Generative AI is reshaping credit decisioning, but real ROI requires a disciplined, responsible approach.
As financial institutions face growing pressure to adopt AI, many struggle to move beyond pilots that deliver little measurable value. Overhype, regulatory uncertainty, and limited internal AI expertise often lead to stalled initiatives or misplaced investments.
“Generative AI in Credit Decisioning: How Financial Institutions Can Extract ROI from AI” outlines a pragmatic path forward. Rather than replacing core decision engines, the paper shows how GenAI can deliver immediate value by improving decision-adjacent processes such as data preparation, document intelligence, underwriting workflows, and operational efficiency—while preserving transparency and control.
Discover how a staged, use-case-driven adoption model can help financial institutions:
- Unlock near-term ROI from practical GenAI applications
- Reduce friction in underwriting and application review
- Improve decisioning speed without sacrificing governance
- Avoid common AI adoption pitfalls driven by overhype or overfear
- Build readiness for more advanced AI capabilities over time
\\\ Whitepaper
GenAI in Credit Decisioning
