How Sungglow increased loan approval speed by 5x in 45 days.
Industry
SME lending
Location
Amsterdam, Netherlands
Employees
500-600
The challenge
Vaultex, an SME lending platform, was processing an average of 340 loan applications per week. Their credit team manually reviewed bureau data, bank statements, and financial documents for each application. Average time to decision: 3.8 days.
Borrower drop-off during the waiting period was running at 28% — meaning more than a quarter of applicants who completed an application never received an offer because they'd already gone elsewhere.
The solution
AgenticOS deployed credit decisioning agents that handled the full underwriting workflow:
Automated data ingestion from credit bureaus, open banking feeds, and uploaded documents
AI-powered cash flow analysis on 12 months of bank transaction history
Dynamic risk scoring incorporating 200+ variables including alternative data signals
Instant decision generation with plain-language explanation for declined applications
Human review queue for edge cases and high-value applications above defined thresholds
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"We were losing good borrowers every day simply because we were slow. AgenticOS fixed that problem completely. Our conversion rate has never been higher."
- CEO, Sungglow


