LENDING & FINANCE · INDUSTRY
AI for lending operations — borrower intelligence, document automation, and credit-team productivity.
Lending teams sit on years of borrower data spread across loan books, application systems, and document archives. The work that drives risk and revenue — knowing a borrower, processing files faster, reporting accurately — is exactly where AI compounds.
DeView builds lending-grade AI systems that respect regulatory boundaries and keep underwriters in control.
Featured deployment
DeView Unified Portal — one platform serving five lending companies, with five AI capabilities built on top.
Shared backbone for portal, database, and audit trail. AI Credit Analyst, Agentic AI Assistant, AI Email Processing, AI Document Processing, and AI Prompt Management — each reading from the same borrower database and writing back to the same audit trail. No silos, no copy-paste between systems.
See the buildUse cases
BORROWER INTELLIGENCE
Replace the spreadsheet shuffle with a 360° borrower view
Credit teams lose hours every day reconciling borrower information across systems — loan books, application records, overdue notices, repayment histories, KYC files. DeView builds a unified borrower view that pulls every record for any borrower into one searchable case file, scoped by permission. Underwriters and credit officers see complete history at a glance — across products, across companies if you operate as a network, across years.
What changes
- +One search replaces hours of cross-system lookups
- +Permission-scoped — staff see only what they’re authorised to see
- +Every action recorded for audit
LOAN DOCUMENT AUTOMATION
Process applications and supporting documents in minutes, not hours
Loan applications arrive as PDFs, scans, photos, and broker submissions in varied templates. AI reads each file, classifies document type, extracts key fields (applicant name, income, LTV ratios, employer, supporting IDs), and routes to the correct underwriting queue. Low-confidence outputs are flagged for human review. The team handles exceptions; the system handles the rest.
What changes
- +94% reduction in manual document handling time (live deployment)
- +Average file: 11 minutes processing (was 4+ hours)
- +Missing-document alerts sent automatically
AI CREDIT ANALYST
One-click case summaries — loan history, repayment behaviour, risk signals
Credit officers spend 15–20 minutes reading a borrower file before every meeting or decision. DeView’s AI credit analyst generates a complete narrative summary in seconds — loan history, repayment patterns, overdue status across all products, risk flags, recent activity. Officers spend their time on judgment, not on file assembly.
What changes
- +Replaces the 20-minute manual file review
- +Pulls from live data — never out of date
- +Cited — every claim traces back to a record in your database
REGULATORY REPORTING
Generate HKMA, PDPO, and MAS TRM reports on schedule
Regulatory reporting in lending requires pulling data from loan management, application, and risk systems, cross-referencing exposures, and producing structured reports on schedule. AI connects to your systems via read-only service accounts, runs the calculations, and generates the required reports automatically — ready for review and sign-off rather than manual assembly. Audit trail included by default.
What changes
- +Scheduled reports delivered before staff arrive
- +Audit trail recorded on every figure
- +Configurable for HKMA, MAS TRM, PDPO, GDPR — and your internal frameworks
Common questions from lending teams
AI shouldn’t make credit decisions. How is this different?
It isn’t — and we don’t. AI handles document intake, classification, extraction, summarisation, and report generation. Credit decisions stay with your credit officers. Every AI output is traceable to the source data, and uncertain outputs are flagged for human review before they affect any workflow.
Our borrower data is regulated under HKMA, PDPO, and MAS rules. Where does AI run?
Every deployment runs inside your cloud environment or on-premises infrastructure. No borrower data passes through DeView-operated systems. Role-based access controls, encryption in transit and at rest, full audit logging, and configurable data-residency boundaries come standard. We advise on the regulatory mapping before code is written.
Our borrower data is spread across loan management, CRM, scanned documents, and spreadsheets. Can AI work with that?
Yes — that’s the typical lending stack. We build connectors to each system via read-only service accounts, normalise records into a shared data layer, and process scanned documents through an extraction pipeline. Your existing systems remain the source of truth; the AI reads from them and writes audit records back. Nothing gets ripped and replaced.
If we’re a multi-company network, how do you keep data separated between entities?
The platform is multi-tenant from day one. Each staff member sees only the borrowers, companies, and data they’re authorised for — enforced at the database row level, not the UI. A user from Company A cannot query, summarise, or export anything from Company B unless explicitly granted. Every cross-entity query is logged.
Start with a workflow
Tell us the lending or credit-ops process that’s costing the most manual time.
We reply within 1–2 business days with a specific recommendation — what AI can do, how long deployment takes, and a cost range.