AI-powered credit decisioning provider Scienaptic AI has announced a new integration with banking technology platform Temenos, enabling US credit unions to embed advanced AI-driven credit analytics directly within their loan origination processes. The collaboration is designed to help lenders make faster, more informed credit decisions while expanding responsible access to lending for a broader range of members.
AI decisioning embedded inside lending workflows
Through the integration, credit unions using the Temenos Loan Origination Solution can now access Scienaptic‘s AI-powered credit decisioning tools directly within their existing lending workflows. The embedded capability allows lenders to analyse borrower data more effectively, automate parts of the decision process and deliver approvals faster without disrupting existing systems.
Temenos serves more than 950 core banking clients and over 600 digital banking customers worldwide. By integrating directly into the Temenos ecosystem, Scienaptic’s AI decisioning signals can be deployed more easily across institutions already using the platform.
According to the companies, several credit unions have already implemented the solution, reporting improvements in approval rates and faster lending decisions as a result of the AI-driven insights.
Credit unions targeting faster and more inclusive lending
For credit unions, the integration aims to improve both operational efficiency and financial inclusion by enabling lenders to evaluate applicants using broader data signals.
Chad Wilcox, Senior Vice President of Lending at Credit Union of Colorado, said the integration is helping the institution respond more quickly to member borrowing needs while expanding access to credit.
The combination of Temenos’ loan origination platform with Scienaptic’s AI models allows the credit union to process lending decisions more efficiently while maintaining confidence in its underwriting framework.
Rodrigo Silva, President for the Americas at Temenos, said the integration reflects the company’s strategy of bringing intelligent capabilities directly into core banking workflows so institutions can deliver better outcomes for customers.
Patrick McElhenie, Chief Growth Officer at Scienaptic AI, added that the partnership enables credit unions to improve lending decisions without replacing existing infrastructure, allowing institutions to adopt AI capabilities without complex system overhauls.
What this means for the industry
- AI is becoming embedded directly within loan origination systems rather than operating as a separate decision engine
- Credit unions are increasingly using AI models to expand lending while managing risk more effectively
- Integrations with core and lending platforms are reducing the complexity of deploying AI across banking systems
- Data-driven decisioning tools are helping financial institutions improve approval rates while maintaining responsible lending standards
