on the highest-value review queues.
Explainability & validation
Add explanation layers and validation workflows so risk and compliance can trust each score.
Monitoring & retraining
Launch with drift detection, performance monitoring, and retraining built into operations.
Challenge Map
Fix the three gaps that let fraud slip past your current models.
Fraud models fail when rules go stale, analysts drown in false positives, or scores cannot be explained to risk and compliance. We rebuild the model around all three from the start.
Static rules and stale models miss fraud patterns that change weekly.
We build adaptive scoring that combines transaction, behavioral, and profile data so the model detects emerging patterns sooner and shortens the lag between new fraud and new controls.
Often starts with a data and rule review.False positives overwhelm review teams and erode customer trust.
We tune precision and recall against your real cost of fraud, ranking alerts so analysts spend time on the cases most likely to be genuine fraud instead of clearing noise.
Best for high-volume review queues.Model scores are hard to explain to risk, compliance, or ops teams.
We add explainability layers, validation workflows, and governance-ready documentation so reviewers can understand why the model flagged a transaction before it drives a decision.
Critical for lending and compliance use cases.Case Studies
Finance case studies with measurable outcomes.
World Vision: validation engine for global micro-lending data
40% better data accuracy
247 Labs built a data validation engine for micro-lending survey data that reduced manual errors, flagged risky entries, and improved decision speed through automated scoring and reporting.
Read case study →
DOE budgeting portal: ETL framework for faster planning data
30% faster data processing
247 Labs developed a tailored ETL framework and dashboard layer that improved data accuracy, reduced manual workload, and gave staff faster access to planning insights.
Read case study →
DYOM: digital mortgage pre-approvals and sign-up automation
30% faster approvals
247 Labs built a mortgage approval platform that automated pre-approvals, tracked applications in real time, and improved sign-up performance with a clearer client and broker experience.
Read case study →Capabilities
The strategy, build, and controls layer behind better fraud models.
We help teams target the right fraud decision, build the scoring system properly, and deliver it where risk and operations teams can actually use it.
Target the right fraud decision
We align fraud cost, data reality, and control needs before model work starts.
- Detection gap review
- Data readiness checks
- Fraud cost and KPI design
- Control requirement mapping
Build production scoring systems
We create pipelines, scoring APIs, and interfaces that support real-time fraud decisions.
- Feature and training pipelines
- Real-time scoring APIs
- Case and review interfaces
- Monitoring and retraining
Make scores easier to trust
We design confidence, review, and validation layers that help teams act on each flag.
- Confidence scoring views
- Analyst review checkpoints
- Explainability summaries
- Drift and change alerts
Support governance and audit
We structure delivery around access, documentation, and model oversight expectations.
- Model audit history
- Role-based data access
- Validation documentation
- Decision trace support
Tech Stack
Fraud scoring should plug into the data and workflows you already run.
We build around your transaction systems, review queues, and reporting layers so fraud models support real work instead of creating another disconnected tool.
I've been working with 247 Labs for over 5 years. They have been very committed to my projects! highly recommend Their team has been able to take design, feedback from scratch and turned it into a revenue generating platform.
Russ Morrison, CEO and founder, TMS technologies
Business Benefits
Better fraud models pay off in timing, precision, and trust.
The value is faster detection, fewer wasted reviews, and scores your team can defend inside real controls.
Detect fraud sooner
Identify changing fraud patterns faster than static rules can surface them.
Cut false positives
Help analysts focus on genuine fraud instead of clearing low-value alerts.
Decide in real time
Move scoring into authorization, onboarding, and payment flows where speed matters.
Defend every score
Add explainability and validation so reviewers understand how a flag was reached.
Use fraud signals better
Turn fragmented transaction and behavioral data into clean, repeatable model inputs.
Ready to improve fraud models that catch more without slowing the business?
Talk with 247 Labs about the fraud decision, data path, and delivery plan that can move your detection into production more safely.
Start Your Fraud Model ProjectFAQ
Common questions before a fraud model project moves forward.
We start with a detection gap review. If the data and signals are sound but thresholds are off, we tune; if the model misses whole pattern classes, we rebuild the scoring approach around your real fraud cost.
Yes. We tune precision and recall against the cost of fraud versus the cost of review, and rank alerts so analysts focus on the cases most likely to be genuine fraud.
We add explanation layers, review checkpoints, monitoring, and governance-ready documentation so each score is easy to understand and defend internally.
Yes. We can design scoring to run inside your controlled cloud or infrastructure so sensitive transaction data does not have to leave your stack.
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
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Schedule A Free Consultation
