Lending technology — loan origination, underwriting automation, servicing platforms, collections optimization, and the data analytics powering credit decisions. Xylity provides consulting, implementation, and pre-qualified specialists with lending domain experience across 20+ technology services — AI, data engineering, cloud, enterprise applications, and more.
Lending is being transformed by data: alternative credit scoring, automated underwriting, real-time fraud detection, and the digital origination experiences that borrowers now expect. Legacy loan origination systems can't support the speed and data intensity that modern lending requires. Regulatory compliance (TILA, ECOA, fair lending) adds complexity to every automation decision.
Key regulatory and compliance considerations: Truth in Lending Act (TILA), Equal Credit Opportunity Act (ECOA), Fair Housing Act, HMDA reporting, state lending licenses, CFPB oversight.
Each page below maps a specific technology service to lending-specific challenges, use cases, and deliverables.
AI, ML, RPA for lending operations.
Pipelines, warehouses, governance for lending.
Lending dashboards and reporting.
Cloud infrastructure for lending.
D365, Power Platform, SharePoint for lending.
CRM for lending customer management.
Xylity provides technology consulting across 22+ service areas for lending — including AI, data engineering, business intelligence, cloud, Salesforce, Dynamics 365, Power Platform, and RPA. Each service tailored to lending-specific regulations, processes, and challenges.
We select technologies based on your lending requirements — Microsoft Fabric, Databricks, Azure, Salesforce, Dynamics 365, Power Platform, and 50+ other platforms. Our consultants understand both the technology and lending domain requirements including: Truth in Lending Act (TILA), Equal Credit Opportunity Act (ECOA), Fair Housing Act, HMDA reporting, .
Yes. Pre-qualified specialists with lending 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 lending — AI, data engineering, cloud, enterprise apps, and specialist talent with domain experience. 4.3-day average to first curated profile. 92% first-match acceptance.