Reduce delinquencies & manual work with automated loan servicing (origination-to-EMI)

Many mid-size banks, credit unions and 60,000 nonbank lenders struggle with rising delinquencies and a heavy manual servicing burden across origination, collections and EMI reconciliation, which drives up costs and limits recoveries. Teams are stuck on spreadsheet-based workflows, inconsistent scoring, and slow re-underwriting, so operational inefficiency and missed recovery opportunities are common. You could build an API-first, end-to-end loan servicing platform that automates origination-to-EMI flows: AI-driven underwriting and continuous re-scoring, PSD2/open-banking transaction ingestion for cashflow-based validation, payment orchestration and reconciliation, plus configurable collections workflows and reporting. Targeting an average contract value of about $200K, the total addressable market is roughly $12.0B (60,000 lenders x $200K ACV). This market is unusually attractive now—Market Score 92/100 and Revenue Potential 85/100—because better small-sample AI scoring, real-time bank data, and the rise of embedded finance mean lenders can both underwrite tighter and automate ongoing recovery, while new fintech lenders prefer turnkey stacks over bespoke builds. Demand is accelerating, but the sales cycle and integration work remain material. To stand out, focus on demonstrable recovery lift (proof points), verticalized templates for segments like consumer, SME and BNPL, and pre-built integrations with major banks and payment processors to reduce time-to-live; emphasize compliance and auditability as a sales differentiator. Be realistic about challenges: competition is medium, integrations and regulatory variability across jurisdictions are costly, and you’ll need strong data partnerships and case studies to win trust.