10 Fintechs, 10 Formats. One View.
Every fintech sends complaint data differently-different columns, different definitions, different categorizations. We normalize everything into one consistent format with unified complaint taxonomy.
From sponsor banks overseeing fintech programs to ARM companies managing collections, Spring Labs provides agentic AI that does the work-not just dashboards to interpret.
More partners. More risk. Same team. Get consistent oversight across all fintech programs without proportional headcount growth.
Every fintech sends complaint data differently-different columns, different definitions, different categorizations. We normalize everything into one consistent format with unified complaint taxonomy.
Your fintechs' agents identify complaints at 60-70% accuracy. We flag what they miss, surface data gaps, and highlight inconsistencies-before your quarterly review reveals the problem.
Define "complaint" once. We apply that definition across every partner's conversations. No more definitional drift or partners undercounting to look good.
Manual aggregation across fintech programs takes 40+ hours per cycle. Spring Labs delivers the same analysis-already normalized, categorized, and flagged-in under 2 hours.
Your sponsor bank asks more questions every month. Your complaint logs keep getting kicked back. There's a better way.
Generate monthly complaint logs in your sponsor bank's exact format-WebBank, Celtic, FinWise, whoever. Same data, different exports. We've never had a file rejected.
Different sponsor banks want different formats. Just upload each bank's requirements document-AI extracts the mappings and builds the export template automatically.
Outsourced teams, ESL agents, high turnover-complaint identification is 60-70% accurate at best. We analyze the same calls and catch what they miss.
Regulatory risk surfaces the same day it happens-not when your sponsor asks about it. Real-time alerts on UDAP indicators, complaint spikes, or compliance failures.
Millions of conversations. 2% sampled. The risk is hiding in the 98% you're not reviewing.
You're sampling 2% of calls. That consent order risk is hiding in the other 98%. We analyze every conversation-voice, chat, email-across all business lines.
Different tools for QA, complaints, and CX means 20% productivity loss per additional platform. One unified view. One source of truth. One vendor to manage.
Same issue affecting credit cards, deposits, and mortgages? Your siloed teams can't see it. We surface patterns across products before they become systemic.
Examiner asks for complaint trends by product and region? Generate it in 5 minutes. The data is already structured, tagged, and ready for any cut you need.
Growing 10x shouldn't mean hiring 3x compliance staff. AI agents scale where humans can't.
Every 10x in customers used to mean 3x in compliance headcount. AI agents handle QA, complaints, and CX analysis-your 2-person team stays a 2-person team.
Every new embedded finance partner is monitored from day one with the same standards. No ramp-up time, no oversight gaps during onboarding.
Show your enterprise clients real-time compliance dashboards and conversation analytics. Differentiate on oversight-not just price.
Know about issues in your lending partner's calls the same hour they happen. Don't wait for partner reporting cycles to learn about problems.
FDCPA. TCPA. Reg F. Every call is a compliance risk. Every call should be monitored-not 2%.
Mini-Miranda compliance on 100% of calls1, not a 2% sample. Know immediately when required disclosures are missed-before the CFPB complaint arrives.
Consumer says "I don't owe this" or "that's not my account"-that's a dispute. 40% of collectors don't recognize it. We flag it in real-time.
Reg F limits contact attempts to 7 in 7 days. About to call for the 8th time? We'll stop you. TCPA timing, consent, and frequency all tracked automatically.
Every creditor client wants different metrics, different formats, different definitions. Generate client-specific performance and compliance reports with one click.
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