Fintech Fraud Graph
Real-time fraud detection as a knowledge graph: entity resolution across accounts, IP, device, and card fingerprints; ML scoring per transaction in under 15ms; SAR and CTR auto-draft; global rule engine.
Features
- ✦Entity resolution graph across accounts, IPs, devices, cards, and emails
- ✦Real-time ML scoring per transaction in under 15ms
- ✦SAR and CTR auto-draft — zero compliance team manual data entry
- ✦Global rule engine per jurisdiction, instant payment scheme, and card network
Pricing
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Benefits
ROI Calculator
Estimate the business value of Fintech Fraud Graph for your organization.
Estimates based on 3.2x average productivity lift for ai category services. Actual results vary by workflow maturity, organisation size, and implementation depth.
Why Fintech Fraud Graph?
- Pre-built by experts — no multi-month build cycle
- Fully managed 24/7 — zero DevSecOps burden
- Unlimited proposals, custom pricing & SLAs
Deployment Roadmap
AI-Inferred • 5 phasesEstimated timeline for Fintech Fraud Graph — adapt to your team size and complexity.
1. Scope & Data Audit
Week 1–2- ✓Define use-cases + success KPIs
- ✓Inventory existing data sources + formats
- ✓Data quality + labelling review
- ✓Tech-stack + model-selection workshop
2. Model & Pipeline Build
Week 3–5- ✓Fine-tune / prompt-engineer model
- ✓Build inference pipeline + API
- ✓Unit tests + eval on hold-out set
- ✓Internal demo + feedback loop
3. Pilot & Evaluation
Week 6–7- ✓Pilot with 10–20 real use-cases
- ✓Collect user feedback + KPI report
- ✓Fix edge-cases + regressions
- ✓Finalize production config
4. Production Roll-out
Week 8- ✓CI/CD pipeline + rollback plan
- ✓User training + documentation
- ✓Go-live monitoring + alert setup
- ✓30-day health-check call
5. Optimize & Scale
Ongoing- ✓Monthly quality review
- ✓Model fine-tune on new data
- ✓Usage analytics + cost optimisation
- ✓Feature backlog prioritisation
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Ready to Get Started?
Let's discuss how Fintech Fraud Graph can transform your business. 364 E Main St STE 1008, Middletown, DE 19709 · +1 302 464 0950