Fintech technology — payment processing, lending platforms, digital wallets, regulatory technology (RegTech), and the data infrastructure powering real-time financial decisions. Xylity provides consulting, implementation, and pre-qualified specialists with fintech domain experience across 20+ technology services — AI, data engineering, cloud, enterprise applications, and more.
Fintech companies compete on speed, user experience, and data-driven decisions — while navigating financial regulations designed for traditional banks. The technology stack must be real-time, scalable, secure, and compliant. Every feature addition triggers a compliance review.
Key regulatory and compliance considerations: State money transmitter licenses, PCI-DSS, SOC 2, AML/BSA, consumer lending regulations (TILA, ECOA), data privacy (CCPA, GDPR).
Each page below maps a specific technology service to fintech-specific challenges, use cases, and deliverables.
AI, ML, RPA for fintech operations.
Pipelines, warehouses, governance for fintech.
Fintech dashboards and reporting.
Cloud infrastructure for fintech.
D365, Power Platform, SharePoint for fintech.
CRM for fintech customer management.
Xylity provides technology consulting across 22+ service areas for fintech — including AI, data engineering, business intelligence, cloud, Salesforce, Dynamics 365, Power Platform, and RPA. Each service tailored to fintech-specific regulations, processes, and challenges.
We select technologies based on your fintech requirements — Microsoft Fabric, Databricks, Azure, Salesforce, Dynamics 365, Power Platform, and 50+ other platforms. Our consultants understand both the technology and fintech domain requirements including: State money transmitter licenses, PCI-DSS, SOC 2, AML/BSA, consumer lending regulations (TILA, ECOA).
Yes. Pre-qualified specialists with fintech domain experience from 200+ delivery partners. 4-stage consulting-led matching. 92% first-match acceptance. 4.3-day average to first profile.
Technology consulting for fintech — AI, data engineering, cloud, enterprise apps, and specialist talent with domain experience. 4.3-day average to first curated profile. 92% first-match acceptance.